Tich Mi Ar Tich Dem Open Development & Education and EducAid Sierra Leone - Lurvink, Anne-Fleur; Mason-Sesay, Miriam (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Decentralized Information Platforms in Public Governance: Reconstruction of the Modern Democracy or Comfort Blinding? - Kud, Aleksandr (International Journal of Public Administration, 2023)
Keywords: Final_citation

GPTeach: Interactive TA Training with GPT-based Students - Markel, Julia Mae; Opferman, Steven G.; Landay, James A.; Piech, Chris (EdArXiv, 2023)
Interactive and realistic teacher training is hard to scale. This is a key issue for learning at scale, as inadequate preparation can negatively impact both students and teachers. What if we could make the teacher training experience more engaging and, as a downstream effect, reduce the potential for harm that teachers-in-training could inflict on students? We present GPTeach, an interactive chat-based teacher training tool that allows novice teachers to practice with simulated students. We performed two studies to evaluate GPTeach: one think-aloud study and one A/B test between our tool and a baseline. Participants took the role of a teaching assistant conducting office hours with two GPT-simulated students. We found that our tool provides the opportunity for teachers to get valuable teaching practice without the pressures of affecting real students, allowing them to iterate their responses both during and across sessions. Additionally, participants enjoyed flexibility in tailoring their responses according to the varied personas, needs, and learning goals. In this paper, we provide quantitative results and qualitative observations to inform future work in this area. We conclude with a discussion of actionable design ideas for such systems, as well as other ways to use this tool for evaluating teachers and students. GPTeach has recently been deployed into the teacher training component of an online course with over 800 novice teachers.

Evidence collection - Haßler, Björn (OpenDevEd, 2023)
Keywords: _comingsoon; _r:AddedByZotZen; _r:ImportedToMyEducationEvidence

Introducing the 2023 Post Growth Fellows - Holmes, Natalie (Post Growth Perspectives, 2023)
Influential researchers, thought leaders, activists, artists, and entrepreneurs from a range of backgrounds, fields, and cultures.

Bridging the Human Rights Implementation Gap: A Commonwealth Survey - Secretariat, Commonwealth (Commonwealth iLibrary, 2023)
In January 2022, the Commonwealth Secretariat launched a survey of national frameworks for the implementation of international human rights obligations in Commonwealth member states. The primary objectives of the survey were to: a. Contribute to the body of knowledge, such as studies conducted by the Office of the United Nations High Commissioner for Human Rights (OHCHR) and other organisations, on the role and effectiveness of National Mechanisms for Implementation, Reporting and Follow-up (NMIRFs). Recent OHCHR studies have shown that NMIRFs are vital for improved implementation and reporting on human rights. They have identified several essential ‘capacities’ for enhanced performance, including engagement, co-ordination, consultation and information management. b. Map existing national systems for implementation, reporting and follow-up to understand how they implement their mandates, and thereby facilitate an exchange of good practice and lessons learnt. c. Understand specific needs for further technical assistance for Commonwealth member states to establish and/or strengthen NMIRFs. d. Provide information to be used in advocacy for formulating common guiding principles on NMIRFs.

Addressing Online Violence Against Women and Girls in the Commonwealth Pacific Region: The Role of Bystanders - Secretariat, Commonwealth (Commonwealth iLibrary, 2023)
This report focuses on the role of online bystanders in reducing online violence against women and girls (VAWG), including consideration of any related policies or laws. Given the relatively recent emergence of bystanders as potential facilitators and exacerbators of online crime, policy responses have tended to focus on the virtual versions of existing physical crimes, such as ‘cyber’ bullying and ‘cyber’ stalking, and/or the dissemination of intimate images online (when previously they might have been posted on a physical bulletin board). Moreover, these policy responses have tended to focus on capturing perpetrators, but not bystanders, within a legislative framework.

