An AI-Powered Teacher Assistant for Student Problem Behavior Diagnosis - Chen, Penghe; Lu, Yu (AI in Learning: Designing the Future, 2023)
Student problem behavior refers to the students’ undesirable conducts and actions in schools. These behaviors severely affect students’ growth and development. In many cases, student problem behaviors are caused by the unsatisfied psychological needs, which are defined as the need deficiency. Hence, diagnosing students’ need deficiencies and regulating their problem behaviors are important educational tasks. The previous psychological studies have analyzed how distinct factors might affect student’s problem behaviors. However, the school teachers without such expertise may still encounter difficulties in applying these findings. Hence, this chapter describes the process of designing and implementing an intelligent teacher assistant, which could advise teachers and help them to handle the student problem behavior. Technically, it utilizes a task-oriented dialogue system to help identify the underlying reasons (i.e., the student need deficiency) behind their problem behaviors, and accordingly relies on a community question answering system to provide the advice. It also employs the semantic search technology to find the similar cases that have been well resolved by the experienced teachers.
Keywords: Assistant; Dialogue system; Need deficiency; Problem behavior; Question answering

Artificial intelligence (AI) student assistants in the classroom: Designing chatbots to support student success - Chen, Yu; Jensen, Scott; Albert, Leslie J.; Gupta, Sambhav; Lee, Terri (Information Systems Frontiers, 2023)
Publisher: Springer
Keywords: _z:no_pdf

A Blueprint for Education Data: Realising Children’s Best Interests in Digitised Education - Commission, Digital Futures (2023)
KerkoCite.ItemAlsoKnownAs: 4804264:MBTNIID8
Keywords: Final_citation; anystyle; existing

Artificial Intelligence in Education as a Rawlsian Massively Multiplayer Game: A Thought Experiment on AI Ethics - Cowley, Benjamin Ultan; Charles, Darryl; Pfuhl, Gerit; Rusanen, Anna-Mari (AI in Learning: Designing the Future, 2023)
In this chapter, we reflect on the deployment of artificial intelligence (AI) as a pedagogical and educational instrument and the challenges that arise to ensure transparency and fairness to staff and students . We describe a thought experiment: ‘simulation of AI in education as a massively multiplayer social online game’ (AIEd-MMOG). Here, all actors (humans, institutions, AI agents and algorithms) are required to conform to the definition of a player. Models of player behaviour that ‘understand’ the game space provide an application programming interface for typical algorithms, e.g. deep learning neural nets or reinforcement learning agents, to interact with humans and the game space. The definition of ‘player’ is a role designed to maximise protection and benefit for human players during interaction with AI. The concept of benefit maximisation is formally defined as a Rawlsian justice game, played within the AIEd-MMOG to facilitate transparency and trust of the algorithms involved, without requiring algorithm-specific technical solutions to, e.g. ‘peek inside the black box’. Our thought experiment for an AIEd-MMOG simulation suggests solutions for the well-known challenges of explainable AI and distributive justice.
Keywords: Artificial intelligence; Ethics; Learning analytics; Learning assistant; Massively multiplayer game; Rawlsian game; Thought experiment

The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations - Cowls, Josh; Tsamados, Andreas; Taddeo, Mariarosaria; Floridi, Luciano (AI & SOCIETY, 2023)
Abstract In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI’s greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based, and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combatting climate change, while reducing its impact on the environment.
KerkoCite.ItemAlsoKnownAs: 2129771:3LJPF7FY 2129771:6KRCTV6P

Supporting Teaching to Improve Teaching and Learning: A GPE KIX Scoping Study Working Paper - D'Angelo, Sophia; Cameron, L; Assane Igodoe, A; Sheria Nfundiko, J (Global Partnership for Education Knowledge and Innovation Exchange, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:3W8GWRZF

Collaborative construction of artificial intelligence curriculum in primary schools - Dai, Yun; Liu, Ang; Qin, Jianjun; Guo, Yanmei; Jong, Morris Siu‐Yung; Chai, Ching‐Sing; Lin, Ziyan (Journal of Engineering Education, 2023)
Abstract Background The recent discussion of introducing artificial intelligence (AI) knowledge to K–12 students, like many engineering and technology education topics, has attracted a wide range of stakeholders and resources for school curriculum development. While teachers often have to directly interact with external stakeholders out of the public schooling system, few studies have scrutinized their negotiation process, especially teachers' responses to external influences, in such complex environments. Purpose Guided by an integrated theoretical framework of social constructionism, this research examined the process of how a teacher‐initiated AI curriculum was constructed with external influences. The research focused on teachers' perspectives and responses in mediating external influences into local schools and classrooms. Methods A 3‐year ethnographic study was conducted in relation to an AI curriculum project among 23 Computer Science (CS) teachers from primary schools. Data collected from ethnographic observation, teacher interviews, and artifacts, were analyzed using open coding and triangulation rooted in the ethnographic, interpretivist approach. Results Three sets of external influences were found salient for teachers' curriculum decisions, including the orientation of state‐level educational policies, AI faculty at a partner university, and students' media and technology environments. The teachers' situational logics and strategic actions were reconstructed with thick descriptions to uncover how they navigated and negotiated the external influences to fulfill local challenges and expectations in classrooms and schools. Conclusions The ethnographic study uncovered the dynamic and multifaceted negotiation involved in the collaborative curriculum development, and offers insights to inform policymaking, teacher education, and student support in engineering education.

Artificial intelligence to automate the systematic review of scientific literature - De La Torre-López, José; Ramírez, Aurora; Romero, José Raúl (Computing, 2023)
Abstract Artificial intelligence (AI) has acquired notorious relevance in modern computing as it effectively solves complex tasks traditionally done by humans. AI provides methods to represent and infer knowledge, efficiently manipulate texts and learn from vast amount of data. These characteristics are applicable in many activities that human find laborious or repetitive, as is the case of the analysis of scientific literature. Manually preparing and writing a systematic literature review (SLR) takes considerable time and effort, since it requires planning a strategy, conducting the literature search and analysis, and reporting the findings. Depending on the area under study, the number of papers retrieved can be of hundreds or thousands, meaning that filtering those relevant ones and extracting the key information becomes a costly and error-prone process. However, some of the involved tasks are repetitive and, therefore, subject to automation by means of AI. In this paper, we present a survey of AI techniques proposed in the last 15 years to help researchers conduct systematic analyses of scientific literature. We describe the tasks currently supported, the types of algorithms applied, and available tools proposed in 34 primary studies. This survey also provides a historical perspective of the evolution of the field and the role that humans can play in an increasingly automated SLR process.

Cryptocurrencies on the road to sustainability: Ethereum paving the way for Bitcoin - De Vries, Alex (Patterns, 2023)
Publisher: Elsevier
Keywords: _yl:b

The growing energy footprint of artificial intelligence - De Vries, Alex (Joule, 2023)
Publisher: Elsevier
Keywords: _yl:a

Thermal energy storage enhanced windcatcher system for hybrid cooling and ventilation in buildings - Eso, Olamide (2023)
KerkoCite.ItemAlsoKnownAs: 4874017:ZDP45MEY 5072953:CSIQDIMN
Keywords: _z:class:countries; _z:class:themes

School-to-School Mobility Patterns and Retention Rates of Payroll Teachers in Sierra Leone - Espinoza-Revollo, Patricia; Ali, Yusuf; Garrod, Oliver; Atherton, Paul; Mackintosh, Alasdair; Beoku-Betts, Iman; Haßler, Björn (EdTech Hub, 2023)
This report is one of several on the research project on the Impact of GIS-Supported Teacher Allocation in Sierra Leone. Recent studies from this series have shown that being put on the government payroll can incentivise teachers to relocate to remote areas of the country. There is a concern, however, that being put on the payroll does not necessarily ensure the retention of teachers in these areas and that teachers will soon move to locations they consider more favourable. As there is no data on teacher mobility patterns and schools’ teacher retention rates, policies tend to be based on anecdotal evidence. This paper aims to fill this evidence gap by exploring teachers’ school-to-school mobility trends and retention rates using the Annual School Census (ASC) data from 2015 to 2021. Using data on teachers’ individual characteristics, as well as geospatial location data of each school, the paper explores whether mobility patterns vary by teachers’ gender or qualifications and whether the teaching workforce is urbanising. While studies have looked at teacher retention, this study is the first in a low-income country to use school census data to create a panel dataset to study teachers’ movements and school retention rates over time. Keywords: teacher mobility; teacher retention rates; mobility patterns; teacher deployment; Sierra Leone; education An output of the EdTech Hub https://edtechhub.org

Climate, Enviroment and Education - Presentation for the Tanzania Education Donors-Partners working group - Fab Inc; Laterite; Open Development and Education (2023)
Presentation for the Tanzania Education Donors-Partners working group – session on Education, Climate and Environment.
KerkoCite.ItemAlsoKnownAs: 2129771:FKT25FYV

SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples - Färber, Michael; Lamprecht, David; Krause, Johan; Aung, Linn; Haase, Peter (2023)
Abstract We present SemOpenAlex , an extensive RDF knowledge graph that contains over 26 billion triples about scientific publications and their associated entities, such as authors, institutions, journals, and concepts. SemOpenAlex is licensed under CC0, providing free and open access to the data. We offer the data through multiple channels, including RDF dump files, a SPARQL endpoint, and as a data source in the Linked Open Data cloud, complete with resolvable URIs and links to other data sources. Moreover, we provide embeddings for knowledge graph entities using high-performance computing. SemOpenAlex enables a broad range of use-case scenarios, such as exploratory semantic search via our website, large-scale scientific impact quantification, and other forms of scholarly big data analytics within and across scientific disciplines. Additionally, it enables academic recommender systems, such as recommending collaborators, publications, and venues, including explainability capabilities. Finally, SemOpenAlex can serve for RDF query optimization benchmarks, creating scholarly knowledge-guided language models, and as a hub for semantic scientific publishing. Data and Services: https://semopenalex.org https://w3id.org/SemOpenAlex Code: https://github.com/metaphacts/semopenalex/ Data License: Creative Commons Zero (CC0) Code License: MIT License
Book Title: The Semantic Web – ISWC 2023 ISBN: 9783031472428 9783031472435 Place: Cham Publisher: Springer Nature Switzerland

The State of Mobile Internet Connectivity Report 2023 - GSMA (GSMA, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:7V787896 5242966:IXBZGKWP

Curiosity and Interactive Learning in Artificial Systems - Haber, Nick (AI in Learning: Designing the Future, 2023)
As “scientists in the crib,” children learn through curiosity, tirelessly seeking novelty and information as they interact—really, play—with both physical objects and the people around them. This flexible capacity to learn about the world through intrinsically motivated interaction continues throughout life. How would we engineer an artificial, autonomous agent that learns in this way – one that flexibly interacts with its environment, and others within it, in order to learn as humans do? In this chapter, I will first motivate this question by describing important advances in artificial intelligence in the last decade, noting ways in which artificial learning within these methods are and are not like human learning. I will then give an overview of recent results in artificial intelligence aimed at replicating curiosity-driven interactive learning. I will then close by speculating on how AI that learns in this fashion could be used as fine-grained computational models of human learning.
Keywords: Artificial intelligence; Artificial systems; Curiosity; Interactive learning

Epidemiologic and Spatiotemporal Study on Access To Snakebite Care in Northern Nigeria - Halliru, Naziru; Badamasi, Murtala M.; Tudunwada, I.Y.; Dajel, Titus B.; Abubakar, Saidu B.; Hamza, Auwalu S.; Oluwashola, Sandra B.; Nalado, Nasiru K.; Dahiru, Muhammad; Na’abdu, Ibrahim; Saleh, Umar N.; Daiyab, Abdulhakim M.; et al. (Toxin Reviews, 2023)

Outputs Register for HLR 3: The Impact of GIS-Supported Teacher Allocation in Sierra Leone - Haßler, Björn; McBurnie, Chris; Beoku-Betts, Iman (EdTech Hub, 2023)

Guidelines, recommendations and tool for non-formal learning methods - Hassinen, Sirje (Quaderni di Comunità: persone, educazione e welfare nella società 5.0: 1, 2023, 2023)
Publisher: Eurilink KerkoCite.ItemAlsoKnownAs: 4804264:46X6H7PL
Keywords: Final_citation; ⛔ No DOI found

“Conversing” with Qualitative Data: Enhancing Qualitative Sociological Research through Large Language Models (LLMs) - Hayes, Adam S. (SocArXiv, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:52SRW69N 2129771:GLMWKKTF

Technology use in teacher preparation and professional development in low- and middle-income countries - Hennessy, Sara; D'Angelo, Sophia; Koomar, Saalim; Adam, Taskeen; Cao, Lydia; Haßler, Björn (Global Education Monitoring Report, 2023)
KerkoCite.ItemAlsoKnownAs: 4804264:GC4PFLTW
Keywords: Final_citation; cited; existing

Doing Research: A New Researcher’s Guide - Hiebert, James; Cai, Jinfa; Hwang, Stephen; Morris, Anne K; Hohensee, Charles (Springer International Publishing, 2023)
KerkoCite.ItemAlsoKnownAs: 10.1007/978-3-031-19078-0 2129771:VZSLQ78P

Chapter 10: Analysing data and undertaking meta-analyses - Deeks, JJ; Higgins, JPT; Altman, DG (Cochrane Handbook for Systematic Reviews of Interventions, 2023)

Cochrane Handbook for Systematic Reviews of Interventions - Higgins, Julian; Thomas, James (Cochrane Training, 2023)

Application of Machine Learning and Artificial Intelligence Technology in Mobile Communication Network - Huang, Shutong (2023 International Conference on Network, Multimedia and Information Technology (NMITCON), 2023)
KerkoCite.ItemAlsoKnownAs: 5440726:N86WVH4Z

Automated Knowledge Extraction from IS Research Articles Combining Sentence Classification and Ontological Annotation - Huettemann, Sebastian (2023)
KerkoCite.ItemAlsoKnownAs: 2129771:LYCK8PXB 2405685:APEG3W9C 2486141:M878DKL8
Keywords: _Added-ailr-2024; ⛔ No DOI found

Dialoguing teaching for visual impairment from the perspective of inclusive special education - Hulten, Thomas Peter; Junger, Alex Paubel; de Oliveira, Victor Inacio; Lui, Márcio de La Cruz; Fernandes, Vera Maria Jarcovis; Pinto, Marcelo Vianello (Revista de Gestão e Secretariado, 2023)

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses - Ibrahim, Hazem; Liu, Fengyuan; Asim, Rohail; Battu, Balaraju; Benabderrahmane, Sidahmed; Alhafni, Bashar; Adnan, Wifag; Alhanai, Tuka; AlShebli, Bedoor; Baghdadi, Riyadh (Scientific Reports, 2023)
Publisher: Nature Publishing Group UK London
Keywords: ❓ Multiple DOI

IPCC-Climate-Trends-Fact-Sheet-for-Africa - Intergovernmental Panel on Climate Change (2023)
KerkoCite.ItemAlsoKnownAs: 2129771:ACPG3L3V

The Mobile Gender Gap Report - Jeffrie, Nadia (GSMA, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:TRHT486K 5242966:FBUQSR78

Recent Advances in Intelligent Textbooks for Better Learning - Jiang, Bo; Gu, Meijun; Du, Ying (AI in Learning: Designing the Future, 2023)
Intelligent textbooks are a new form of digital textbooks that provides students with intelligent learning services, such as automatic question answering, adaptive navigation support, automatic linking, and personalized recommendation. Educators are investing much effort into the conversion of their paper-based textbooks and digital textbooks into intelligent textbooks. This chapter provides a brief introduction to the development of intelligent textbooks and reviews major adaptive technologies and the usage of intelligent textbooks in the past decade. We first summarize the development of intelligent textbooks and the existing authoring platforms. Then, the key intelligent technologies used in the intelligent textbooks are reviewed, including domain modeling, student modeling, and instruction technologies. Moreover, the empirical studies conducted to evaluate intelligent textbooks are summarized. This chapter would promote understanding of the current state of the technology and platform development of intelligent textbooks.
Keywords: Adaptive learning systems; Intelligent textbooks; Intelligent tutoring system

Trustworthiness of Systematic Review Automation-An interview at Coventry University - Jiang, Xiaorui (medRxiv, 2023)
Publisher: Cold Spring Harbor Laboratory Press KerkoCite.ItemAlsoKnownAs: 5440726:TMEQ6RX9
Keywords: ⛔ No DOI found

5 Challenges of Digital Transformation in the Public Sector - Kelly, Piers (GovNet, 2023)
Discover the hurdles of digital transformation in the public sector: legacy systems, budget constraints, data security, and change resistance.
KerkoCite.ItemAlsoKnownAs: 4804264:CI4SXX2D 4804264:NR3BSQYC
Keywords: Final_citation; anystyle; existing; ⛔ No DOI found

Learning Clinical Reasoning Through Gaming in Nursing Education: Future Scenarios of Game Metrics and Artificial Intelligence - Koivisto, Jaana-Maija; Havola, Sara; Mäkinen, Henna; Haavisto, Elina (AI in Learning: Designing the Future, 2023)
The COVID-19 pandemic has challenged healthcare professionals’ clinical reasoning, which can have serious consequences for patients. So far, the use of artificial intelligence (AI) in nursing education has been limited. Artificial intelligence (AI) is one solution for ensuring quality decision-making in demanding clinical situations in two ways. First, AI applications can support healthcare professionals’ clinical decisions. Second, AI techniques can be used to support learning clinical reasoning (CR) in healthcare education and training. This chapter focuses on the potential of exploiting AI through game metrics in nursing education. Previously, simulation games have proven effective for learning clinical reasoning skills. However, game metrics have not been commonly utilized in nursing simulation games, although research in other disciplines has shown that game metrics are suitable for demonstrating the achievement of learning outcomes. This chapter discusses the possibilities of using game metrics to develop adaptive features for nursing simulation games. Personalization and adaptivity in simulation games can enable meaningful learning experiences and enable nursing students to achieve good CR skills for their future work in constantly challenging clinical situations.
Keywords: Artificial Intelligence; Clinical reasoning; Game metrics; Gaming; Nursing education

Training Hard Skills in Virtual Reality: Developing a Theoretical Framework for AI-Based Immersive Learning - Korhonen, Tiina; Lindqvist, Timo; Laine, Joakim; Hakkarainen, Kai (AI in Learning: Designing the Future, 2023)
Advances in virtual reality (VR) technology afford creation of immersive virtual learning environments that simulate real-life learning contexts with increasing fidelity. When supported by sufficiently advanced artificial intelligence (AI)-based tutoring software, such environments may facilitate asynchronous, embodied learning approaches for learning hard, procedural skills in industrial settings – addressing timeliness, accuracy, and scalability issues common in the industry.
Keywords: 4E cognition; AI; Artificial intelligence; Grounded cognition; Hard skills training; Intelligent tutoring system; Machine learning; Virtual reality

Introducing ChatGPT to a researcher’s toolkit: An empirical comparison between rule-based and large language model approach in the context of qualitative content analysis of political texts in Finnish - Kousa, Ilona (Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages, 2023)
Keywords: ⛔ No DOI found

Artificial Intelligence Ethics from the Perspective of Educational Technology Companies and Schools - Kousa, Päivi; Niemi, Hannele (AI in Learning: Designing the Future, 2023)
This chapter discusses the ethical issues and solutions that educational technology (EdTech) companies and schools consider during their daily work. As an example, two Finnish cases are provided, in which companies and schools were interviewed about the problems they have experienced. The chapter first reviews the regulations and guidelines behind ethical AI. There are a vast number of guidelines, regulations, and principles for ethical AI, but implementation guidelines for how that knowledge should be put into practices are lacking. The problem is acute because, with the quick pace of technological development, schools are in danger of being left behind without sufficient education for effectively managing their uses of AI’s possibilities and coping with its challenges. Issues related to security and trustworthiness are also a growing concern. This chapter does not solve the ethical problems experienced by companies and schools but brings new perspectives into view in how they appear in the light of ethical principles such as beneficence, non-maleficence, autonomy, justice, and explicability. The aim is not only to continue the discussion in the field but to find ways to reduce the gap between decision-makers, businesses, and schools.
Keywords: Artificial intelligence; EdTech companies; Ethical challenges; Ethical principles; Schools

EdTech Impact Evaluation Frameworks: Summary 2023 - Kucirkova, Natalia I.; Campbell, Janine; Cermakova, Anna Lindroos (WikIT, 2023)
KerkoCite.ItemAlsoKnownAs: 4804264:TXTBER2C
Keywords: Final_citation; cited; existing

Fixing Ed-Tech’s Investment Model - Labun, Jakub (2023)
KerkoCite.ItemAlsoKnownAs: 4804264:ATCEIGSY
Keywords: Final_citation; anystyle; existing

The evolution of systematic evidence reviews: Past and future developments and their implications for policy analysis - Lemire, Sebastian; Peck, Laura R.; Porowski, Allan (Politics & Policy, 2023)
Abstract Evidence reviews are widely used to summarize findings from existing studies and, as such, are an important base for policy analysis. Over the past 50 years, three waves of evidence reviews have emerged: (1) the meta‐analysis wave, (2) the mixed‐methods synthesis wave, and (3) the core components wave. The present article first describes these waves and reflects on the benefits and limitations of each wave in the context of policy analysis. Informed by this historical account, the article then identifies and discusses three trends that are likely to influence future directions of evidence reviews: (1) using data science tools, (2) embedding an equity focus, and (3) translating research into practice. The concluding discussion connects these developments to public policy, identifying how evidence from systematic evidence reviews informs—or could better inform—policy decisions. Related Articles Nunes Silva, Carlos. 2012. “Policy and Evidence in a Partisan Age: The Great Disconnect—By Paul Gary Wyckoff.” Politics & Policy 40(3): 541–43. https://doi.org/10.1111/j.1747‐1346.2012.00363.x . Sinclair, Thomas A. P. 2006. “Previewing Policy Sciences: Multiple Lenses and Segmented Visions.” Politics & Policy 34(3): 481–504. https://doi.org/10.1111/j.1747‐1346.2006.00025.x . Smith‐Walter, Aaron, Holly L. Peterson, Michael D. Jones, and Ashley Nicole Reynolds Marshall. 2016. “Gun Stories: How Evidence Shapes Firearm Policy in the United States.” Politics & Policy 44(6): 1053–88. https://doi.org/10.1111/polp.12187 . , La evolución de las revisiones sistemáticas de evidencia: Desarrollos pasados y futuros y sus implicaciones para el análisis de políticas Las revisiones de evidencia se utilizan ampliamente para resumir los hallazgos de estudios existentes y, como tales, son un tipo importante de análisis de políticas. En los últimos 50 años, han surgido tres oleadas de revisiones de evidencia: (1) la oleada de metanálisis, (2) la oleada de síntesis de métodos mixtos y (3) la oleada de componentes centrales. El presente artículo primero describe estas oleadas y reflexiona sobre los beneficios y limitaciones de cada oleada en el contexto del análisis de políticas. Basado en este relato histórico, el artículo luego identifica y analiza tres tendencias que probablemente influirán en las direcciones futuras de las revisiones de evidencia: (1) usar herramientas de ciencia de datos, (2) incorporar un enfoque de equidad y (3) traducir la investigación a la práctica. La discusión final conecta estos desarrollos con la política pública, identificando cómo la evidencia de las revisiones sistemáticas de evidencia informa, o podría informar mejor, las decisiones de política. , 系统性证据审查的演变:过去和未来的发展及其对政策分析的影响 证据审查被广泛用于总结现有研究结果，因此是一种重要的政策分析类型。过去50年里，出现了三次证据审查浪潮，即荟萃分析、混合方法综合、以及核心组分法。本文首先描述了这三种方法，并在政策分析情境下反思了每种方法的优势和局限性。根据这一历史叙述，本文随后识别并探讨了可能影响证据审查未来方向的三种趋势:(1)使用数据科学工具，(2)嵌入公平视角，(3)将研究转化为实践。结论将这些发展与公共政策相联系，识别了来自系统性证据审查的证据如何影响政策决策(或如何能更好地影响政策决策)。
KerkoCite.ItemAlsoKnownAs: 10.1111/polp.12532 2129771:P4NC7GH4 2405685:HNC2CICS 2486141:KBTHBHWM 2486141:U8BG8VRZ
Keywords: _Added-ailr-2024; análisis de políticas; componentes básicos; core components; evidence review; meta-analysis; metanálisis; mixed methods; métodos Mixtos; policy analysis; research synthesis; revisión de evidencia; revisión sistemática; systematic review; síntesis de Investigación; 政策分析; 核心组分; 混合方法; 研究综合; 系统性综述; 荟萃分析; 证据审查

Learning from Intelligent Social Agents as Social and Intellectual Mirrors - Maples, Bethanie; Pea, Roy D.; Markowitz, David (AI in Learning: Designing the Future, 2023)
The interaction capabilities of Intelligent Social Agents, made possible by advances in artificial intelligence, are eliciting deep emotional bonding with users, leading researchers to reexamine the impact and potential uses of these human-machine relationships in education. In this work, we examine how one best-in-class ISA, Replika, might be affecting users socially, emotionally, and cognitively. Our results indicate that many use Replika as a social and cognitive mirror, facilitating their learning and development this way. The confluence of new functionality, product narrative, and user life stressors make ISAs an emerging tool for not only emotional support, but also cognitive support and development.
Keywords: Anthropomorphism; Chatbot; Digital therapy; Displacement hypothesis; Embodied artificial intelligence; Extended mind; Intellectual mirror; Intelligent social agents; Virtual agents

Digital Dystopia The Danger in Buying What the EdTech Surveillance Industry is Selling - Marlow, C. (American Civil Liberties Union (ACLU), 2023)
KerkoCite.ItemAlsoKnownAs: 4804264:RINV26P7
Keywords: Final_citation; anystyle; existing

OpenCitations Meta - Massari, Arcangelo; Mariani, Fabio; Heibi, Ivan; Peroni, Silvio; Shotton, David (2023)
OpenCitations Meta is a new database that contains bibliographic metadata of scholarly publications involved in citations indexed by the OpenCitations infrastructure. It adheres to Open Science principles and provides data under a CC0 license for maximum reuse. The data can be accessed through a SPARQL endpoint, REST APIs, and dumps. OpenCitations Meta serves three important purposes. Firstly, it enables disambiguation of citations between publications described using different identifiers from various sources. For example, it can link publications identified by DOIs in Crossref and PMIDs in PubMed. Secondly, it assigns new globally persistent identifiers (PIDs), known as OpenCitations Meta Identifiers (OMIDs), to bibliographic resources without existing external persistent identifiers like DOIs. Lastly, by hosting the bibliographic metadata internally, OpenCitations Meta improves the speed of metadata retrieval for citing and cited documents. The database is populated through automated data curation, including deduplication, error correction, and metadata enrichment. The data is stored in RDF format following the OpenCitations Data Model, and changes and provenance information are tracked. OpenCitations Meta and its production. OpenCitations Meta currently incorporates data from Crossref, DataCite, and the NIH Open Citation Collection. In terms of semantic publishing datasets, it is currently the first in data volume.
Publisher: [object Object] Version Number: 1
Keywords: Digital Libraries (cs.DL); FOS: Computer and information sciences

Understanding Sustainable Exit Strategies of Voluntary Development Organisations. Amical Break-Up or Messy Divorce? - Mil, Anne-Fleur Lurvink, Imke van, Sara Kinsbergen (The Rise of Small-Scale Development Organisations, 2023)
Over the past decade, the changing aid architecture has been at the center of attention in development studies. The increasing number of established development actors and the influx of alternative development actors are attracting the attention of academic research. At the same time, still relatively little attention is being given to organisations exiting the field. In this chapter, we present a new framework to study sustainable exist strategies. We apply the framework on the ending of the partnership of two Dutch voluntary, small-scale development organisations (Private Development Initiatives, PDI) with their Indonesian local counterparts. Through a case-study approach, we study why and how partnerships are ended and how this impacts the sustainability of development interventions. We argue that the emotional connection between the PDI and its local counterpart is key feature in understanding their exits.
Num Pages: 16

Gender equality and edtech: what are the barriers and enablers to enhance equity in and through edtech? - Myers, Christina; Jordan, Katherine; Zubairi, Asma (2023)
Publisher: UNESCO
Keywords: ⛔ No DOI found

Foundation and large language models: fundamentals, challenges, opportunities, and social impacts - Myers, Devon; Mohawesh, Rami; Chellaboina, Venkata Ishwarya; Sathvik, Anantha Lakshmi; Venkatesh, Praveen; Ho, Yi-Hui; Henshaw, Hanna; Alhawawreh, Muna; Berdik, David; Jararweh, Yaser (Cluster Computing, 2023)
Publisher: Springer
Keywords: ⛔ No DOI found

Artificial Intelligence and Machine Learning for Climate Change Mitigation and Adaptation - Natani, Garima (Artificial Intelligence and Sustainable Computing, 2023)
Series Title: Algorithms for Intelligent Systems
Keywords: _z:no_pdf

National Digital Literacy Framework - National Information Technology Development Agency (2023)
KerkoCite.ItemAlsoKnownAs: 2129771:RQBLIA6Q 5242966:9JFB76NA

When Artificial Intelligence Voices Human Concerns: The Paradoxical Effects of AI Voice on Climate Risk Perception and Pro-Environmental Behavioral Intention - Ni, Binbin; Wu, Fuzhong; Huang, Qing (International Journal of Environmental Research and Public Health, 2023)
Publisher: MDPI

Edtech and parental engagement - Nicolai, Susan; Rui, Tingting Yang; Zubairi, Asma; Seluget, Chebet; Kamninga, Tony (2023)
Publisher: UNESCO: United Nations Educational, Scientific and Cultural Organisation
Keywords: ⛔ No DOI found

AI in Learning: Designing the Future - Niemi, Hannele; Pea, Roy D.; Lu, Yu (Springer International Publishing, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:6LUZ2DH7 2129771:HB3MBKVV
Keywords: Open Access; artificial intelligence; deep learning; games; human-machine interaction; intelligent digital tools; learning analytics; life-long learning; robotics; simulations; tutoring; virtual learning; well-being

Introduction to AI in Learning: Designing the Future - Niemi, Hannele; Pea, Roy D.; Lu, Yu (AI in Learning: Designing the Future, 2023)
The introduction chapter focuses on the main questions of the whole book AI in Learning: Designing the Future: (1) How is learning changing when human learning and machine learning are connected and what consequences does this conjunction have for education, also for working life as lifelong learning and (2) what kind of ethical issues are emerging with AI in education from the viewpoints of schools and other learning environments. The chapter first summarizes how recent AI technologies provide several options for learning and educational services and how AI is applied already in societies. In education and learning, many advanced techniques are already available, and we have tentatively promising findings. However, the accelerating pace of development of technology expands AI’s potentialities in education, so we need extensive new research about educational implementations and their effects on human learning and people’s lives. The chapter also summarizes how different chapters provide new research on AI in learning and education.
Keywords: AI ethical issues; Artificial intelligence; Human learning; Lifelong learning; Machine learning

Multiple Users’ Experiences of an AI-Aided Educational Platform for Teaching and Learning - Niu, Shuanghong Jenny; Li, Xiaoqing; Luo, Jiutong (AI in Learning: Designing the Future, 2023)
This chapter aims to provide a better understanding of how AI technology can be used to assist in teaching and learning at schools. The Smart Learning Partner (SLP) educational platform is based on AI technology to provide new possibilities for individualized learning and more educational resources. We used a case study approach to investigate how this AI-aided SLP platform helped to assist in teaching and learning from the multiple users’ perspectives of students, teachers, and the principal at a Chinese school. This chapter starts with a description of AI used in education and learning. The AI-aided SLP educational platform is then presented to illustrate in what ways it works to assist in teaching and learning. Based on the users’ self-reported experience, this platform can support students’ learning by providing students with individualized diagnostic feedback and assessments as well as information about the progress of their learning. In addition, students receive recommendations of micro lectures from the platform to aid improvement based on the students’ assessment results. Additionally, students can also access various micro lectures according to their interests. This platform provides teachers with reports of real-time learning situations and progress at the individual or class level. Accordingly, teachers can better adjust their pedagogical decision and teaching according to the students’ needs. The principal used the information to allocate resources and assist in curriculum planning at school. In conclusion, all users positively stated that this AI-aided SLP platform assisted in teaching and learning at school even though there were still certain challenges. At the end of the chapter, recommendations for the future platform design are offered.
Keywords: AI-aided educational platform; Artificial intelligence (AI); Multiple perspectives; Teaching and learning

Enriching the scholarly metadata commons with citation metadata and spatio-temporal metadata to support responsible research assessment and research discovery - Nüst, Daniel; Yücel, Gazi; Cordts, Anette; Hauschke, Christian (2023)
In this article, we focus on the importance of open research information as the foundation for transparent and responsible research assessment and discovery of research outputs. We introduce work in which we support the open research information commons by enabling, in particular, independent and small Open Access journals to provide metadata to several open data hubs (Open Citations, Wikidata, Open Research Knowledge Graph). In this context, we present The OPTIMETA Way, a means to integrate metadata collection, enrichment, and distribution in an effective and quality-ensured way that enables uptake even amongst small scholar-led publication venues. We have designed an implementation strategy for this approach in the form of two plugins for the most widely used journal publishing software, Open Journal Systems (OJS). These plugins collect, enrich, and automatically deliver citation metadata and spatio-temporal metadata for articles. Our contribution to research assessment and discovery with linked open bibliographic data is threefold. First, we enlarge the open research information data pool by advocating for the collection of enriched, user-validated metadata at the time of publication through open APIs. Second, we integrate data platforms and journals currently not included in the standard scientometric practices because of their language or lack of support from big publishing houses. Third, we allow new use cases based on location and temporal metadata that go beyond commonly used discovery features, specifically, the assessment of research activities using spatial coverage and new transdisciplinary connections between research outputs.
Publisher: [object Object] Version Number: 1
Keywords: Digital Libraries (cs.DL); FOS: Computer and information sciences; H.0

Curriculum Revolution in Higher Education: The Mighty Role of Artificial Intelligence - Ogunode, Niyi Jacob; UKOZOR, Conrad Ugochukwu (Indonesian Journal of Innovation Studies, 2023)
Keywords: _z:no_pdf

Government Decision-Making on Education in Low- and Middle-Income Countries: Understanding the Fit among Innovation, Scaling Strategy, and Broader Environment - Olsen, B. (2023)
Place: Brookings KerkoCite.ItemAlsoKnownAs: 4804264:4XT9HE46
Keywords: Final_citation; anystyle; existing