PubGraph: A Large-Scale Scientific Knowledge Graph - Ahrabian, Kian; Du, Xinwei; Myloth, Richard Delwin; Ananthan, Arun Baalaaji Sankar; Pujara, J. (2023)
Research publications are the primary vehicle for sharing scientific progress in the form of new discoveries, methods, techniques, and insights. Unfortunately, the lack of a large-scale, comprehensive, and easy-to-use resource capturing the myriad relationships between publications, their authors, and venues presents a barrier to applications for gaining a deeper understanding of science. In this paper, we present PubGraph, a new resource for studying scientific progress that takes the form of a large-scale knowledge graph (KG) with more than 385M entities, 13B main edges, and 1.5B qualifier edges. PubGraph is comprehensive and unifies data from various sources, including Wikidata, OpenAlex, and Semantic Scholar, using the Wikidata ontology. Beyond the metadata available from these sources, PubGraph includes outputs from auxiliary community detection algorithms and large language models. To further support studies on reasoning over scientific networks, we create several large-scale benchmarks extracted from PubGraph for the core task of knowledge graph completion (KGC). These benchmarks present many challenges for knowledge graph embedding models, including an adversarial community-based KGC evaluation setting, zero-shot inductive learning, and large-scale learning. All of the aforementioned resources are accessible at https://pubgraph.isi.edu/ and released under the CC-BY-SA license. We plan to update PubGraph quarterly to accommodate the release of new publications.

Addressing Online Violence Against Women and Girls in the Commonwealth Asia Region: The Role of Bystanders - Secretariat, Commonwealth (Commonwealth iLibrary, 2023)
Online violence is increasing rapidly and is emerging as one of the biggest threats facing the online world today. Acts of online violence take multiple forms, including cyberstalking, cyberbullying, sexual harassment, sex trolling, doxing, hate speech, public shaming and intimidation. Broadly speaking, online violence against women and girls and the victimisation pattern in Commonwealth Asia member countries are consistent with the overall global trend. However, given unique formal and informal institutions in these countries, perpetration and victimisation related to OVAWG have many significant aspects that are different from most other countries in the world. As a result of underdeveloped regulations and regulatory infrastructure related to OVAWG, it is difficult to arrest, prosecute and convict the perpetrators in most of these countries. Meanwhile, societal norms tend to make victims of OVAWG feel devalued and excluded.

The Circular Economy: Micro-Macro Linkages and Implications for Commonwealth Countries - Brain, Sophie; Awiti, Christine (Commonwealth iLibrary, 2023)
In the ongoing fight against poverty and inequality, globalization and sustained economic growth are perceived as key to ending global poverty and achieving the Sustainable Development Goals (SDGs). Sustained economic growth is traditionally seen as leading to increased income, which either directly or indirectly lowers poverty levels. Similarly, as the world becomes more globalized, it is assumed that the increase in trade will be accompanied by good quality jobs in both industry and services and, consequently, increasing income, declining poverty and sustained growth.

Addressing Online Violence Against Women and Girls in the Commonwealth Caribbean and the Americas: The Role of Bystanders - Secretariat, Commonwealth (Commonwealth iLibrary, 2023)
The purpose of this report is to map the prevalence of online violence against women and girls, with a particular focus on so-called innocent bystanders and the state of laws, institutions, policies and practices within the Caribbean and Americas regionof the Commonwealth (Canada). Cyberviolence against women and girls in the Commonwealth countries of the Caribbean and Americas (Canada) is recognised as a serious problem, and measures are being taken to address it. The prevalence of cyberviolence in terms of its root causes and impacts is gender based, with a disproportionate impact on females and marginalised individuals where there is also intersectionality of race, ethnicity, religion, sexual orientation, poverty, disability and other socioeconomic factors. Similar types of violence against women and girls often occur in both offline and online spheres or originate in one sphere and carried through into the other. In the most serious cases, cyberviolence can lead to physical assaults and even suicide.