A level and other 16 to 18 results, Academic year 2022/23 - ONS (2023)
In 2022/23 there was a return to pre-pandemic standards for GCSEs, AS and A levels, with protection built into the grading process to recognise the disruption that students have faced. For VTQs that are taken alongside, or instead of, GCSEs and A levels, there was also a return to pre-pandemic standards in 2022/23. More information on qualification grading approaches in 2023 and in 2022 can be found at Exam results 2023: 10 things to know about GCSE, AS and A level grades - The Ofqual blog and Vocational and technical qualifications grading in 2023 - The Ofqual blog and Ofqual’s approach to grading assessments in summer 2022 article. The 16 to 18 performance measures reported in this release for the 2022/23 academic year have been affected by the following factors: The return to pre-pandemic grading in 2022/23, with some protections. 2023 performance measures may include some qualification grades that were awarded in 2021/22 using a different grading approach. Results achieved between January 2020 and August 2021 are not included in the calculations. The ongoing uneven impacts of the pandemic on different schools/colleges and students. Throughout this release, comparisons are made with 2022 and with 2019. The more meaningful comparison is with 2019, which is the last year that summer exams were taken before the pandemic, as 2023 saw a return to pre-pandemic grading, with some protections. In 2022, outcomes broadly reflected a mid-point between 2019 and 2021, to take account of the impact of the pandemic and in line with Ofqual’s approach to grading in 2022. It is expected that performance in 2023 will generally be lower than in 2022. For this reason, users need to exercise extreme caution when considering comparisons over time, as they may not reflect changes in student performance alone.
KerkoCite.ItemAlsoKnownAs: 2129771:EA2GVTDC 2486141:78D2SKYI

Key stage 1 and phonics screening check attainment, Academic year 2022/23 - ONS (2023)
This publication provides the attainment of pupils in the 2023 phonics screening check and key stage 1 (KS1) national curriculum teacher assessments (TA). It includes statistics for pupils in schools in England: at national level, broken down by the following pupil characteristics: gender, disadvantage, free school meal eligibility, ethnicity, special educational need status, first language and month of birth; at national level, broken down by the following school characteristics: school type, school phase, cohort size and school religious character; at regional and local authority level, broken down by gender. Pupils take the phonics screening check at the end of year 1, typically aged 6. Pupils who do not meet the expected standard take the check again at the end of year 2, typically aged 7. Pupils are assessed at the end of key stage 1 (year 2) in reading, writing, maths and science. There were no assessments in 2020 and 2021 due to the pandemic. End of KS1 assessments will become non-statutory from the 2023/24 academic year onwards. Optional assessments will still be offered, but these statistics will not be published in 2023/24. The phonics screening check attainment section of this publication will continue to be published to the same schedule. All gaps and percentage point differences are calculated from unrounded figures.
KerkoCite.ItemAlsoKnownAs: 2129771:9ZG9I9IK 2486141:QLYYKRC6

Key stage 2 attainment, Academic year 2022/23 - ONS (2023)
This publication provides revised attainment and progress statistics for key stage 2 national curriculum assessments in England. It is an update to the provisional statistics published on 12 September 2023 and extends the Key stage 2: National headlines statistics published on 11 July 2023. Progress measures of pupils between key stage 1 and key stage 2 are included. These statistics cover attainment in assessments taken by pupils at the end of year 6, when most are age 11. It includes results for pupils in schools in England: at national level, broken down by the following pupil characteristics: gender, disadvantage, free school meal eligibility, ethnicity, special educational need status, first language and month of birth; at national level, broken down by the following school characteristics: school type, school phase, cohort size and school religious character; at regional and local authority level, broken down by pupil characteristics: gender, disadvantage, free school meal eligibility, ethnicity, special educational need status and first language; at local authority district, school location and pupil residency broken down by disadvantage, free school meal eligibility and school type. Some of these breakdowns are not discussed in the text but can be accessed via the table tool or by downloading the data files. All gaps and percentage point differences are calculated from unrounded figures.
KerkoCite.ItemAlsoKnownAs: 2129771:9MF9TFDU 2486141:JV6ENTGV

Key stage 4 performance, Academic year 2022/23 - ONS (2023)
This statistical release focuses on the GCSE results of pupils at the end of Key Stage 4 (KS4) attending state-funded schools in England. This provisional release includes pupil characteristic breakdowns such as disadvantage status, free school meal status, special educational needs status and ethnicity. In 2022/23 there was a return to pre-pandemic standards for GCSEs, AS and A levels, with protection built into the grading process to recognise the disruption that students have faced. For VTQs that are taken alongside, or instead, of GCSEs and A levels, there was also a return to pre-pandemic standards in 2022/23. More information on qualification grading approaches in 2023 and in 2022 can be found at Exam results 2023: 10 things to know about GCSE, AS and A level grades - The Ofqual blog and Vocational and technical qualifications grading in 2023   - The Ofqual blog and Ofqual’s announced approach to grading assessments in summer 2022. The KS4 performance measures reported in this release, and on the performance tables website, for the 2022/23 academic year have been affected by the following factors:   The return to pre-pandemic grading in 2022/23, with some protections.  2022/23 performance measures may include some qualification grades that were awarded in 2021/22 using a different grading approach. Results achieved between January 2020 and August 2021, by pupils included in 2022/23 measures, are not included in the calculations. The ongoing uneven impacts of the pandemic on different schools/colleges and pupils. For more information on how we calculate performance measures, and the factors affecting measures for 2022/23, please see the KS4 technical guide. Throughout this release, comparisons are made with 2022 and with 2019. The more meaningful comparison is with 2019, the last year that summer exams were taken before the pandemic, as 2023 saw a return to pre-pandemic grading, with some protections. In 2022 outcomes broadly reflected a mid-point between 2019 and 2021, to take account of the impact of the pandemic and in line with Ofqual’s approach to grading in 2022. It is expected that performance in 2023 will generally be lower than in 2022. For this reason, users need to exercise extreme caution when considering comparisons over time, as they may not reflect changes in pupil performance alone. To find out more about this, please visit our secondary accountability measures guide.
KerkoCite.ItemAlsoKnownAs: 2129771:WT3A9YSX 2486141:TCPBS2XA

Understanding how educational maths apps can enhance learning: A content analysis and qualitative comparative analysis - Outhwaite, Laura A.; Early, Erin; Herodotou, Christothea; Van Herwegen, Jo (British Journal of Educational Technology, 2023)
Abstract Educational applications (apps) are ubiquitous within children's learning environments and emerging evidence has demonstrated their efficacy. However, it remains unclear what the active ingredients (ie, mechanisms), or combination of ingredients, of successful maths apps are. The current study developed a new, open‐access, three‐step framework for assessing the educational value of maths apps, comprised of type of app, mathematical content and app design features. When applied to a selection of available maths apps previously evaluated with children in the first 3 years of school (the final sample included 23 apps), results showed that practice‐based apps were the most common app type tested ( n = 15). Basic number skills, such as number representation and relationships, were the most common area of mathematics targeted by apps ( n = 21). A follow‐up qualitative comparative analysis showed observed learning outcomes with maths apps were enhanced when apps combined the following: a scaffolded and personalised learning journey (programmatic levelling) and explanations of why answers were right or wrong (explanatory feedback), as well as praise, such as ‘Great job!’ (motivational feedback). This novel evidence stresses the significance of feedback and levelling design features that teaching practitioners and other stakeholders should consider when deciding which apps to use with young children. Directions for future research are discussed. Practitioner notes What is already known about this topic Educational apps have been shown to support maths attainment in the first 3 years of school. Several existing frameworks have attempted to assess the educational value of some of these maths apps. Emerging experimental evidence also demonstrates the benefits of specific app design features, including feedback and levelling. What this paper adds Practice‐based maths apps are the most common type of app previously evaluated with young children. These evaluated maths apps have mostly focused on basic number skills. The combination of explanatory and motivational feedback, with programmatic levelling (either dynamic or static), was a necessary condition for enhancing learning outcomes with maths apps. Implications for practice and policy The inclusion of feedback and levelling in maths apps should be considered by app developers when designing apps, and by educational practitioners and parents when deciding which apps to use with their children. Further consideration is also needed for the development of educational apps that include a broad range of maths skills.
KerkoCite.ItemAlsoKnownAs: 10.1111/bjet.13339 2129771:KTXIMESK 2486141:2DN8NJV3

Technology and Learning for Early Childhood and Primary Education - Outhwaite, Laura; Ang, Lynn; Herbert, Elisabeth; Sumner, Emma; Van Herwegen, Jo (UNESCO, 2023)
Educational software and apps offer a potential solution for the global learning crisis in maths and literacy. When designed, implemented, and integrated effectively, these programmes can offer accessible and personalised learning experiences for young children at school and at home. This paper synthesises current evidence evaluating the use of educational software and apps with young children aged 0-8 years in early childhood and primary education, including those from disadvantaged and marginalised groups across a range of low-, middle- and high-income countries. Based on this evidence synthesis, recommendations for system-wide conditions in the EdTech ecosystem to achieve optimal outcomes for all children are discussed, including potential avenues for effective pedagogy, implementation, and integration.
Num Pages: 32 Publication Title: UNESCO Global Education Monitoring Report KerkoCite.ItemAlsoKnownAs: 2129771:FE29X74M 2486141:D6EZSLE9

Approaches and Models for Teaching Digital Ethics in Information Systems Courses–A Review of the Literature - Paltiel, Minna; Cheong, Marc; Coghlan, Simon; Lederman, Reeva (Australasian Journal of Information Systems, 2023)
Publisher: Australian Computer Society

Literature Review as Research Methodology: Aid of Ai (Artificial Intelligence) - Pandya, Tamsa Pranshankar (Vidhyayana-An International Multidisciplinary Peer-Reviewed E-Journal-ISSN 2454-8596, 2023)
KerkoCite.ItemAlsoKnownAs: 5440726:FWFKQFHX
Keywords: ⛔ No DOI found

Four Surveillance Technologies Creating Challenges for Education - Pea, Roy D.; Biernacki, Paulina; Bigman, Maxwell; Boles, Kelly; Coelho, Raquel; Docherty, Victoria; Garcia, Jorge; Lin, Veronica; Nguyen, Judy; Pimentel, Daniel; Pozos, Rose; Reynante, Brandon; et al. (AI in Learning: Designing the Future, 2023)
“Ubiquitous AI”—embodied in cloud computing web services, coupled with sensors in phones and the physical world—is becoming infrastructural to cultural practices. It creates a surveillance society. We review the capabilities of four core surveillance technologies, all making headway into universities and PreK-12 schools: (1) location tracking, (2) facial identification, (3) automated speech recognition, and (4) social media mining. We pose primary issues educational research should investigate on cultural practices with these technologies. We interweave three priority themes: (1) how these technologies are shaping human development and learning; (2) current algorithmic biases and access inequities; and (3) the need for learners’ critical consciousness concerning their data privacy. We close with calls to action—research, policy and law, and practice.
Keywords: Algorithmic biases; Automated speech recognition; Facial identification; Location tracking; Privacy policy; Social media mining; Surveillance society; Ubiquitous AI

Reflections on the Contributions and Future Scenarios in AI-Based Learning - Pea, Roy D.; Lu, Yu; Niemi, Hannele (AI in Learning: Designing the Future, 2023)
This chapter reflects on the contributions of different articles of the book from various perspectives. Seven categories provide perspectives to reflections. Four of them are connected to different levels of the educational system, others opening scenarios to research on education and learning with AI, and finally the last category is devoted to ethical challenges of AI in education and learning.
Keywords: AI ethical issues; Artificial intelligence; Human learning; Lifelong learning; Machine learning

Customised E-Learning Platforms - Pitchford, Nicola (Introduction to Development Engineering: A Framework with Applications from the Field, 2023)
More than 617 million children and adolescents lack the basic reading and mathematics skills required to live healthy and productive lives. Malawi ranks particularly poorly, with an average pupil to teacher ratio of 77:1 and a 50% dropout rate among primary school children. Established in 2013, the Unlocking Talent initiative uses e-Learning technology to help overcome educational challenges. It equips touch-screen tablets with customisable software that delivers lessons through multisensory experiences (e.g. pictures, sound, video and animation). Throughout Malawi, small groups of students in public primary schools have accessed these tablets during weekly sessions on-site. This case study describes a series of evaluations of this e-Learning technology in Malawi, conducted in tandem with experiments in other countries (including the United Kingdom, Brazil, South Africa, Tanzania, Kenya and Ethiopia). Following a pilot evaluation to assess the feasibility of e-Learning in raising learning outcomes, multiple large-scale randomised control trials were conducted. Learning gains hold across multiple cohorts of children and across different countries, generating more than a 3-month advantage in basic mathematics and more than a 4-month advantage in basic reading on average. The intervention also bridges gender gaps in mathematics skills attainment in Malawi.
KerkoCite.ItemAlsoKnownAs: 10.1007/978-3-030-86065-3_11 4804264:YYP8PDJJ
Keywords: Customized e-learning platforms; Education technology; Evaluation; Final_citation; Global leaning crisis; Implementation; Literacy; Malawi; Numeracy; cited; existing

EdTech Evidence Mid-Year Report - Platform, Instructure Learn (2023)
KerkoCite.ItemAlsoKnownAs: 4804264:LC73LNMN
Keywords: Final_citation; anystyle; existing

What can the education sector do to adapt to the forthcoming impacts of climate change? - Proctor, Jamie (Global Partnership for Education, 2023)
Practitioner experience and reflections on what can be done specifically within the education sector to adapt and reduce the negative impacts of climate change on education.
KerkoCite.ItemAlsoKnownAs: 2129771:F3FN7F36 2486141:LR8CSF8H

Breaking Through Limitations: Enhanced Systematic Literature Reviews With Large Language Models - Reason, Tim; Langham, Julia; Gimblett, Andy; Malcolm, Bill; Klijn, Sven (Population, 2023)
KerkoCite.ItemAlsoKnownAs: 5440726:6HH3L69H
Keywords: ⛔ No DOI found

Breaking Through Limitations: Enhanced Systematic Literature Reviews With Large Language Models - Reason, Tim; Langham, Julia; Gimblett, Andy; Malcolm, Bill; Klijn, Sven (Population, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:PJB6DTDA 2405685:CBPEMXNV 2486141:ELIALEJV
Keywords: _Added-ailr-2024; ⛔ No DOI found

Towards Interpreting Topic Models with ChatGPT - Rijcken, Emil; Scheepers, Floortje; Zervanou, Kalliopi; Spruit, Marco; Mosteiro, Pablo; Kaymak, Uzay (The 20th World Congress of the International Fuzzy Systems Association, 2023)
Keywords: ⛔ No DOI found

AI-Supported Simulation-Based Learning: Learners’ Emotional Experiences and Self-Regulation in Challenging Situations - Ruokamo, Heli; Kangas, Marjaana; Vuojärvi, Hanna; Sun, Liping; Qvist, Pekka (AI in Learning: Designing the Future, 2023)
This study explores learners’ emotional experiences and self-regulation and how they overcome stressful situations in a simulation-based learning environment (SBLE). We also examine what kinds of situations an AI tutor could be used to facilitate simulation-based learning. We will first present the theoretical background of the research dealing with self-regulated learning, followed by positive and negative emotions and situations in simulation-based learning. The research questions of the study are as follows: (1) What kinds of emotions do learners experience in simulation-based learning situations? (2) Through what kinds of SRL operations do learners aim to overcome challenging situations during simulation-based learning? and (3) In what kinds of situations could an AI tutor be used to facilitate simulation-based learning? To collect data, a 1-week experiment was conducted in August 2021. The data was collected using online observations, video recordings, and delayed stimulated recall interviews. The interview data was analyzed through a deductive thematic analysis process. The results of the study show that learners experienced various positive and negative emotions and emotions are deeply connected with learning. We need to do more research to describe these connections in more detail. According to the results, an AI tutor can provide help for decision-making and visualizing critical points and help learners ask questions to check vital points in the system.
Keywords: AI tutor; Challenging situations; Emotion; Self-regulation; Simulation-based learning

Systematic Review using a Spiral approach with Machine Learning - Saeidmehr, Amirhossein; Steel, Piers; Samavati, Faramarz (2023)
With the accelerating growth of the academic corpus, doubling every nine years, machine learning is a promising avenue to make systematic review manageable. Though several notable advancements have already been made, the incorporation of machine learning is less than optimal, still relying on a sequential, staged process designed to accommodate a purely human approach, exemplified by PRISMA. Here, we test a spiral, alternating or oscillating approach, where full-text screening is done intermittently with title/abstract screening, which we examine in three datasets by simulation under 360 conditions comprised of different algorithmic classifiers, feature extractions, prioritization rules, data types, and information provided (e.g., title/abstract, full-text included). Overwhelmingly, the results favored a spiral processing approach with Logistic Regression, TF-IDF for vectorization, and Maximum Probability for prioritization. Results demonstrate up to a 90% improvement over traditional machine learning methodologies, especially for databases with fewer eligible articles. With these advancements, the screening component of most systematic reviews should remain functionally achievable for another one to two decades.
KerkoCite.ItemAlsoKnownAs: 10.21203/rs.3.rs-2497596/v1 2129771:3TJ8PRTF 2405685:RINZQERU 2486141:SJ799IB8
Keywords: _Added-ailr-2024

unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network - Saier, Tarek; Krause, Johan; Färber, Michael (2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2023)
Large-scale data sets on scholarly publications are the basis for a variety of bibliometric analyses and natural language processing (NLP) applications. Especially data sets derived from publication's full-text have recently gained attention. While several such data sets already exist, we see key shortcomings in terms of their domain and time coverage, citation network completeness, and representation of full-text content. To address these points, we propose a new version of the data set unarXive. We base our data processing pipeline and output format on two existing data sets, and improve on each of them. Our resulting data set comprises 1.9 $\mathrm{M}$ publications spanning multiple disciplines and 32 years. It furthermore has a more complete citation network than its predecessors and retains a richer representation of document structure as well as non-textual publication content such as mathematical notation. In addition to the data set, we provide ready-to-use training/test data for citation recommendation and IMRaD classification. All data and source code is publicly available at https://github.com/IlIDepence/unarXive.
Conference Name: 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL) ISBN: 9798350399318 Place: Santa Fe, NM, USA Publisher: IEEE

Text classification using deep learning techniques: a bibliometric analysis and future research directions - Sarin, Gaurav; Kumar, Pradeep; Mukund, M. (Benchmarking: An International Journal, 2023)
Publisher: Emerald Publishing Limited KerkoCite.ItemAlsoKnownAs: 10.1108/BIJ-07-2022-0454 2129771:FUCK8KIM 2405685:9AAKZ7EL 2486141:J6KNBKMH 2486141:KMNV7QKL
Keywords: Bibliometric analysis; Classification; Data mining; Deep learning; Text analytics; _Added-ailr-2024

How can machine learning help in understanding the impact of climate change on crop yields? - Sidhu, Balsher Singh; Mehrabi, Zia; Ramankutty, Navin; Kandlikar, Milind (Environmental Research Letters, 2023)
Publisher: IOP Publishing

Enhancing climate resilience in businesses: the role of artificial intelligence - Singh, Shivam; Goyal, Manish Kumar (Journal of Cleaner Production, 2023)
Publisher: Elsevier

Should we worry about AI's energy use? - Sparkes, Matthew (New Scientist, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:GA8CXVKQ 2129771:YA6IVXK4

Human-AI Collaboration to Identify Literature for Evidence Synthesis - Spillias, Scott; Tuohy, Paris; Andreotta, Matthew; Annand-Jones, Ruby; Boschetti, Fabio; Cvitanovic, Christopher; Duggan, Joe; Fulton, Elizabeth; Karcher, Denis; Paris, Cecile (2023)
KerkoCite.ItemAlsoKnownAs: 5440726:VZS3DH4S

Human-AI Collaboration to Identify Literature for Evidence Synthesis - Spillias, Scott; Tuohy, Paris; Andreotta, Matthew; Annand-Jones, Ruby; Boschetti, Fabio; Cvitanovic, Christopher; Duggan, Joe; Fulton, Elizabeth; Karcher, Denis; Paris, Cecile (2023)
Systematic approaches to evidence synthesis can improve the rigour, transparency, and replicability of a traditional literature review. However, these systematic approaches are time and resource intensive. We evaluate the ability of OpenAI’s ChatGPT to undertake two initial stages of evidence syntheses (searching peer-reviewed literature and screening for relevance) and develop a novel collaborative framework to leverage the best of both human and AI intelligence. Using a scoping review of community-based sheries management as a case study, we nd that with substantial prompting, the AI can provide critical insight into the construction and content of a search string. Thereafter, we evaluate ve strategies for synthesising AI output to screen articles based on prede ned inclusion criteria. We nd low omission rates (< 1%) of relevant literature by the AI are achievable, which is comparable to that of human screeners. These ndings show that generalised AI tools can assist reviewers with evidence synthesis to accelerate the implementation and improve the reliability of a review.
KerkoCite.ItemAlsoKnownAs: 10.21203/rs.3.rs-3099291/v1 2129771:2PFTLKE9 2405685:CCUCADRD 2486141:AHW2MJ6E
Keywords: _Added-ailr-2024

Assessing the potential of AI–ML in urban climate change adaptation and sustainable development - Srivastava, Aman; Maity, Rajib (Sustainability, 2023)
Publisher: MDPI

Analysis and Improvement of Classroom Teaching Based on Artificial Intelligence - Sun, Zhong; Yu, Zi Chun; Xu, Fei Yun (AI in Learning: Designing the Future, 2023)
Common classroom teaching analysis, which has focused on counting and coding the teacher-student behaviors and discourse interactions, faces many difficulties as content-free, low efficiency, and small scale in analysis. To overcome these shortcomings, and foster high-quality classroom teaching, the current study proposes a blended human and Artificial Intelligence (AI) technology for classroom teaching analysis named as TESTII. It consists of five steps identifying teaching events, sequencing the pedagogies of classroom teaching structure, analyzing teacher-student interaction, interpreting teaching meaning, and providing improvement strategies for high-quality classroom teaching.
Keywords: Artificial intelligence; Classroom teaching analysis; Teaching events; Teaching structure

Assessing and Tracking Students’ Wellbeing Through an Automated Scoring System: School Day Wellbeing Model - Tang, Xin; Upadyaya, Katja; Toyama, Hiroyuki; Kasanen, Mika; Salmela-Aro, Katariina (AI in Learning: Designing the Future, 2023)
The assessment of student wellbeing has been often static and lagged behind for the intervention/diagnostic purpose. In this chapter, we aim to introduce an automated school wellbeing scoring dynamic real-time system, School Day Wellbeing Model. With Artificial Intelligence (AI)-based item sampling methods and answers scoring and reporting systems, the School Day Wellbeing Model can collect wellbeing data at low cognitive cost, track wellbeing real time at multiple levels (e.g., individual-, class-, school-level), and give immediate feedback. The model is constructed on the basis of the School Wellbeing Model, Study Demand-Resource Model, and OECD Social-Emotional Skill Model. In the book chapter, the wellbeing assessments, including AI-based assessments, are reviewed so that the strengths of the School Day Wellbeing Model are highlighted. User experiences are collected to show the utility of the model. During the COVID-19 pandemic, the need for such a model is imperatively high as students’ wellbeing has been largely dampened. As a result, the model has been appreciated by users and has served about 55,000 students so far in the globe. The future development of the model is also discussed.
Keywords: Artificial Intelligence; Automated scoring system; Social-emotional skills; Students’ wellbeing

Large-Scale Simulation Study of Active Learning models for Systematic Reviews - Teijema, Jelle J.; de Bruin, Jonathan; Bagheri, Ayoub; van de Schoot, Rens (PsyArXiv. November, 2023)
KerkoCite.ItemAlsoKnownAs: 5440726:PMS6A7GP
Keywords: ⛔ No DOI found

Large-Scale Simulation Study of Active Learning models for Systematic Reviews - Teijema, Jelle Jasper; de Bruin, Jonathan; Bagheri, Ayoub; van de Schoot, Rens (2023)
The active learning methods for prioritising systematic reviews have undergone significant progress and innovation in recent years. This rapid development, however, has inadvertently highlighted the disparity between the rapid development of these methodologies and their rigorous evaluation, stemming from constraints in simulation size, lack of infrastructure, and the use of few datasets. We embark on a large-scale simulation study involving over 27 thousand simulations and over 156 million datapoints, designed to provide robust empirical evidence of active learning methodologies performance. We evaluate 13 combinations of different classification models and feature extraction techniques across high-quality datasets sourced from the SYNERGY dataset. We run a single simulation for each possible combination of selected classification model, feature extraction technique, dataset, and relevant document. The spectrum of performance varies considerably, from marginally better than random reading to near flawless results. Still, every single model-feature extraction combination outperforms random screening. Results are publicly available for analysis and replication. This study advocates for large-scale simulations as the gold standard for assessing active learning methods; it underscores the importance of comprehensive testing to reduce reporting bias and enhance result reliability. It also highlights the need for curating diverse datasets for systematic review literature.
Publisher: PsyArXiv KerkoCite.ItemAlsoKnownAs: 10.31234/osf.io/2w3rm 2129771:DWE4XYJU 2405685:QH5K46LQ 2486141:PSU8KBB4
Keywords: _Added-ailr-2024

Education and climate change: What retrofits could make classroom environments more conducive to learning? - Toyinbo, Oluyemi; Villavicencio, Xuzel (The Education and Development Forum (UKFIET), 2023)
To foster optimal student learning, well-being, and overall health, it is vital that school environments prioritise comfort.
KerkoCite.ItemAlsoKnownAs: 2129771:LEELGBV8 2486141:P3IXUQ6W

AI and the Next Digital Divide in Education - Trucano, M. (2023)
KerkoCite.ItemAlsoKnownAs: 4804264:MXBS2Y6J
Keywords: Final_citation; anystyle; existing

Pupil premium: overview - UK Government (GOV.UK, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:3KSB7ZT9 2486141:3W93WMW4

Technology and Innovation Report - UNCTAD (2023)
KerkoCite.ItemAlsoKnownAs: 2129771:DGTQXTJZ 2486141:G4J2R38V

Inclusive Design Toolkit - University of Cambridge (2023)
KerkoCite.ItemAlsoKnownAs: 2129771:7WQ6BY7F 5242966:ZR4Y3664

AI-based literature reviews: A topic modeling approach - Verma, Manoj Kumar; Yuvaraj, Mayank (Journal of Information and Knowledge, 2023)
KerkoCite.ItemAlsoKnownAs: 5440726:Z39CXIKI

What retrofits could make classroom environments more conducive to learning? - Villavicencio, Xuzel; Toyinbo, Oluyemi (2023)
This slide deck relates to a presentation given by OpenDevEd at The Education and Development Forum in Oxford (UKFIET 2023), as part of the sub-theme “Conflict, crisis, climate, and migration”. This presentation was part of the symposium called Climate, environment and education outcomes – Preliminary findings and practical experience from East and West Africa.
KerkoCite.ItemAlsoKnownAs: 2129771:HFX4BA8D

Perspectives and Metaphors of Learning: A Commentary on James Lester’s Narrative-Centered AI-Based Environments - Vivitsou, Marianna (AI in Learning: Designing the Future, 2023)
This commentary aims to discuss perspectives on narrative-centered learning and metaphors of AI-based learning environments. To this end, the commentary draws from James Lester’s keynote and an interview with a focus on the narrative element that underlies the use of AI in Learning. In both texts, Lester offers an account of the narrative-centered learning environments that he has been developing with his research group. One example of such environments is Crystal Island, an AI-based game for K-12 students learning science. Along with Crystal Island, more metaphors of learning emerge. Based on these, this chapter uses Paul Ricoeur’s narrative theory and metaphor theory to reflect on the role of characters and the narrative plot in relation to Lester’s visualization of the future of learning with AI-based technologies. In this process, new roles in AI-based learning are introduced. One such example is the role of drama manager. The drama manager is a novel metaphor in game-based learning. In addition, more conventional metaphors, such as the tutorial dialogue, are brought forward as well as technological metaphors. The multiplicity of metaphors have agency at the core, as connecting tissue. Agency, although not explicitly articulated in the keynote and the interview, is an all-encompassing metaphor in learning. As technological advancement shakes the boundaries of thinking about agency nowadays, new dynamic metaphors are needed in AI-based learning. Toward this direction, the commentary draws from new materialist and post-humanist thinkers to raise these issues and the need to take the narrative further.
Keywords: Agency; Crystal Island; Metaphors of learning; Narrative; Narrative-based learning

Using the Robot as a Research Assistant: Research Design Using Generative AI - Wang, Shida (NYU SPS Applied Analytics Laboratory, 2023)
KerkoCite.ItemAlsoKnownAs: 5440726:ZGE7IVEX

Supporting Intra-Sectoral Collaboration in the Primary Education Sector in Northern Nigeria - Watts, Michael; Akogun, Oladele; Allsop, Terry; Waziri, Nafisa (Africa Education Review, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:MAK4WYR2 2129771:N2XZXYHV 2129771:YLANDWDQ 2486141:5NGJW7SK
Keywords: ⚠️ Invalid DOI

Affordance Theory - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
The theory of affordances has been widely applied in studies of educational technology. In particular, it has been suggested that different education technologies ‘afford’ different kinds of teaching and learning. In this chapter, we look back to the origin of affordance theory in the work of perceptual psychologist James Gibson. We then offer a brief history of how affordance has been adapted and applied to educational technology. It has been suggested that the concept of affordances is too loose to be useful. This is perhaps because the affordances for action and for thought that any technology has not only depend on the technology, but also on how the user responds to the technology. We discuss the need to design the cultures and norms that shape user responses in addition to designing the technology itself. We offer an example to suggest that affordance theory can be particularly useful for educational design-based research that moves iteratively between the perspective of users and the perspective of the technology.
Num Pages: 18

An Alternative History of Educational Technology - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
In most histories of educational technology, technology is referred to as a way of supporting education. In this chapter, we explore what happens when this framing of the relationship is reversed and we think about education as a way of supporting technology. We begin with the story of some of the first schools 4000 years ago in Ancient Sumeria. These, we claim, were created to support what was then a relatively new information and communications technology, cuneiform literacy. We argue that the shift from education based on talking and listening to education based on reading and writing involved a change in how knowledge is thought about and how education is understood. After the spread of education based on literacy, and later, on print literacy (which includes numeracy), a new kind of knowledge became possible: knowledge as an indirect representation of a reality rather than knowledge as a direct relationship with reality. This shift from oracy to literacy involved losses as well as gains. We end with a case study suggesting that digitally mediated education might be able to include more of the relationship and connectedness that is of value in oral education systems whilst continuing to support the greater reach and power of print literacy.
Num Pages: 21

Heidegger's Hammer - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
Heidegger’s discussion of the way that tools and technology enter into experience has had a profound impact on the philosophy of technology. In this chapter, we look at the implications for design that follow from his account. We interrogate Heidegger’s criticism of modern technology, which he argues ‘enframes’ us and cuts us off from a more authentic and nourishing relationship with ‘Being’. We find that while Heidegger described modern technology as a danger, he also recognised it as an opportunity for a different kind of human future. Heidegger’s analysis of how technologies can shape our world and our understanding of it is relevant to understanding not only how we use everyday craft tools like hammers, but also to understanding the educational potential of networked digital technologies like global social media and Generative AI.
Num Pages: 14

Introduction: Why we need a theory of educational technology - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
Thinking about how we should use technology in education is thinking about how we want to shape the future of education and, indeed, how we want to shape future humans. Theory is needed to illuminate the issues at stake, but there is only a very limited amount of existing theory specific to educational technology. Moreover, when theory is referred to this is almost invariably education theory without any influence from the theory of technology. This first chapter explains why we think a new ‘dialogic’ theory of educational technology is required and introduces the main themes of the book. We argue that the ‘voice’ of technology should feature prominently in any theory of educational technology. Two case studies are offered to illustrate that the ways in which we frame educational technology makes a difference to how we design for education with technology. The chapter ends with an outline of the argument of the whole book.
Num Pages: 19

Researching Educational Technology - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
In this chapter, we explore the role of theory in educational technology research and ask what the role of theory should be. We begin with a brief history of education and educational technology research. This history suggests these fields have been dominated by ideas about research that are rooted in the affordances of print technology, in a way that does not fit the needs and affordances of digital technology. We also establish how there has been an unproductive alternation between what we call ‘inside’ views, how things feel to participants, and what we call ‘outside’ views, such as statistical patterns in data. It appears that new digital technology not only makes new ways of doing educational research possible, but it also changes how we should think about the purpose and nature of educational research. We end by proposing relatively new methodologies and paradigms influenced by dialogic theory that respond to these historical challenges and are better suited to researching educational technology.
Num Pages: 21

Steps Towards a 'Dialogic' Grammar - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
In this chapter we look at three ‘grammars’ of educational technology, or ways of using and thinking about education technology, that are informed by the advent of the internet: online mediated communities of practice, educational online multi-user role-play games, and connectivism. Each of these grammars has different strengths and weaknesses. Our critique leads us towards a new way of understanding the role of educational technology which we call a ‘dialogic’ grammar or a dialogic foundation for the design of educational technology.
Num Pages: 14

Technology and Expanding Dialogic Space - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
This chapter explores the concept of dialogic space in education and its relationship with technology. We begin by tracing the history of communications technology and its intersection with education, leading up to the emergence of AI chatbots as dialogue partners, arguing that technology has an important role in fostering dialogic spaces. We explore the modern concept of dialogic space, which is rooted in educational research and emphasises the importance of creating a space for open and exploratory dialogue. Specifically, we revisit Martin Buber’s seminal notion of ‘the space between’ as a realm of possibilities within interpersonal relationships. We also highlight the limitations of this theory in not accounting for technology’s materiality in shaping dialogic spaces. Integrating Buber’s ‘space between’ with recent dialogic space theory, we demonstrate how combining pedagogical and technological design can open, widen and deepen dialogic spaces. Two case studies exemplify how designing technology in tandem with pedagogy can project students into an expanded dialogic space. We suggest that expanding dialogic space may be the essence of education and perhaps the most important function of educational technology.
Num Pages: 25

Technology and Expanding Dialogic Time - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
This chapter explores the concept of ‘dialogic time’ and its potential to offer insights into the design and use of technology in education. Education, we argue, is centrally concerned with drawing students into participation in the longer-term dialogues of culture such as science and the arts. We suggest that the design of educational technology and associated pedagogy can bring different temporal contexts into a dialogic relation. Considering dialogic time as well as dialogic space can help educators design for more effective and expansive learning experiences.
Num Pages: 19

The 'Grammar' of Educational Technology - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
Designing educational technology implies ways of thinking about the role of technology in the educational process. This chapter looks at some of the most influential ways in which the role of digital technology in education has been imagined: technology as a ‘teaching machine’, as a ‘tool for thinking’ and as a ‘learning environment’.
Num Pages: 19

The 'Meaning' of Technology - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
This chapter explores the relationship between technology and human meaning making. We begin by challenging the common assumption that technology is a threat to human meaning and move on to explore why collaborations with technology can lead to a greater sense of meaning for learners. We argue that education for meaning requires the design of educational technology that helps learners to more deeply participate in systems that unite the biological, social and technological.
Num Pages: 24

Towards a Dialogic Foundation for the Design of Educational Technology - Wegerif, Rupert; Major, Louis (The Theory of Educational Technology, 2023)
This chapter summarises our investigation into the theory of education technology and outlines a dialogic theory which we hope will prove useful as a foundation for educational technology design. To better understand education and how to improve it, we need to take technology seriously and listen to its ‘voice’. Our proposed dialogic theory focuses on how to design educational technology to support the opening, widening and deepening of dialogic spaces. It is about designing pedagogy with technology to facilitate the dynamic inter-weaving of educational dialogues at different spatio-temporal scales, linking short-term face-to-face dialogues to longer-term and more global dialogues.
Num Pages: 10