Realising Article 24 of the Convention on the Rights of Persons with Disabilities: Case Studies in Mainstreaming and Inclusive Education - Secretariat, Commonwealth (Commonwealth iLibrary, 2023)
As part of an ongoing commitment to support the development of a more inclusive education system across Commonwealth countries, the Commonwealth Secretariat commissioned documentation to support good policy and practice, particularly on including students with disabilities in mainstream education. This has been prepared with the objective of initiating a wider dialogue on inclusive practices for mainstreaming disability.This document provides examples from 11 Commonwealth countries, highlighting the process of change that is underway in these countries and the evolution of policies and strategies to improve access to education for children with disabilities.It additionally provides models and self-assessment tools to support policy-makers and education professionals as they work towards achieving Sustainable Development Goal (SDG) 4 to ensure inclusive andequitable quality education and promote lifelong learning opportunities for all.

EdTech Impact in Education – An Analysis Prepared for the Education Endowment Foundation - Walker, Hannah; Moustafa, Nariman; Haßler, Björn (OpenDevEd, 2023)
Keywords: _r:AddedByZotZen; _r:AddedByZotZen-Plus; _r:ImportedToMyEducationEvidence

Innovative approaches to sexual and reproductive health and rights - Stienen, Petra (2023)
Sexual and reproductive health and rights (SRHR), which are related to bodily autonomy and selfdetermination in sexuality and reproduction, are particularly relevant to gender equality but concern every individual. Access to these rights should be ensured without discrimination based on any ground. This objective should be high in the priorities of legislators and policy makers. Innovation in science and technology, in areas such as communication and online medical consultation and prescription, facilitates the implementation of this policy priority.
Keywords: ⛔ No DOI found

Research proposal (2023)

Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans – TCPS 2 (2022) - Interagency Advisory Panel on Research Ethics Government of Canada (2023)

Comparative Analysis Summary Report of Digital Literacy Skills Frameworks. - Macharia, Grace; Martin, Anna; Omboto, Charles; Waziri, Nafisa; Walker, Hannah; Haßler, Björn (Open Development and Education, 2023)

How Finland Is Teaching a Generation to Spot Misinformation - Gross, Jenny (The New York Times, 2023)
The Nordic country is testing new ways to teach students about propaganda. Here’s what other countries can learn from its success.
Keywords: Education (K-12); Europe; Final_citation; Finland; News and News Media; Open Society Foundations; Rumors and Misinformation; Social Media; Teachers and School Employees; anystyle; existing

Exploring the Benefits and Challenges of AI-Language Learning Tools - Rebolledo Font de la Vall, Roxana; Gonzalez Araya, Fabian (International Journal of Social Sciences and Humanities Invention, 2023)
AI language learning tools are computer programs or software applications that use artificial intelligence (AI) algorithms to help users learn and improve their skills in a foreign language. These technologies have a lot of benefits, such as the ability to save time and speed up learning, to give students personalized learning experiences, and to help them learn about other cultures. In this study, the scientific literature was looked at to find out the pros, cons, opportunities, and challenges of using AI language learning tools, such as the need for more human interaction, the complexities of language in context, and the fact that training needs a lot of data. In the future, these AI tools could be used to make changes, like combining VR and AR, developing better algorithms for processing natural language, and using more advanced algorithms for adaptive learning. By addressing these problems and limitations, AI learning systems could become even more powerful and valuable tools for learning languages. Their integration is critical to improving the effectiveness and efficiency of learning user experience solutions.

Social Media Use Is Linked to Brain Changes in Teens, Research Finds - Barry, Ellen (The New York Times, 2023)
Teens who frequently checked social media showed an increasing sensitivity to peer feedback, although the cause of the changes was not clear.
Keywords: Brain; Children and Childhood; Facebook Inc; Final_citation; Instagram Inc; JAMA Pediatrics (Journal); Mental Health and Disorders; Social Media; Teenagers and Adolescence; anystyle; existing; your-feed-health; your-feed-science; ⛔ No DOI found

A systematic review of conversational AI in language education: focusing on the collaboration with human teachers - Ji, Hyangeun; Han, Insook; Ko, Yujung (Journal of Research on Technology in Education, 2023)
Keywords: _z:no_pdf