Ethical Guidelines for Artificial Intelligence-Based Learning: A Transnational Study Between China and Finland - Wei, Ge; Niemi, Hannele (AI in Learning: Designing the Future, 2023)
Artificial intelligence (AI) plays an increasingly prevalent role in the global education system. However, there is a lack of transparency about how AI technologies work alongside certain ethical guidelines. Achieving the global benefits of AI-driven learning and education requires international dialogue on the commonplaces of ethical considerations. This paper, taking China and Finland as two contextual cases, analyzes how AI-related policies at the national level have focused on educational themes and established aims for improving the quality of learning and education. As a result, four themes for AI ethics have emerged: (1) inclusion and personalization, (2) justice and safety, (3) transparency and responsibility, and (4) autonomy and sustainability. Although both China and Finland recognize the importance of AI ethics, the differences are manifested in their policy approaches, properties, and strategies due to sociocultural variation. This chapter emphasizes the need for international and transnational dialogue from ethical perspectives to foster our reciprocal understanding of AI and the human-centered stance on education in the digitized age.
Keywords: Artificial intelligence (AI); Education; Ethical guidelines; Learning; Policy analysis

Artificial Intelligence Innovations for Multimodal Learning, Interfaces, and Analytics - Worsley, Marcelo (AI in Learning: Designing the Future, 2023)
The twenty-first century has brought with it a growing variety of authentic and engaging learning environments. While significant portions of human learning still take place in traditional classrooms, researchers and educators have innovated several learning experiences that are embodied, project-based, inquiry-driven, collaborative, and open-ended. Furthermore, there has been greater acknowledgement of the varying timescales and contexts where meaningful learning takes place, as well as greater attention to previously underappreciated competencies like creativity, self-regulation, and collaboration. This expansion in the types, contexts, and timescales of human learning necessitate novel analytic approaches. This chapter will discuss how artificial intelligence-based tools and technologies can help researchers and practitioners navigate and enact these novel approaches to learning, while also providing a meaningful lens for student reflection and inquiry. Consequently, this chapter includes discussions of (1) technologies that provide learners with a broader set of modalities to showcase their knowledge, (2) tools that offer insights within groups of students using audio/video information, and (3) analytic techniques and interfaces for helping researchers collect and analyze different types of multimodal data across contexts. The chapter will also discuss some of the ethics surrounding these types of data and analytic approaches.
Keywords: Ethics; Informal learning; Multimodal data

Deep Learning in Automatic Math Word Problem Solvers - Zhang, Dongxiang (AI in Learning: Designing the Future, 2023)
The design of an automatic solver for mathematical word problems (MWPs) dates back to the early 1960s and regained booming attention in recent years, owing to revolutionary advances in deep learning. Its objective is to parse the human-readable word problems into machine-understandable logical expressions. The problem is challenging due to the existence of a substantial semantic gap. To a certain extent, MWPs have been recognized as good test beds to evaluate the intelligence level of agents in terms of natural language understanding and automatic reasoning. The successful solving of MWPs can benefit online tutoring and constitute a milestone toward general AI. In this chapter, we present a general introduction to the technical evolution trend for MWP solvers in recent decades and pay particular attention to recent advancement with deep learning models. We also report their performances on public benchmark datasets, which can update readers’ understandings of the latest status of automatic math problem solvers.
Keywords: Automatic reasoning; Deep learning; Math word problems; Natural language processing

School-to-school mobility patterns and retention rates of payroll teachers in Sierra Leone - Espinoza-Revollo, Patricia; Ali, Yusuf; Garrod, Oliver; Atherton, Paul; Beoku-Betts, Iman; Haßler, Björn (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7421516 ZenodoArchiveConcept: 7421515 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7421516 10.53832/edtechhub.0143 2129771:4HUI65EI 2405685:DE7XUSMJ
Keywords: _C:Sierra Leone SLE; _r:AddedByZotZen

Technology and School Mapping - Vijil, Alejandra; Godwin, Katie; Mackintosh, Alasdair; Ramirez, Ana; Mcburnie, Chris; Haßler, Björn (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 6974072 ZenodoArchiveConcept: 6974071 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.6974072 2405685:IJ2GD927
Keywords: _r:AddedByZotZen

Climate impacts of the metaverse - Stoll, Christian; Gallersdörfer, Ulrich; Klaaßen, Lena (Joule, 2022)
Christian Stoll is a research affiliate at the Center for Energy Markets of the Technical University of Munich and at the Center for Energy and Environmental Policy Research of the Massachusetts Institute of Technology. He co-founded CCRI and works as a management consultant. His research focuses on the intersection of sustainability and cryptocurrencies. Ulrich Gallersdörfer is a research associate at the Department of Informatics of the Technical University of Munich. He is a co-founder and CEO of CCRI, a company providing intelligence and data for cryptocurrencies, blockchain, and related technologies. His research focuses on blockchain technology and adjacent fields. Lena Klaaßen is a PhD student at the Climate Finance and Policy group at ETH Zurich. She is also a co-founder of CCRI. Her research focuses on the role of the financial sector in acelerating investment in low-carbon energy technologies as well as the environmental impact of companies and technologies.
KerkoCite.ItemAlsoKnownAs: 2129771:IYGCXSV7 2129771:P8PSQK3D 2129771:PW39QGGI

Costed plan tool - Teixeira, Beatriz (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

Instructions for costed plan tool - Teixeira, Beatriz (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

Model Education Plan - Vijil-Morin, Alejandra; Villavicencio, Xuzel; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

Monitoring and Evaluation Framework - Vijil-Morin, Alejandra; Villavicencio, Xuzel; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

Antigua and Barbuda: Safe Education Sector Plan - Vijil-Morin, Alejandra; Villavicencio, Xuzel; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

Barbados: Safe Education Sector Plan - Vijil-Morin, Alejandra; Villavicencio, Xuzel; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

Dominica: Safe Education Sector Plan - Vijil-Morin, Alejandra; Villavicencio, Xuzel; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

Contingency plan - Villavicencio, Xuzel; Vijil-Morin, Alejandra (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

St. Kitts and Nevis: Safe Education Sector Plan - Villavicencio, Xuzel; Vijil-Morin, Alejandra; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

St. Lucia: Safe Education Sector Plan - Villavicencio, Xuzel; Vijil-Morin, Alejandra; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

St. Vincent and the Grenadines: Safe Education Sector Plan - Villavicencio, Xuzel; Vijil-Morin, Alejandra; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/

Going digital: How learning and employment records shape access to quality education and jobs - Milman, Allyson Parco, Rohan Carter-Rau, Jessa Henderson, Kazumi Homma, Ani Meliksetyan, and Natalie, Annelies Goger (Brookings, 2022)
New research draws from three case studies on implementing and governing new digital education assets to help create more equitable learning and employment pathways.
KerkoCite.ItemAlsoKnownAs: 4804264:LIBGEPIZ
Keywords: Final_citation; existing

How-To Note: Addressing the Principles for Digital Development in Project and Activity Design | Document | USAID (U.S. Agency for International Development, 2022)
The How-to Note: Addressing the Principles for Digital Development in Project and Activity Design is a brief, user-friendly guide that helps program design teams understand and prioritize the Digital Principles most relevant to their work.

Study on the Use of Ict in Education and Remote Learning During Crises and the Required Investment for Digital Transformation for African Countries (Association for the Development of Education in Africa, 2022)

The-State-of-Mobile-Internet-Connectivity-Report-2022.pdf - GSMA (2022)
KerkoCite.ItemAlsoKnownAs: 2129771:92JEX7VN

Mapeo y análisis de programas EdTech en América Latina y el Caribe - Myers, Christina; Wyss, Natalie; Villavicencio Peralta, Xuzel; Coflan, Caitlin (EdTech Hub, 2022)
Este documento se elaboró ​​en respuesta a una solicitud de la Oficina Regional de UNICEF para América Latina y el Caribe al Servicio de Asistencia de EdTech Hub en octubre de 2021. El equipo de UNICEF solicitó una lista seleccionada de programas de EdTech en la región de América Latina y el Caribe (ALC) y un análisis de un conjunto de programas preseleccionados con la intención de explorar su potencial para la implementación y el impacto a escala. Este informe no pretende cubrir todos los programas EdTech innovadores en la región de ALC. Más bien, presenta una lista de programas EdTech prometedores y analiza su diseño e implementación con el fin de explorar su relevancia y potencial para lograr un impacto a gran escala. An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7306712 ZenodoArchiveConcept: 7306711 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7306712 10.53832/edtechhub.0132 2405685:ACLTCQV2 2405685:XIIQ4FSE
Keywords: _r:AddedByZotZen

Targeted and Multidimensional Approaches to Overcome Inequalities in Secondary Education for Adolescent Girls: The Impact of the Campaign for Female Education (CAMFED) Program in Tanzania and Zimbabwe - Rose, Pauline; Sabates, Ricardo; Delprato, Marcos; Alcott, Ben (Comparative Education Review, 2022)
In many low- and lower-middle-income countries, key barriers to girls’ secondary school access and learning include poverty, school inaccessibility, poor school quality, and lack of gender-sensitive practices in the classroom. The nongovernmental organization, Campaign for Female Education (CAMFED), provides a range of financial, pedagogical, and community-supported interventions aimed at removing these barriers in government secondary schools in Tanzania and Zimbabwe. Using longitudinal data, we adopt quasi-experimental methods to examine the impact of the CAMFED program on reducing secondary school dropout and improving test scores in English and mathematics. Results suggest that the CAMFED program has a significant effect on both improving access and learning for the most disadvantaged adolescent girls. However, low-performing learners remain particularly at risk of dropout, necessitating further consideration and support for these girls.
Publisher: The University of Chicago Press KerkoCite.ItemAlsoKnownAs: 10.1086/721849 2129771:WJ5MNQCB

Parametric Climate Insurance Using Blockchain Technology: A Feasibility Study on Technical and Economic Viability in Fiji - Secretariat, Commonwealth (Commonwealth iLibrary, 2022)
Blockchain technology has the potential to drive efficiencies throughout the insurance value chain. This study aimed to investigate the likely customer demand for, technical feasibility and economic viability of blockchain-based climate catastrophe insurance (BBCCI) in Fiji. The report analysed BBCCI’s application in the context of Fiji by undertaking a technical feasibility assessment, which was followed by an economic feasibility assessment. Based on these assessments, a roadmap for the implementation of BBCCI in Fiji is recommended.

Early Childhood Care and Education (ECCE) Toolkit: Long form version - Secretariat, Commonwealth (Commonwealth iLibrary, 2022)
High-quality and accessible Early Childhood Care and Education (ECCE) lays the foundation for healthy and well-functioning societies. Effective ECCE systems equip young children with the means to develop to their fullest potential during their formative years, in a safe and inspiring environment, nurtured by well trained professional teachers and carers. The Commonwealth’s ECCE Toolkit has been designed as a resource for Ministers of Education and officials to increase access to quality ECCE services, for ages 0 to 8 years, using a multi-sectoral approach. This toolkit outlines five features to support this approach, covering topics including conducting situational ECCE sector analyses, planning and implementing quality services,methods to expand access, and monitoring and evaluating ECCE systems. In addition, it aims to assist governments in ensuring these services are responsive to the rights, needs, and capabilities of children, their families and their communities.

Sierra Leone TCPD Sandbox Report (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7217149 ZenodoArchiveConcept: 7217148 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7217149 2129771:3KQCZEP4 2405685:9NR4RZ98
Keywords: _C:Sierra Leone SLE; _r:AddedByZotZen

Improving Results In Secondary Education (IRISE) - Open Development & Education (2022)
The IRISE project aims is to assist the Government of Liberia to improve the senior secondary education through “innovative approaches”.

A Commonwealth Guide to Ocean Climate Finance: A Guidance Document for Policy-Makers and Ocean Advocates - Secretariat, Commonwealth (Commonwealth iLibrary, 2022)
Drawing from a wide range of resources on ocean climate finance, this guide is intended to support practitioners, policy-makers and ocean advocates to understand the ‘seascape’ of ocean climate finance, and empower them to design and develop more successful ocean climate finance applications. It introduces the special characteristics of ocean-based mitigation and adaptation projects, explains the diffferent sources and types of finance available, and equips readers with a practical understanding of the priorities of different funding groups from both the public and private sectors. The global ocean is a critically important component of the Earth’s biosphere and climate system, but it faces tremendous threats from the impacts of climate change, including warming, acidification, pollution and development. While the global landscape of climate finance is growing quickly, funding for ocean-based climate mitigation and adaptation projects remains disproportionately small. In this context, the guide provides a clear and practical guide for project design and development, including best practices for securing finance and a wealth of tools and resources for those seeking funding for ocean-based initiatives. These include decision trees to identify the best funding match for your project; checklists for finance applications; and perhaps most importantly, a long-term, strategic approach to project development that is focused on building communities of practice and partnerships between governments, the private sector, public institutions, civil society organisations and communities. It also includes summaries of funding sources and investment models, as well as case studies and examples of best practice. The guide encourages project proponents to pursue long-term planning for crosscutting projects that deliver multiple integrated goals, both environmental and social. Recognising and addressing the unique features and opportunities of ocean-based projects, and the barriers to them, can contribute to realistic and impactful project design. Furthermore, proactively building partnerships with the private sector allows project proponents to access the largest source of finance in the global economy as well as its associated skills and resources.

Children's Privacy: An Evaluation of EdTech Privacy Policies - West, Tobi (2022)
Due to social distancing requirements at the onset of the pandemic many schools suddenly transitioned to online learning platforms. Additionally, minors create a significant amount of digital assets, often without regard for privacy or future use. Without ill intent, adults may encourage children to create digital assets containing private information, potentially leading to future embarrassment. During the child's younger years, they have the autonomy to create digital assets, yet they do not have the legal right to determine the use or deletion of those assets. Children's Online Privacy Protection Act (COPPA) is meant to protect children's privacy and as early adopters of new education technology, eager teachers are deciding which tools to use that may circumvent their school or district's approval processes. As features of their products, Education technology (EdTech) companies may share the data collected from children with third-party service providers to perform data analysis. Those service providers may not share the same compliance level in their privacy policy, putting the privacy and security of consumer data at further risk. This study reviews the privacy policies of three EdTech tools for COPPA compliance based on the Federal Trade Commission's tips for consumers. The report includes information about the privacy implications of third-party data processing, the legal consequences of privacy violations after the collection of minors' digital assets, and an explanation of the privacy policy evaluation reports of EdTech tools provided by Common Sense Media with suggestions for parents, teachers, and school administrators.
KerkoCite.ItemAlsoKnownAs: 4804264:BUDB5BCL 4804264:KWUDC3NI
Keywords: Final_citation; anystyle; existing

Digital tools for real-time data collection in education - Gustafsson-Wright, Emily; Osborne, Sarah; Aggarwal, Muskan (Brookings, 2022)
Real-time performance data in education enable critically needed tracking of program activities and instructors' and learners' progress to better inform adaptations along the way. In this report, we provide an overview of some of the key considerations related to real-time data collection in education, with a particular focus on the digital tools that enable their collection. Importantly, we have developed a typology of tools and selection criteria to support policymakers, practitioners, and researchers around the globe in either developing new tools or selecting from the landscape of existing ones. Our aim is to help initiate dialogue around the use of real-time data for adaptive management in education and contribute to data-informed decisions toward ensuring that all children have access to quality teaching and learning experiences.
Publisher: Brookings Institution KerkoCite.ItemAlsoKnownAs: 4804264:299DX848 4804264:3I6E9KNG 4804264:TNTGX3XG 4804264:X2VTVLYY
Keywords: Final_citation; existing; ⛔ No DOI found

No teacher is an Island - Open Development & Education - Lurvink, Anne-Fleur; Bokamba, Tania Elena Megogo; Mason, Miriam; Godwin, Katie; Godwin, Tania Elena Megogo Bokamba, Miriam Mason and Katie Godwin, Anne-Fleur Lurvink, Tania Elena Megogo Bokamba, Miriam Mason and Katie, Anne-Fleur Lurvink (2022)
When we step into the head-teacher’s office in one of our project schools, Foday, the facilitator comes in and greets us. He asks us to be patient while they sort out lunch for the children and get the teachers together. We sit back and relax, and watch the hundreds of learners receive their rice

Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review - Ciecierski-Holmes, Tadeusz; Singh, Ritvij; Axt, Miriam; Brenner, Stephan; Barteit, Sandra (npj Digital Medicine, 2022)
In low- and middle-income countries (LMICs), AI has been promoted as a potential means of strengthening healthcare systems by a growing number of publications. We aimed to evaluate the scope and nature of AI technologies in the specific context of LMICs. In this systematic scoping review, we used a broad variety of AI and healthcare search terms. Our literature search included records published between 1st January 2009 and 30th September 2021 from the Scopus, EMBASE, MEDLINE, Global Health and APA PsycInfo databases, and grey literature from a Google Scholar search. We included studies that reported a quantitative and/or qualitative evaluation of a real-world application of AI in an LMIC health context. A total of 10 references evaluating the application of AI in an LMIC were included. Applications varied widely, including: clinical decision support systems, treatment planning and triage assistants and health chatbots. Only half of the papers reported which algorithms and datasets were used in order to train the AI. A number of challenges of using AI tools were reported, including issues with reliability, mixed impacts on workflows, poor user friendliness and lack of adeptness with local contexts. Many barriers exists that prevent the successful development and adoption of well-performing, context-specific AI tools, such as limited data availability, trust and evidence of cost-effectiveness in LMICs. Additional evaluations of the use of AI in healthcare in LMICs are needed in order to identify their effectiveness and reliability in real-world settings and to generate understanding for best practices for future implementations.
Number: 1 Publisher: Nature Publishing Group KerkoCite.ItemAlsoKnownAs: 10.1038/s41746-022-00700-y 2129771:K9UKSSZQ 2405685:MMYGXG48 2486141:99IMTN2W
Keywords: Health policy; Translational research

Behaviour change key principles for EdTech | MASTER framework - Rahman, Asad; Carter, Alice; Wambûi Kuria, Catherine; Mbugua, Ciku; Simpson, Lea; Kably, Nathan (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
KerkoCite.ItemAlsoKnownAs: 10.53832/edtechhub.0129 2129771:ZWXUZE55 4426965:IMPZ2WKI 4426965:Q3PT9KN5

Behaviour change key principles for EdTech | MASTER framework - Rahman, Asad; Carter, Alice; WambûiKuria, Catherine; Mbugua, Ciku; Simpson, Lea; Kably, Nathan (EdTech Hub, 2022)
An EdTech Hub sandbox fast-tracks promising EdTech interventions by providing funding, tools, and access to evidence. It provides a space for partners to test and grow ideas in conditions of uncertainty. Since 2020, EdTech Hub has worked with partners in eight countries, to test and grow EdTech based on our sandbox methodology. When testing and growing EdTech, this tool aims to help you get started with ways to design for innovation behaviours or mindsets and make them stick. Keywords: behavioural change; behavioural design; behavioural innovation; EdTech; innovation; sandbox; intervention design An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7245959 ZenodoArchiveConcept: 7245958 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7245959 10.53832/edtechhub.0129 2129771:AJQ8S2PV 2405685:BT283J6U
Keywords: _r:AddedByZotZen

12. Profiling - ICO (UK) (2022)
Publisher: ICO KerkoCite.ItemAlsoKnownAs: 4804264:AY7FYV6R
Keywords: Final_citation; existing

A Theory of Change for Parents and Caregivers Towards a Technology-Enhanced Education System in Bangladesh - Clark-Wilson, Alison; Bashir, Amreen; Ahmed, Shakil; Mazari, Haani; Kaye, Tom; Radford, Kate; Otieno, Jennifer (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
KerkoCite.ItemAlsoKnownAs: 10.53832/edtechhub.0126 2129771:PQ3SHGIX 4426965:L8Z8PRYX

Developing a national EdTech strategy - Coflan, Caitlin; Wyss, Natalie; Thinley, Sangay; Roland, Mark (EdTech Hub, 2022)
KerkoCite.ItemAlsoKnownAs: 4804264:EZNU3F9Y
Keywords: Final_citation; cited; existing

School Leaders’ Preferences on School Location in Sierra Leone: An individual and school-level study - Espinoza-Revollo, Patricia; Ramirez, Ana; Atherton, Paul; Mackintosh, Alasdair (EdTech Hub, 2022)
Attracting qualified teachers to remote areas is a challenge in Sierra Leone. The pupil-to-qualified-teacher ratio in rural areas is 76:1, rising to 83:1 for schools located more than 15 km away from urban centres — well above the national target of 40:1. As equitable teacher deployment is crucial to ensure high-quality education, the Teaching Service Commission (TSC) aims to increase the deployment of qualified teachers to the most remote areas of the country. This paper describes a quantitative survey of school leaders’ perceptions of what shapes school location preferences and what factors need to be in place (i.e., incentives) to address the imbalanced distribution of qualified teachers in the country. We used data from a text message survey sent to school leaders around the country. This paper accompanies a qualitative inquiry on the same topic: What Matters Most for Teacher Deployment? A case study on teacher school choice preferences in Sierra Leone. Together with the qualitative study, our findings aim to address a gap in empirical evidence on teacher school preferences in Sierra Leone and contribute to a growing literature on teachers’ preferences in low- and middle-income countries. An output of the EdTech Hub, https://edtechhub.org
KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.6958056 10.53832/edtechhub.0106 2129771:BNM5JIWY 2405685:MFH269TU
Keywords: _C:Sierra Leone SLE; _r:AddedByZotZen

Serious Concerns About Racial Disparity Among Girls ‘Kicked Out’ of School - Agenda Alliance (Agenda Alliance, 2022)

Improving Enrollment and Learning Through Videos and Mobiles: Experimental Evidence from Northern Nigeria - Orozco-Olvera, Victor; Rascon-Ramirez, Ericka G. (2022)
School enrollment and learning outcomes often lag far behind in settings where traditional social norms prevail. We present the main findings of a cluster randomized control trial that tested two components of a five-day intervention targeting 6-9-year-old children and their parents in northern Nigeria. These components consisted of community video screenings to reshape parental aspirations and attitudes towards education, and mobile literacy apps. After 12 months, community screenings decreased out-of-school children by 42 percent though did not improve learning outcomes. In half of the treatment communities, we provided an add − on where a third of attending households received a smartphone pre-loaded with gamified and digital library apps. This combined intervention increased literacy and numeracy skills by 0.46 and 0.63σ respectively. Learning impacts on boys and girls were similar in magnitude. The combined intervention had spillovers on non-targeted older children, where we observe an increase in literacy and numeracy skills of 0.34 and 0.47σ, and on adolescents a decrease in parenthood (13%) and early entry into the labor market (14%). Finally, using a standarized metric for reporting gains from education interventions, our results suggest that combining aspirational videos with engaging apps is a highly effective and cost-effective tool, a relevant finding for home-learning interventions targeting rural, low-literate communities that are governed by traditional social norms, where the evidence base remains scarce.
KerkoCite.ItemAlsoKnownAs: 10.2139/ssrn.4221220 4804264:933U56Q9
Keywords: Final_citation; aspirations; cited; disruptive technologies; early marriage; early parenthood; existing; learning; school enrollment; self-efficacy

Cost-Effective EdTech Paper 1: A position piece on how the sector can make progress - Mitchell, Joel; D'Rozario, Jonny (EdTech Hub, 2022)
KerkoCite.ItemAlsoKnownAs: 4804264:MHVDI7G5
Keywords: Final_citation; cited; existing

Wearables for Measuring Health Effects of Climate Change–Induced Weather Extremes: Scoping Review - Koch, Mara; Matzke, Ina; Huhn, Sophie; Gunga, Hanns‐Christian; Maggioni, Martina Anna; Munga, Stephen; Obor, David; Sié, Ali; Boudo, Valentin; Bunker, Aditi; Dambach, Peter; Bärnighausen, Till; et al. (Jmir mhealth and uhealth, 2022)
Although climate change is one of the biggest global health threats, individual-level and short-term data on direct exposure and health impacts are still scarce. Wearable electronic devices (wearables) present a potential solution to this research gap. Wearables have become widely accepted in various areas of health research for ecological momentary assessment, and some studies have used wearables in the field of climate change and health. However, these studies vary in study design, demographics, and outcome variables, and existing research has not been mapped.In this review, we aimed to map existing research on wearables used to detect direct health impacts and individual exposure during climate change-induced weather extremes, such as heat waves or wildfires.We conducted a scoping review according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) framework and systematically searched 6 databases (PubMed [MEDLINE], IEEE Xplore, CINAHL [EBSCOhost], WoS, Scopus, Ovid [MEDLINE], and Google Scholar). The search yielded 1871 results. Abstracts and full texts were screened by 2 reviewers (MK and IM) independently using the inclusion and exclusion criteria. The inclusion criteria comprised studies published since 2010 that used off-the-shelf wearables that were neither invasive nor obtrusive to the user in the setting of climate change-related weather extremes. Data were charted using a structured form, and the study outcomes were narratively synthesized.The review included 55,284 study participants using wearables in 53 studies. Most studies were conducted in upper-middle-income and high-income countries (50/53, 94%) in urban environments (25/53, 47%) or in a climatic chamber (19/53, 36%) and assessed the health effects of heat exposure (52/53, 98%). The majority reported adverse health effects of heat exposure on sleep, physical activity, and heart rate. The remaining studies assessed occupational heat stress or compared individual- and area-level heat exposure. In total, 26% (14/53) of studies determined that all examined wearables were valid and reliable for measuring health parameters during heat exposure when compared with standard methods.Wearables have been used successfully in large-scale research to measure the health implications of climate change-related weather extremes. More research is needed in low-income countries and vulnerable populations with pre-existing conditions. In addition, further research could focus on the health impacts of other climate change-related conditions and the effectiveness of adaptation measures at the individual level to such weather extremes.
openalex: W4288048593 KerkoCite.ItemAlsoKnownAs: 10.2196/39532 2129771:ZIEXQMB8 5072953:LNAJVB42
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Project: Extending design thinking with emerging digital technologies (Exten.D.T.2) (Lnu.se, 2022)
The core ideas of the project rest on the assumption that design thinking combined with emerging technologies such as artificial intelligence, augmented reality, and educational robotics provide new and innovative ways to address the challenges and opportunities for learning and education in the age of digital transformations – from current to future practices.
KerkoCite.ItemAlsoKnownAs: 2129771:IFRBXIC4

Educational attainment gap: Regional disparities - Winchester, Nicole (2022)
Following the release of this year’s GCSE and A-level results, some commentators have raised concerns that the educational attainment gap between the north and south of England has widened. This issue is the focus of an upcoming question for short debate in the House of Lords. In preparation for the debate, this briefing looks at recent commentary on the issue and provides an overview of this year’s results.
Keywords: ⛔ No DOI found

The effects of language preference and home resources on foundational literacy retention during school holiday closures in Ghana: Lessons from the Complementary Basic Education Programme - Akyeampong, Kwame; Carter, Emma; Rose, Pauline; Ryan, Jennifer; Sabates, Ricardo; Stern, Jonathan M. B. (PROSPECTS, 2022)
This article assesses the extent to which children’s language preference and their home environment matter for literacy retention. Using data from the Complementary Basic Education (CBE) program in Ghana, the authors found that large numbers of disadvantaged students reverted to not even being able to read a single word following school closures over a four-month holiday period. Widening literacy gaps were found for girls who reported they did not receive instruction in a language that they understood or did not have the resources, support, or activities at home to enable them to continue to learn while schools were closed. For boys, widening literacy gaps were only influenced by resources, support, or activities at home, but not by language preferences. The article findings suggest that schools and teachers must pay closer attention to language preference, particularly for girls, in order to ensure that language of instruction is not a barrier to literacy retention. The article also provides further evidence to support the growing claims that home supports are essential for reducing inequities in learning outcomes during school closures.
KerkoCite.ItemAlsoKnownAs: 10.1007/s11125-021-09590-6 2129771:A8F4JM2H
Keywords: Covid-19 school closure; Equity; Ghana; Learning; Literacy; Mother-tongue education

How Big Are Effect Sizes in International Education Studies? - Evans, David K.; Yuan, Fei (Educational Evaluation and Policy Analysis, 2022)
A growing literature measures the impact of education interventions in low- and middle-income countries on both access and learning outcomes. But how should one contextualize the size of impacts? This article provides the distribution of standardized effect sizes on learning and access from 234 studies in low- and middle-income countries. We identify a median effect size of 0.10 standard deviations on learning and 0.07 standard deviations on access among randomized controlled trials. Effect sizes are similar for quasi-experimental studies. Effects are larger and demonstrate higher variance for small-scale studies than for large-scale studies. The distribution of existing effects can help researchers and policymakers to situate new findings within current knowledge and design new studies with sufficient statistical power to identify effects.
Publisher: American Educational Research Association KerkoCite.ItemAlsoKnownAs: 10.3102/01623737221079646 4804264:JU9GBCXN
Keywords: Final_citation; cited; existing

How Big Are Effect Sizes in International Education Studies? - Evans, David K.; Yuan, Fei (Educational Evaluation and Policy Analysis, 2022)
A growing literature measures the impact of education interventions in low- and middle-income countries on both access and learning outcomes. But how should one contextualize the size of impacts? This article provides the distribution of standardized effect sizes on learning and access from 234 studies in low- and middle-income countries. We identify a median effect size of 0.10 standard deviations on learning and 0.07 standard deviations on access among randomized controlled trials. Effect sizes are similar for quasi-experimental studies. Effects are larger and demonstrate higher variance for small-scale studies than for large-scale studies. The distribution of existing effects can help researchers and policymakers to situate new findings within current knowledge and design new studies with sufficient statistical power to identify effects.
KerkoCite.ItemAlsoKnownAs: 10.3102/01623737221079646 2129771:7ITFXBL2 2129771:ZLMTIUI7 4426965:WXRZL6EX 4804264:JU9GBCXN

The effectiveness of installing solar panels at schools in Pakistan to increase enrolment - Gillani, Abbas A.; Khan, Sana; Nasir, Sadia; Niaz, Salwa (Journal of Environmental Studies and Sciences, 2022)
At present, 35% of all primary schools and 15% of all secondary schools in Pakistan do not have access to electricity, severely impacting student participation and performance. Earlier literature exploring the effects of electrification of schools through solar electricity on educational access and outcome has been very limited, but recently it has gained attention. By examining data of more than 20,000 schools across 176 districts of Pakistan from the years 2013 until 2018, this paper quantifies the effectiveness of installing solar panels at schools to generate electricity, and thus increasing student participation through higher enrolment. The results show that a school where a solar panel was installed as an education policy initiative witnessed an increase in enrolment, when compared to a school that did not have a solar panel installed under the education policy initiative. This research highlights an immediate need of electrification of schools in order to improve learning outcomes. It also quantifies the effects of using solar electricity at schools that otherwise may not have access to electricity via the conventional grid system. Finally, as Pakistan ranks second in the list of countries with the worst pollution in the world, this study provides evidence for policymakers, and urges them to focus on expanding the use of renewable energy resources in all fields of socioeconomic activity in order to reverse the detrimental effects of climate change.
KerkoCite.ItemAlsoKnownAs: 10.1007/s13412-022-00747-z 2129771:F9LHXM6J 2486141:BI7HCB63
Keywords: Education; Education policy; Enrolment; Pakistan; Solar panels

Ethics of AI in Education: Towards a Community-Wide Framework - Holmes, Wayne; Porayska-Pomsta, Kaska; Holstein, Ken; Sutherland, Emma; Baker, Toby; Shum, Simon Buckingham; Santos, Olga C.; Rodrigo, Mercedes T.; Cukurova, Mutlu; Bittencourt, Ig Ibert; Koedinger, Kenneth R. (International Journal of Artificial Intelligence in Education, 2022)
While Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions are not by themselves sufficient. There is also the need to consider explicitly issues such as fairness, accountability, transparency, bias, autonomy, agency, and inclusion. At a more general level, there is also a need to differentiate between doing ethical things and doing things ethically, to understand and to make pedagogical choices that are ethical, and to account for the ever-present possibility of unintended consequences. However, addressing these and related questions is far from trivial. As a first step towards addressing this critical gap, we invited 60 of the AIED community’s leading researchers to respond to a survey of questions about ethics and the application of AI in educational contexts. In this paper, we first introduce issues around the ethics of AI in education. Next, we summarise the contributions of the 17 respondents, and discuss the complex issues that they raised. Specific outcomes include the recognition that most AIED researchers are not trained to tackle the emerging ethical questions. A well-designed framework for engaging with ethics of AIED that combined a multidisciplinary approach and a set of robust guidelines seems vital in this context.
KerkoCite.ItemAlsoKnownAs: 10.1007/s40593-021-00239-1 4804264:4WF2NSZT 4804264:NLVK84DR
Keywords: Final_citation; anystyle; existing

The effectiveness of technology-facilitated personalized learning on learning achievements and learning perceptions: a meta-analysis - Zheng, Lanqin; Long, Miaolang; Zhong, Lu; Gyasi, Juliana Fosua (Education and Information Technologies, 2022)
As a learner-centered approach, technology-facilitated personalized learning has received increasing attention in the field of education. However, it is not clear whether technology-facilitated personalized learning is effective for both learning achievements and learning perceptions. This study aims to close the research gaps and examine the effect sizes of technology-facilitated personalized learning on learning achievements and learning perceptions from 2001 to 2020. In total, 34 empirical studies were synthesized in the present meta-analysis. The findings revealed that technology-facilitated personalized learning had a medium effect size on learning achievements and a small effect size on learning perceptions. Furthermore, the impacts of 10 moderator variables, including the sample levels, sample sizes, learning domains, research design, research settings, intervention duration, learning methods, software and hardware that support personalized learning, and user-oriented personalized parameters, were analyzed in depth. It was found that learning methods and personalized learning software significantly moderated the effect sizes. The novelty and main contribution of this study is threefold. First, this study revealed that technology-facilitated personalized learning was more effective than traditional learning through the comprehensive meta-analysis. Second, this study found that learning methods and personalized learning software could trigger and leverage the effects of technology-facilitated personalized learning. Third, this study proposed a design framework of technology-facilitated personalized learning to facilitate the implementation of personalized learning effectively.
KerkoCite.ItemAlsoKnownAs: 10.1007/s10639-022-11092-7 4804264:8RR5F92U
Keywords: Effect size; Final_citation; Learning achievement; Learning perception; Meta-analysis; Personalized learning; cited; existing

The Connection Between Socio-emotional Learning and Girls’ Educational Outcomes - Fitzpatrick, Rachel; Page, Ella (2022)
The literature on socio-emotional learning is vast, with a broad range of programmes and interventions spanning multiples ages with a variety of different objectives. A USAID systematic literature review of SEL interventions, identified a broad range of outcomes identified in evaluations of SEL programmes. The majority of the literature on academic outcomes is drawn from high-income contexts, though a small number of studies looking at the impact of girls’ clubs have sought to make a connection between participation in clubs and academic performance (Marcus et al, 2017; Amenya et al, 2021). Interventions targeting Early Years typically focus on play-based interventions at home and in primary care settings, and on parenting and prenatal skills development and support (Sánchez Puerta et al., 2016). The outcomes of these interventions typically focus on the development of socio-emotional learning skills, parenting behaviours, but also on academic performance (ibid). A World Bank review found that interventions before school were more likely to show favourable results during follow-up. Aside from the direct academic outcomes, SEL is found to have intermediate outcomes too, particularly in lower-income contexts. For example, girls’ clubs are associated with increased enrolment and retention rates at multiple levels of education (Marcus et al, 2017), in addition to increasing girls’ self-esteem and motivation to learn (Amenya et al, 2021). Other programmes with a focus on SEL have been found to improve career-related outcomes, delay pregnancy and early marriage, and support the development of skills required by the workplace, or advancing prosocial/anti-conflict behaviours (Sánchez Puerta et al., 2016).
Accepted: 2022-10-17T13:01:25Z Publisher: Institute of Development Studies KerkoCite.ItemAlsoKnownAs: 10.19088/K4D.2022.154 2129771:NGKJGM28 4869029:G994BECU 4869029:R6A7UJBM
Keywords: ⚠️ Invalid DOI; ⛔ No DOI found