Investigating the Activity Levels of School Quality Assurance Officers in Sierra Leone - Beoku-Betts, Iman; Leh Wi Lan, Leh Wi Lan (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/

Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education - Chiu, Thomas K. F.; Xia, Qi; Zhou, Xinyan; Chai, Ching Sing; Cheng, Miaoting (Computers and Education: Artificial Intelligence, 2023)
Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration. The relationships between the technologies and learning outcomes for students and teachers have also been neglected. This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012–2021) using matrix coding and content analysis approaches. The results present the current focus of AIEd research by identifying 13 roles of AI technologies in the key educational domains, 7 learning outcomes of AIEd, and 10 major challenges. The review also provides suggestions for future directions of AIEd research.
Keywords: AI; Artificial intelligence; Artificial intelligence in education; Assessment; Final_citation; Learning; Systematic review; Teaching; anystyle; existing

School mapping and decision-making - GEM Report UNESCO (GEM Report UNESCO, 2023)

Technology use in teacher preparation and professional development in low-and middle-income countries - GEM Report UNESCO (GEM Report UNESCO, 2023)

Health impact studies of climate change adaptation and mitigation measures – A scoping review - Luyten, Axel; Winkler, Mirko S.; Ammann, Priska; Dietler, Dominik (The Journal of Climate Change and Health, 2023)
Climate change affects both mental and physical health. Besides limiting the extent and consequences of climate change, mitigation and adaptation measures can have additional and potentially unintended health impacts. This scoping review outlines how health effects of climate mitigation and adaptation measures have been studied in the scientific literature. We conducted a systematic literature search in the databases PubMed, Scopus and Web of Science without time restriction. All peer-reviewed articles reporting quantified health impacts linked to specific climate change adaptation and mitigation measures were included. Overall, the 89 included articles considered only a narrow range of health determinants and health outcomes. Adaptation- and mitigation-related articles most frequently investigated the environmental health determinants air temperature and air pollution, respectively. Non-communicable diseases were predominantly studied while other relevant health outcome categories, such as mental health, food- and nutrition-related issues, and communicable diseases were rarely reported. The scarcity of studies focusing on the social health determinants and providing stratified health impacts among vulnerable population groups in assessments points to an inadequate consideration of health equity aspects. Increased efforts to quantify health impacts more comprehensively and to identify underlying vulnerability factors among specific population groups seem needed. This information could provide policymakers with more accurate evidence to address health equity aspects, limit adverse health impacts and promote health co-benefits of climate change adaptation and mitigation measures.
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Enhancing the review process in global environmental assessments: The case of the IPCC - Palutikof, Jean; Boulter, Sarah; Field, Christopher B.; Mach, Katharine J.; Manning, Martin; Mastrandrea, Michael D.; Meyer, Leo M.; Minx, Jan; Pereira, Joy Jacqueline; Plattner, Gian‐Kasper; Ribeiro, Suzana Kahn; Sokona, Youba; et al. (Environmental Science & Policy, 2023)
External review is a fundamental component of Global Environmental Assessments, ensuring their processes are comprehensive, objective, open and transparent, and are perceived as such. Here, we focus on review of Intergovernmental Panel on Climate Change (IPCC) Assessment Reports. The review process has received little scrutiny, although review comments and author responses are public. Here we analyse review documents from the Fourth and Fifth Assessments, focusing primarily on Working Group II. We address three questions: Is the review representative? Is it comprehensive? Is it insightful? Overall we found the review process to be fit for purpose, although there are outstanding issues. First, the overwhelming majority of reviewers are from developed countries, although evidence suggests participation by developing country reviewers increased between the Fourth and Fifth Assessments. Second, earlier sections of chapters are more densely reviewed than later ones. This is true even when executive summaries are removed from analysis. In consequence, some sections on specialised topics may escape in-depth review. Thirdly, those review comments which are received make a valid and valuable contribution to the scientific development of chapters. We suggest how outstanding issues could be addressed, including through enhanced reviewer recognition, a wider role for review editors, adherence to mandated page lengths from early in the process, reviewer training, and consistency in reporting to allow systematic evaluation. Making such changes will result in more transparent, consistent and representative processes delivering reviews which effectively contribute to the credibility and legitimacy of future Global Environmental Assessments and, ultimately, their recognition and contribution.
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Teaching and Learning of Mathematics in the Context of the National Numeracy Programme in Malawi: Findings from a Rapid In-depth Qualitative Study - Correa de Oliveira, André; Kanyoza, Charity; Lurvink, Anne-Fleur; Boilo, Violet; Kadzamira, Esme; Haßler, Björn (EdTech Hub, 2023)
Keywords: _forthcoming; _r:AddedByZotZen