K4D Strengthening Cross-sector Learning for Education and FCAS - Freed, Danielle (2022)
This K4D Impact Story shares how the K4D’s Education in Fragile and Conflict Affected States (FCAS) Learning Journey supported the UK Government’s and global partners’ understanding of the subject, facilitated dialogue and learning, and equipped advisors with evidence and ideas that promote ongoing stability. This case study was made possible through the contribution of the K4D Programme team, staff at the Foreign, Commonwealth and Development Office, and others who engaged with the resources and K4D Programme.
Accepted: 2022-10-23T17:03:31Z Publisher: Institute of Development Studies KerkoCite.ItemAlsoKnownAs: 10.19088/K4D.2022.159 2129771:AASHRTQH 4869029:63J8U4LX

Understanding Teacher School Choice Preferences: What Matters Most for Teacher Deployment in Sierra Leone? - McBurnie, Chris; Godwin, Katie; Haßler, Björn (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.6817992 2129771:DUAVS9AV 2405685:KAAC2B78
Keywords: _C:Sierra Leone SLE; _r:AddedByZotZen

Mapping and Analysing Digital Learning Platforms in Latin America and the Caribbean - Myers, Christina; Wyss, Natalie; Villavicencio Peralta, Xuzel; Coflan, Caitlin (EdTech Hub, 2022)
This document was produced in response to a request from the UNICEF Latin America and Caribbean Regional Office (LACRO) submitted to the EdTech Hub Helpdesk in October 2021. The UNICEF team requested a curated list of digital learning platforms in the Latin America and Caribbean (LAC) region and an analysis of a shortlisted series of platforms intending to explore their potential for at-scale implementation and impact. This report does not aim to cover every leading and innovative digital learning platform in the LAC region. Rather, it presents a list of promising platforms and discusses their design and implementation to explore their relevance and potential for at-scale impact. An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7023230 ZenodoArchiveConcept: 7023229 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7023230 10.5281/zenodo.7038003 10.53832/edtechhub.0111 2405685:E2R8AXSA 2405685:SMH62I7W 2405685:VINQBTJ5
Keywords: _r:AddedByZotZen

Data collection and visualisation tools in the education sector in sub-Saharan Africa and South Asia - Vijil, Alejandra; El-Serafy, Yomna; Adam, Taskeen; Haßler, Björn (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7371460 ZenodoArchiveConcept: 7371459 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7371460 10.5281/zenodo.7473922 10.5281/zenodo.7500121 10.53832/edtechhub.0151 2339240:BE2J66WG 2405685:BBAPFKW4 2405685:JHWKC6F4 2405685:P833K7KC 2405685:YLS6YQ3U
Keywords: _r:AddedByZotZen

Sandbox Handbook V.2.0 - EdTech Hub (EdTech Hub, 2022)
KerkoCite.ItemAlsoKnownAs: 4426965:DK6N5CLX 4804264:IJCFJPQF
Keywords: Final_citation; cited; existing

Sandbox Handbook V.2.0 - EdTech Hub (EdTech Hub, 2022)
KerkoCite.ItemAlsoKnownAs: 2129771:YH3QMK5Y 4426965:DK6N5CLX

Using technology to support teacher continuous professional development in Sierra Leone - Beoku-Betts, Iman; Plaut, Daniel; Tanweer, Rabia (2022)

What are the enablers and barriers for effective School-Based Teacher Professional Development? - Lurvink, Anne-Fleur; Bangura, Zainab; Fortune, Alhaji; George, Alex H.; Godwin, Katie; Mason-Sesay, Miriam; Moseray, David; Tholley, Ibrahim; Turay, Emmanuel B.; Haßler, Björn (OpenDevEd, 2022)
KerkoCite.ItemAlsoKnownAs: 2129771:8BEIULTV 4426965:XVW7ALCZ

Guidance Note on Education Data Mapping in Sub-Saharan Africa: Moving from theory to practice - Selwaness, Irene; Adam, Taskeen; Lawson, Laté; Heady, Lucy (EdTech Hub, 2022)
KerkoCite.ItemAlsoKnownAs: 4804264:KHJ7AYDH
Keywords: Final_citation; cited; existing

Technology use in teacher preparation and professional development in low- and middle-income countries: 2023 GEM Report – Evidence review - Hennessy, S.; D'Angelo, Sophia; Koomar, Saalim; Kreimeia, Adam; Adam, Taskeen; Cao, Lydia; Haßler, Björn (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.6958583 10.53832/edtechhub.0104 2405685:8SKNCIXH
Keywords: _r:AddedByZotZen

Secondary Education Provision and Impacts of Low Secondary Uptake on Wider Societal Outcomes - Fitzpatrick, Rachael (2022)
This report explores the current uptake and completion of secondary education globally, with a particular focus on sub-Saharan Africa. The report also explores the wider societal benefits of increased secondary completion rates, and the financial considerations that are needed to increase uptake and completion. Using data from UIS (2022) and UNESCO WIDE (2022), the report identified disparities in net enrolment, attendance and completion between primary and both levels of secondary education, particularly upper secondary. In sub-Saharan African countries, achievements in net enrolment at primary level are rarely met with high enrolment levels at either lower or upper secondary level, with this difference even more stark when observing completion rates. Currently, both lower and upper secondary education is not a funding priority amongst many countries in sub-Saharan Africa. Of the 27 countries included in analysis, only one country (Mauritius) spent a higher proportion on secondary education compared to other levels (UIS, 2022). Some countries were found to spend a higher proportion of GDP on tertiary education compared to other education levels, with over double the amount spent on tertiary compared to both lower and upper secondary education combined in some instances (Ethiopia, Sierra Leone, South Sudan) (UIS, 2022).
Accepted: 2022-09-23T08:22:15Z Publisher: Institute of Development Studies KerkoCite.ItemAlsoKnownAs: 10.19088/K4D.2022.122 2129771:IVWQ2I5P 4869029:RTUXRK9R

EdTech in Developing Countries: A Review of the Evidence - Rodriguez-Segura, Daniel (The World Bank Research Observer, 2022)
The emergence of educational technology (“EdTech”) in developing countries has been received as a promising avenue to address some of the most challenging policy questions within educational systems. In this paper, I review and synthesize all existing studies with credible causal identification frameworks of EdTech interventions in developing countries. While other studies review the evidence for EdTech interventions in developed countries, there is currently no equivalent study for developing contexts, in spite of the rising number of studies being produced. I classify studies into four thematic categories based on the type of EdTech intervention analyzed: Access to technology; technology-enabled behavioral interventions; improvements to instruction; and self-led learning. I find that EdTech interventions centered around self-led learning and improvements to instruction are the most effective forms of EdTech at raising learning outcomes. Similarly, technology-enabled behavioral interventions are less promising for generating large effects but highly cost-effective given their typically low marginal costs. Although expanding access to technology alone is not sufficient to improve learning, it is a necessary first step for some other types of interventions. More broadly, the overall success of interventions rests on the thoughtful customization of the EdTech solution to the policy constraints at hand. Finally, EdTech interventions across all thematic areas can and should act as complements by leveraging their respective comparative advantages to address deficiencies within educational systems in developing countries.

Building a More Sustainable Future in Uganda: One Brick at a Time - Nambatya, Margret Mauricia (2022)
Keywords: ⛔ No DOI found

Aprendizaje híbrido Experiencias internacionales con enfoque multimodal - Villavicencio, Xuzel; Coflan, Caitlin (2022)
Esta presentación se elaboró originalmente para una serie de seminarios web sobre aprendizaje blended e híbrido para UNICEF El Salvador y el Ministerio de Educación de El Salvador. Los talleres en línea se impartieron en dos sesiones, con los profesores de El Salvador como parte fundamental de la audiencia. Junto con las lecciones aprendidas de las diversas iniciativas internacionales mapeadas, también se tocaron temas como la infraestructura de las TIC del país y la relevancia de un enfoque de Aprendizaje Socioemocional (SEL). Keywords: híbrido; blended; multimodal; El Salvador; capacitación docente; aprendizaje socioemocional An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 6981609 ZenodoArchiveConcept: 6981608 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.6981609 10.53832/edtechhub.0113 2405685:G8RZFT8Z
Keywords: _r:AddedByZotZen

Commonwealth Educational Leadership Handbook - Osman, Amina; Miller, Paul (Commonwealth iLibrary, 2022)
Commonwealth Education Ministers and stakeholders have consistently stressed the need to improve school leadership giventhe impact that it can have on school performance and learning outcomes. In 2018, at the 20th Commonwealth Conference of Education Ministers (20CCEM), ministers acknowledged that good governanceand effective educational management practices are central to realising equitable access to quality education. Ministers agreedthat high-quality teaching is a priority, and that the Member States should focus on how teachers and school leaders are trained,recruited and motivated and how the profession is governed. Effective and knowledgeable leaders and managers are essentialthroughout all areas of school management practice because they have an impact on the learning outcomes of children, youngpeople, families and the wider community. This handbook is a practical, immediate response to expressed needs in school leadership development. It aims to supportefforts to integrate school leadership development in the professional development of the education work force, includingthrough reflective practice and conversations about professional development and personal growth.

A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome - Schoene, Annika Marie; Basinas, Ioannis; Tongeren, Martie van; Ananiadou, Sophia (International Journal of Environmental Research and Public Health, 2022)
The evolution of the Exposome concept revolutionised the research in exposure assessment and epidemiology by introducing the need for a more holistic approach on the exploration of the relationship between the environment and disease. At the same time, further and more dramatic changes have also occurred on the working environment, adding to the already existing dynamic nature of it. Natural Language Processing (NLP) refers to a collection of methods for identifying, reading, extracting and untimely transforming large collections of language. In this work, we aim to give an overview of how NLP has successfully been applied thus far in Exposome research.We conduct a literature search on PubMed, Scopus and Web of Science for scientific articles published between 2011 and 2021. We use both quantitative and qualitative methods to screen papers and provide insights into the inclusion and exclusion criteria. We outline our approach for article selection and provide an overview of our findings. This is followed by a more detailed insight into selected articles.Overall, 6420 articles were screened for the suitability of this review, where we review 37 articles in depth. Finally, we discuss future avenues of research and outline challenges in existing work.Our results show that (i) there has been an increase in articles published that focus on applying NLP to exposure and epidemiology research, (ii) most work uses existing NLP tools and (iii) traditional machine learning is the most popular approach.
openalex: W4285495954 KerkoCite.ItemAlsoKnownAs: 10.3390/ijerph19148544 2129771:VVDDYJRJ 5072953:V7ISYJ2U
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

The State of Ransomware in Education 2022 – Sophos Partner News - Sophos (Sophos Partner News July, 2022)
Insights into an ever more challenging attack environment and the growing financial and operational burden ransomware is placing on the education sector.
KerkoCite.ItemAlsoKnownAs: 4804264:NK8QUT6S 4804264:SL4APFGH
Keywords: Final_citation; anystyle; existing; ⛔ No DOI found

EdTech Horizon Scan: Blockchain technology in education - Beoku-Betts, Iman; Kaye, Tom (EdTech Hub, 2022)
EdTech Hub horizon scans are publications designed to provoke thinking on a range of topics related to the design, implementation, oversight, and monitoring and evaluation of educational technology (EdTech) tools, products, services, and related ideas. This EdTech Horizon Scan examines the use of blockchain technology in education. Beginning with an overview of blockchain technology, the scan explains what blockchain technology is and how it works. The next section focuses on how blockchain technology can be used in education. In particular, it looks at the benefits of using blockchain technology for micro-credentialing and ownership of learning credentials, the transfer of credits and smart contracts, storing student credentials, identity verification and intellectual property protection. Section 4 gives a summary of the use of blockchain technology, noting the different challenges that may be associated with adopting blockchain technology into education systems. Section 5, gives real examples of the use of blockchain technology in education and different education institutions. Key words: blockchain; cryptography; data; decentralised database; digitalisation; education; micro-credentialing; smart contracting; student credentials; verification An output of the EdTech Hub, https://edtechhub.org
10.53832/edtechhub.0101

Digital Literacy Needs for Online Learning Among Peri-Urban, Marginalised Youth in South Africa - Adam, Taskeen (International Journal of Mobile and Blended Learning (IJMBL), 2022)
As online learning modes become more common, this can exacerbate educational inequalities for learners who do not have the ability to utilise these modes effectively. This has been seen in the COVID-19 crisis where there has been a shift to remote and distance learning modalities despite the limited...
KerkoCite.ItemAlsoKnownAs: 10.4018/IJMBL.310940 2129771:5KY339P2 2129771:KIULXTH7 2486141:VQDPU9L2 4804264:6G69PX6V
Keywords: Author:OpenDevEd; Final_citation; cited; existing

Hybrid learning International experiences with multimodal approaches - Villavicencio, Xuzel; Coflan, Caitlin (2022)
This slide deck was originally developed for a webinar series on blended and hybrid learning for UNICEF El Salvador and the El Salvador Ministry of Education. The online workshops were delivered in two sessions, with the teachers from El Salvador as a key part of the audience. Along with the lessons learnt from the various international initiatives mapped, subjects like the country's ICT infrastructure and the relevance of a Socio Emotional Learning (SEL) approach were also covered. Keywords: hybrid; blended; El Salvador; multimodal; teacher training; socio-emotional learning. An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7023344 ZenodoArchiveConcept: 7023343 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7023344 10.53832/edtechhub.0112 2405685:C2SK9SF9
Keywords: _r:AddedByZotZen

Blended and Hybrid Learning Initiatives: A curated list for El Salvador - Villavicencio, Xuzel; Coflan, Caitlin Moss (EdTech Hub, 2022)
This document was produced in response to a request from the UNICEF country office and Ministry of Education team of El Salvador that was submitted to the EdTech Hub Helpdesk in November 2021. The UNICEF team requested a curated list of global blended and hybrid initiatives with a focus on initiatives that have used a multimodal strategy, highlighting effective and ineffective practices. This report does not aim to cover every leading and innovative blended / hybrid initiative with relevance to the Salvadoran context. Rather, it presents a list of curated resources with examples of challenges, lessons learned, and teacher training approaches that can be used as a guide when designing a multimodal strategy for the education sector. Keywords: hybrid; blended; El Salvador; multimodal; teacher training; remote learning An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 6981598 ZenodoArchiveConcept: 6981597 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.6981598 10.53832/edtechhub.0105 2405685:BDT76583
Keywords: _r:AddedByZotZen

Experimental evidence on learning using low-tech when school is out - Angrist, Noam; Bergman, Peter; Matsheng, Moitshepi (Nature Human Behaviour, 2022)
School closures occurred extensively during the COVID-19 pandemic, and occur in other settings, such as teacher strikes and natural disasters. The cost of school closures has proven to be substantial, particularly for households of lower socioeconomic status, but little evidence exists on how to mitigate these learning losses. This paper provides experimental evidence on strategies to support learning when schools close. We conduct a large-scale randomized trial testing two low-technology interventions—SMS messages and phone calls—with parents to support their child in Botswana. The combined treatment improves learning by 0.12 standard deviations, which translates to 0.89 standard deviations of learning per US$100, ranking among the most cost-effective interventions to improve learning. We develop remote assessment innovations, which show robust learning outcomes. Our findings have immediate policy relevance and long-run implications for the role of technology and parents to support education provision during school disruptions.
Publisher: Nature Publishing Group KerkoCite.ItemAlsoKnownAs: 10.1038/s41562-022-01381-z 4804264:E6Q82JZH 4804264:TLDM2B3K
Keywords: Development studies; Economics; Education; Final_citation

What Matters Most for Teacher Deployment? A case study of teacher preferences in Sierra Leone - McBurnie, Chris; Godwin, Katie; Beoku-Betts, Iman; Bernard-Jones, Lydia; Haßler, Björn (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.6530321 10.53832/edtechhub.0095 2129771:G2ULWZXN 2405685:8GN4RWMR
Keywords: _C:Sierra Leone SLE; _r:AddedByZotZen

Design-Based Implementation Research Baseline Data Collection: Technical report - Koomar, Saalim; Adam, Taskeen; Massam, Winston Edward; Anthony, Gervace; Mrope, Winifrida Jacob; Mtenzi, Fredrick; Mwakabungu, Fika; Komba, Aneth; Hennessy, Sara; Barretto, Johnpaul (EdTech Hub, 2022)
KerkoCite.ItemAlsoKnownAs: 2129771:ZC6JT3M4 4426965:PI77U7J3

The State of Global Learning Poverty: 2022 Update (2022)
KerkoCite.ItemAlsoKnownAs: 4804264:FEBQEHL5
Keywords: Final_citation

OPT: Open Pre-trained Transformer Language Models - Zhang, Susan; Roller, Stephen; Goyal, Naman; Artetxe, Mikel; Chen, Moya; Chen, Shuohui; Dewan, Christopher; Diab, Mona; Li, Xian; Lin, Xi Victoria; Mihaylov, Todor; Ott, Myle; et al. (arXiv, 2022)
Large language models, which are often trained for hundreds of thousands of compute days, have shown remarkable capabilities for zero- and few-shot learning. Given their computational cost, these models are difficult to replicate without significant capital. For the few that are available through APIs, no access is granted to the full model weights, making them difficult to study. We present Open Pre-trained Transformers (OPT), a suite of decoder-only pre-trained transformers ranging from 125M to 175B parameters, which we aim to fully and responsibly share with interested researchers. We show that OPT-175B is comparable to GPT-3, while requiring only 1/7th the carbon footprint to develop. We are also releasing our logbook detailing the infrastructure challenges we faced, along with code for experimenting with all of the released models.
arXiv:2205.01068 [cs]
Keywords: Computer Science - Computation and Language; Computer Science - Machine Learning

Programmes to Support Foundational Learning in South Asia - Fitzpatrick, Rachel (2022)
Despite great achievements in improving school enrolment and completion levels in South Asia, a high proportion of learners continue to live in learning poverty, with approximately 50 per cent of learners unable to read or understand a simple text by age ten (UNICEF, 2021). Learning levels were severely impacted by large scale school closures as a result of Covid-19, with approximately 434 million learners impacted in the region (UNICEF, 2021). Improving foundational learning outcomes, particularly for the most marginalised, is a key policy priority for many South Asian countries. This report draws together learning from seven programmes in South Asia aimed at improving foundational learning, to provide insight into effective approaches that have previously or continue to have an impact on foundational learning levels.
Accepted: 2022-08-15T15:29:47Z Publisher: Institute of Development Studies KerkoCite.ItemAlsoKnownAs: 10.19088/K4D.2022.081 2129771:TVUKNCXY 4869029:EJZK3AXU

Respect in the Commonwealth: A toolkit for building relationships, generating new ideas and increasing respect - Secretariat, Commonwealth (Commonwealth iLibrary, 2022)
This 'project in a box' on building resilience and inter-community dialogue encompasses detailed instructions, illustrations, and inspiration. The toolkit focuses on how to deliver workshops on inter- and intra-community relationship building, and aims to improve global citizenship literacy, awareness of tools and learning of skills to build socially cohesive and tolerant communities that are resilient to violent extremism. This toolkit is for anyone who feels motivated to improve relationships and respect in the community, the workplace and even among friends and family. You can use it to improve respect generally or to tackle a specific issue, such as hate speech or inter-ethnic conflict. Depending on your level of experience of bringing people together, and the kinds of issues you are working with, you will find a range of different tools to apply. Whether you are experienced in facilitating change or are just starting out, this toolkit has been designed and tested for you.

Indoor heat measurement data from low-income households in rural and urban South Asia - Tasgaonkar, Premsagar; Zade, Dipak; Ehsan, Sana; Gorti, Ganesh; Mamnun, Nabir; Siderius, Christian; Singh, Tanya (Scientific Data, 2022)
Rising temperatures are causing distress across the world, and for those most vulnerable, it is a silent killer. Information about indoor air temperature in residential dwellings is of interest for a range of reasons, such as health, thermal comfort and coping practices. However, there have been only few studies that measure indoor heat exposure, and contrast these to outdoor temperatures in rural-urban areas, of which none are in South Asia. We aim to close this knowledge gap with our indoor and outdoor heat measurement dataset, covering five low-income sites in South Asia. Two sites are in rural areas (Maharashtra, India), while three sites focus on urban areas (Dhaka, Delhi and Faisalabad). Data are based on 206 indoor temperature data loggers and complemented by data from five outdoor automated weather stations. The data-set can be used to examine temperature and humidity variation in low-socioeconomic status households in rural and urban areas and to better understand factors aggravating heat stress. This is important to plan and implement actions for combating heat stress.
openalex: W4281659215 KerkoCite.ItemAlsoKnownAs: 10.1038/s41597-022-01314-5 2129771:JA5AJLYB 5072953:A33GK7LY 5072953:TDIH7QC7
Keywords: C:India; Environmental impact; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:indoor heat measurement data; oa:sdg:1 No poverty; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes

Influences of shadow education on the ecology of education – A review of the literature - Luo, Jiahui; Chan, Cecilia Ka Yuk (Educational Research Review, 2022)
Shadow education, also widely known as private tutoring or supplementary education, has attracted increasing research attention in the past two decades. The global expansion of shadow education, as well as its penetration to different educational stages and social classes, are believed to have far-reaching implications for the overall educational landscape. However, despite a steadily growing body of literature, no study to date has systematically reviewed the influences of shadow education from an ecological perspective. Therefore, borrowing Bronfenbrenner's ecological systems theory, this paper aims to provide a comprehensive overview of how shadow education influences different levels of educational ecosystems (i.e. individuals, micro-, meso-, exo-, and macro-system). Based on 74 empirical studies published between 2000 and 2020, the review reveals complex influences exerted by shadow education on multiple systems (e.g., students, mainstream schooling, families, and larger socioeconomic structures), contributing to a more sophisticated understanding of this phenomenon. The paper then discusses how the rise of shadow education creates significant changes to the ecology of education in which it operates, and concludes with implications for future practice and research.
Keywords: Influence; Private tutoring; Supplementary education; Tutor; shadow Education

Artificial intelligence and the conduct of literature reviews - Wagner, Gerit; Lukyanenko, Roman; Paré, Guy (Journal of Information Technology, 2022)
Artificial intelligence (AI) is beginning to transform traditional research practices in many areas. In this context, literature reviews stand out because they operate on large and rapidly growing volumes of documents, that is, partially structured (meta)data, and pervade almost every type of paper published in information systems research or related social science disciplines. To familiarize researchers with some of the recent trends in this area, we outline how AI can expedite individual steps of the literature review process. Considering that the use of AI in this context is in an early stage of development, we propose a comprehensive research agenda for AI-based literature reviews (AILRs) in our field. With this agenda, we would like to encourage design science research and a broader constructive discourse on shaping the future of AILRs in research.
Publisher: SAGE Publications Ltd KerkoCite.ItemAlsoKnownAs: 10.1177/02683962211048201 2129771:5HE6NKGJ 2129771:QZ8876RB 2405685:KDZG5MJK 2486141:AU8NLI8I
Keywords: _Added-ailr-2024; _important-ailr-2024

Effects of Scaffolding in Digital Game-Based Learning on Student’s Achievement: a Three-Level Meta-analysis - Cai, Zhihui; Mao, Peipei; Wang, Dandan; He, Jinbo; Chen, Xinjie; Fan, Xitao (Educational Psychology Review, 2022)
KerkoCite.ItemAlsoKnownAs: 10.1007/s10648-021-09655-0 4804264:5VH9G4FA
Keywords: Final_citation; cited; existing

Should we paint all classroom roofs white to improve learning in Tanzania? - Proctor, Jamie (EdTech Hub, 2022)
An output of the EdTech Hub, https://edtechhub.org
KerkoCite.ItemAlsoKnownAs: 10.53832/edtechhub.0122 2129771:7N3WZNRK 2486141:5P89ZDY4

Cambodian Secondary School Teachers' Readiness for Online Teaching During the Covid-19 Pandemic - Chea, Phal; Chankoulika, Bo; Minami, Ryuto (2022)
This study intends to review alternative teaching methods during the Covid-19 pandemic and examine teacher readiness in adopting educational technology (edtech) for online teaching as well as factors associated with readiness in the context of secondary schools in Cambodia. To assess teacher readiness, we adopted the Technological Pedagogical Content Knowledge (TPACK), a framework developed by Mishra and Koehler (2006). Data analysis draws on the surveys of 687 teachers at 43 secondary schools in 10 Cambodian provinces collected in November 2021. The findings show that nearly all the sampled teachers experienced teaching online during the school closure, although about a third of them had completely returned to physical in-person teaching at the time of the interview. Although a good share of teachers adopted both synchronous and asynchronous teaching approaches for their online teaching, more than half of teachers who taught online used only one approach (either synchronous or asynchronous). Cambodian secondary teachers think their pedagogical and content knowledge is relatively high at 3.92 and 3.88 respectively. However, their technological knowledge is low at 2.87. The regression analysis suggests that at the individual level, factors that influence teacher readiness include gender, age, perceived challenge and perceived effectiveness of online teaching. Experience teaching at private schools and level of student-teacher interaction are also found to be positively associated with teacher readiness, while initial pre-service and in-service training are found to have little to no influence on teacher readiness. Teachers with access to computers seem to demonstrate a higher level of readiness for online teaching. As expected, teachers in Phnom Penh are likely to be more ready for online teaching, but to our surprise, teachers at resource schools exhibit a lower level of readiness than their peers at general schools.

Expanding educational opportunities or widening learning inequalities? Evidence from national reform of pre-primary education in Ethiopia - Kim, Janice; Sabates, Ricardo (Oxford Review of Education, 2022)
Since a nationwide reform of pre-primary education in 2010, Ethiopia has experienced a massive expansion of pre-primary enrolment that increased tenfold in six years. Our paper aims to assess the distribution of early literacy outcomes between children who attended preschool and those who did not and explore how that distribution has changed throughout the reform and by factors such as gender, location, and parental literacy. We find an overall increase in the achievement gaps associated with pre-primary participation between 2010 and 2016. There are also differential patterns in the learning gaps over the reform, with a particular disadvantage for rural students and a relative advantage for students with parents who are not literate. This study suggests that understanding a fuller picture of learning inequality is critical to designing policy to leave no one behind aligned with the UN Sustainable Development Goals.
Publisher: Routledge _eprint: https://doi.org/10.1080/03054985.2022.2072824 KerkoCite.ItemAlsoKnownAs: 10.1080/03054985.2022.2072824 2129771:MMWK9MH7
Keywords: Educational reform; Ethiopia; early childhood education; educational inequality; nonparametric statistics

The effectiveness of technology-supported teacher professional learning communities in emergency settings. Future-Proofing Teacher Education: Voices from South Africa and Beyond - El-Serafy, Yomna; Adam, Taskeen; Haßler, Björn (Future-Proofing Teacher Education: Voices from South Africa and Beyond, 2022)
KerkoCite.ItemAlsoKnownAs: 10.4324/9781003185499 2129771:PMRPEFS6 4804264:84MW225P
Keywords: Author:OpenDevEd; _forthcoming

Future-Proofing Teacher Education: Voices from South Africa and Beyond - Gravett, Sarah; Petersen, Nadine (Routledge, 2022)
KerkoCite.ItemAlsoKnownAs: 10.4324/9781003185499 2129771:CV5DTCQE

“How Dare They Peep into My Private Life?” - Han, Hye Jung (Human Rights Watch, 2022)
The 99-page report, “’How Dare They Peep into My Private Life?’: Children’s Rights Violations by Governments that Endorsed Online Learning during the Covid-19 Pandemic,” is grounded in technical and policy analysis conducted by Human Rights Watch on 165 education technology (EdTech) products endorsed by 49 countries. It includes an examination of 294 companies found to have collected, processed, or received children’s data since March 2021, and calls on governments to adopt modern child data protection laws to protect children online.
KerkoCite.ItemAlsoKnownAs: 4804264:CDT7V2T6 4804264:SXRGHWRZ
Keywords: Final_citation; anystyle; existing; ⛔ No DOI found

Modeling the impact of indoor relative humidity on the airborne transmission of several respiratory viruses risk using a modified Wells-Riley model - Aganovic, Amar; Bi, Yang; Bi, Yang; Cao, Guangyu; Kurnitski, Jarek; Wargocki, Pawel (CLIMA 2022 conference, 2022)
There is good evidence supporting the airborne transmission of many respiratory viruses (measles, influenza A, human rhinovirus and the novel SARS-CoV-2). Relative humidity (RH) is an important factor in understanding airborne transmission as it may impact both airborne survival, inactivation by biological decay, and the gravitational settling of the virusladen droplets. This study aimed to estimate and compare the impact of indoor relative humidity on the airborne infection risk caused by these viruses using a novel modified version of the Wells-Riley model. To gain insights into the mechanisms by which relative humidity might impact airborne transmission infection risk, we modeled the size distribution and dynamics of airborne viruses emitted from a speaking person in a typical residential setting over a relative humidity (RH) range of 20–80% at a temperature of 20-21 °C. Besides the size transformation of virus-containing droplets due to evaporation and then removal by gravitational settling, the modified model also considers the removal mechanism by ventilation. The direction and magnitude of RH impact depended on the respiratory virus. Measles showed a highly significant RH impact that was as strong as the ventilation impact, as the infection risk was roughly the same at RH of 13.5 % and 6 ACH compared to a higher RH of 70 % and 0.5 ACH. For other viruses, ventilation dominated over RH. In the case of SARS-CoV-2, a very high RH of 83.5% was needed to reduce the infection risk. For rhinovirus, however, the high RH of 80% increased the infection risk. Within the acceptable range of RH of 20-50% indoors, our modeling showed that RH had practically no impact for SARS-CoV-2 and rhinovirus, while the upper RH significantly reduced the infection risk of influenza A at the lowest ventilation rate of 0.5 ACH. This relative impact of RH on infection risk became very weak at higher ventilation rates of 2-6 ACH independently of the virus types (except measles). In conclusion, we showed that in wellventilated rooms, RH range of 20-50% did not affect the airborne risk of influenza A, SARSCoV-2, and rhinovirus.
Publisher: CLIMA 2022 conference KerkoCite.ItemAlsoKnownAs: 10.34641/CLIMA.2022.363 2129771:9DKJ5XA4 4682641:RY22WFV5 4682641:ZXCG74X9
Keywords: BE:RELEVANT

Development of the TAIL rating scheme for indoor environmental quality in schools - Tran, Minh-Tien; Wei, Wenjuan; Dassonville, Claire; Mandin, Corinne; Wargocki, Pawel; Hequet, Valérie (CLIMA 2022 conference, 2022)
The TAIL rating scheme was developed to assess indoor environmental quality (IEQ) in offices and hotels undergoing deep renovation and was recently extended by the PredicTAIL method allowing prediction of IEQ through modeling. TAIL provides the methodology for rating the quality of the thermal, acoustic, and luminous environments, the indoor air quality, and the overall quality of the indoor environment. The present work is an extension of the use of TAIL rating scheme for school classrooms to provide necessary information for effective actions and mitigation measures to improve classroom IEQ. The TAIL was invented by examining the literature and certification schemes to identify the parameters that characterize IEQ in offices and hotels; 12 parameters were selected. A similarly pragmatic approach is followed when developing the TAIL for schools. The literature published after 2010 was surveyed to identify papers presenting measurements of IEQ in classrooms in Europe, the USA, and Australia; 75 papers were identified. Besides the 12 parameters already included in TAIL, the studies also used other parameters to characterize classroom IEQ. These parameters will be evaluated for their importance for the teaching, learning, and well-being of pupils, as well as measuring complexity, among others. Based on this assessment, the relevant parameters will be selected for inclusion in the TAIL rating for schools. The selection will be assisted using the measurements from the extensive campaign organized by the Indoor Air Quality Observatory in 308 schools and 602 classrooms in France; some of these data will be used to assess the efficacy of the TAIL for schools indicator. The relationships between the newly developed TAIL for schools, the teacher’s perceptions of indoor environmental quality, and detailed building characteristics will be studied.
Publisher: CLIMA 2022 conference KerkoCite.ItemAlsoKnownAs: 10.34641/CLIMA.2022.244 2129771:KYSDIHAD 2129771:SIRRH9BM 4682641:4GVDN4PA 4682641:GBDCAQVS
Keywords: BE:RELEVANT; auto_merged

Evidence on Programmes that have Supported School Return for Disadvantaged Adolescent Girls - Amenya, Donvan (Institute of Development Studies, 2022)
This paper collates evidence on promising programmes that have supported school return for disadvantaged out-of-school girls in Rwanda and in other comparable low-and-middle-income country contexts. The review found evidence showing that interventions that address financial barriers which keep girls out of school delivered through cash transfers, stipends/fee waivers, and girls only scholarships can be effective in enhancing school return for disadvantaged girls. In addition, there is a strong evidence base showing that multi-faceted programmes that integrate health education, foundational skill training, vocational training, and financial literacy are effective in supporting school return for disadvantaged adolescent girls. While results from systematic reviews show that girls clubs can be effective in supporting school retention for disadvantaged girls, there is limited evidence on effectiveness of clubs in supporting school return for disadvantaged girls. The review found very limited evidence on effectiveness of financial and multi-faceted interventions in supporting school return for disadvantaged girls with disabilities.
KerkoCite.ItemAlsoKnownAs: 10.19088/K4D.2022.128 2129771:HECG4DKR 4869029:NAKXLQVJ

Evidence on Programmes that have Supported School Return for Disadvantaged Adolescent Girls - Amenya, Donvan (2022)
This paper collates evidence on promising programmes that have supported school return for disadvantaged out-of-school girls in Rwanda and in other comparable low-and-middle-income country contexts. The review found evidence showing that interventions that address financial barriers which keep girls out of school delivered through cash transfers, stipends/fee waivers, and girls only scholarships can be effective in enhancing school return for disadvantaged girls. In addition, there is a strong evidence base showing that multi-faceted programmes that integrate health education, foundational skill training, vocational training, and financial literacy are effective in supporting school return for disadvantaged adolescent girls. While results from systematic reviews show that girls clubs can be effective in supporting school retention for disadvantaged girls, there is limited evidence on effectiveness of clubs in supporting school return for disadvantaged girls. The review found very limited evidence on effectiveness of financial and multi-faceted interventions in supporting school return for disadvantaged girls with disabilities.
Accepted: 2022-10-14T10:16:41Z Publisher: Institute of Development Studies KerkoCite.ItemAlsoKnownAs: 10.19088/K4D.2022.128 2129771:P5RWXQDL 4869029:SKHUAGD7