Towards Systemic EdTech Testbeds: A Global Perspective - Vanbecelaere, Stefanie; Adam, Taskeen; Sieber, Carmen; Clark-Wilson, Alison; Boody Adorno, Katie; Haßler, Björn (Global EdTech Testbeds Network, 2023)
This document is an output of the Global EdTech Testbeds Network, https://globaledtech.org/.
Keywords: _r:AddedByZotZen; _r:ImportedToMyEducationEvidence

Application of Multitemporal Landsat Data in Mapping of Saline Soils in Kano River Irrigation Scheme (KRIS (FUDMA Journal of Sciences (FJS) ISSN online: 2616-1370 ISSN print, 2023)

Desktop vs Mobile vs Tablet Market Share Africa (2023)

End the killing of children in armed conflict, UN committee urges (2023)
GENEVA (20 November 2023) – With one out of every five children worldwide living within armed conflict zones, the UN Committee on the Rights of the Child marks World Children’s Day in a sombre mood and calls for ceasefires and a return to basics of humanitarian law to safeguard all children. The Committee today issued the following statement:
Keywords: Final_citation; anystyle; existing

OECD Directorate for Education and Skills (2023)
Keywords: Final_citation; anystyle; existing

Approaches to Designing Justice-oriented MOOCs. Presentation to Centre for Innovation in Learning and Teaching (CILT), University of Cape Town - Adam, Taskeen (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

PubGraph: A Large Scale Scientific Temporal Knowledge Graph - Ahrabian, Kian; Du, Xinwei; Myloth, Richard Delwin; Ananthan, Arun Baalaaji Sankar; Pujara, J. (ArXiv, 2023)
Research publications are the primary vehicle for sharing sci-entiﬁc progress in the form of new discoveries, methods, techniques, and insights. Publications have been studied from the perspectives of both content analysis and bibliometric structure, but a barrier to more comprehensive studies of scien-tiﬁc research is a lack of publicly accessible large-scale data and resources. In this paper, we present PubGraph , a new resource for studying scientiﬁc progress that takes the form of a large-scale temporal knowledge graph (KG). It contains more than 432M nodes and 15.49B edges mapped to the popular Wikidata ontology. We extract three KGs with varying sizes from PubGraph to allow experimentation at different scales. Using these KGs, we introduce a new link prediction benchmark for transductive and inductive settings with temporally-aligned training, validation, and testing partitions. Moreover, we develop two new inductive learning methods better suited to PubGraph, operating on unseen nodes without explicit features, scaling to large KGs, and outperforming existing models. Our results demonstrate that structural features of past citations are sufﬁcient to produce high-quality predictions about new publications. We also identify new challenges for KG models, including an adversarial community-based link prediction setting, zero-shot inductive learning, and large-scale learning.
Keywords: ⛔ No DOI found

Mapping Magic in Markets of Africa - Ajadi, S.B. (Scroope: Cambridge Journal of Architecture, 2023)
Keywords: ⛔ No DOI found

The Project of the Future African City: Rethinking Urban Real Estate Finance’ - Ajadi, S.B. (The Cambridge Land Society Magazine, 2023)
Keywords: ⛔ No DOI found

Education research in conflict and protracted crisis – Research Agenda – Report - Akogun, O.; Diazgranados Ferrans, S.; Njobdi, S.; Adesina, Adedoyin (2023)

Evaluating Building Performance of Educational Buildings: A case study of Department of Architecture - Ali, S.M.; A, Aisara (Journal of Environmental Studies. (Environ, 2023)
Keywords: ⛔ No DOI found

Guidance note on using implementation research in education - Alison, Christine (2023)

Guidance note on using implementation research in education - Allison, C. (Building Evidence in Education (BE2), 2023)

Trends and Topics in Educational Technology, 2023 Edition - Allman, Bohdana; Kimmons, Royce; Rosenberg, Joshua; Dash, Monalisa (Techtrends, 2023)
Keywords: Final_citation; anystyle; existing

Positioning large language model artificial intelligence tools within discourse analysis: Opportunities, challenges and ethical considerations - Anand, Pranit; Li, Dongmei; Keen, Joel; Henrickson, Leah (ASCILITE Publications, 2023)

Augmented Education in the Global Age: Artificial Intelligence and the Future of Learning and Work - Araya, Daniel; Marber, Peter (Taylor & Francis, 2023)
Augmented Education in the Global Age: Artificial Intelligence and the Future of Learning and Work is an edited collection that explores the social impact of Artificial Intelligence over the coming decades, specifically how this emerging technology will transform and disrupt our contemporary institutions. Chapters in this book discuss the history of technological revolutions and consider the anxieties and social challenges of lost occupations, as well as the evolution of new industries overlapping robotics, biotechnology, space exploration, and clean energy. Chapter authors unpack the nature of augmented education, from revamping curriculum and personalizing education, to redesigning workplace learning for an algorithmic era. Ultimately the book discusses policy and planning for an augmented future, arguing that work and learning are undergoing a metamorphosis around creativity and innovation amid a new global era and the race against automating technologies. Bringing together expert perspectives from around the world, this exciting, informative collection of research and analysis helps educators, policymakers and analysts navigate the future of work and learning amid rapid and accelerating technological change.
Keywords: Artificial Intelligence and the Future of Learning and Work; Augmented Education in the Global Age; Daniel Araya; Education; Education administration; Education policy; Peter Marber; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology; bic Book Industry Communication::J Society & social sciences::JN Education::JNF Educational strategies & policy; bic Book Industry Communication::J Society & social sciences::JN Education::JNK Organization & management of education; bic Book Industry Communication::J Society & social sciences::JN Education::JNV Educational equipment & technology; computer-aided learning (CAL); computers and technology; education reform

Transforming the financing of education at the mid-point of the sustainable development goals - Archer, David (International Journal of Educational Development, 2023)
Keywords: Final_citation

Leveraging ICT for the Learning Recovery and Acceleration in Bangladesh - Asaduzzaman, T. M.; Geven, Koen Martijn; Oza, Shardul Kinnaresh; Kano, Tsuyoshi Yoshi; Shams, Farzana; Roy, Suparna; Bashir, Amreen; Zubairi, Asma (2023)
Keywords: ⛔ No DOI found

Reimagine Tech-Inclusive Education: Evidence, Practices, and Road Map - Asian Development Bank (Asian Development Bank, 2023)
Keywords: Final_citation

Comprehensive review of solar radiation modeling based on artificial intelligence and optimization techniques: future concerns and considerations - Attar, Nasrin Fathollahzadeh; Sattari, Mohammad Taghi; Prasad, Ramendra; Apaydin, Halit (Clean Technologies and Environmental Policy, 2023)
Keywords: _z:no_pdf

Education Finance Watch 2023 - Bend, May; Hu, Yitong; Pan, Yilin; Patrinos, Harry Anthony; Poulsen, Thomas; Rivera-Olvera, Angelica; Tanaka, Nobuyuki; Antoninis, Manos; Murakami, Yuki; Benveniste, Luis (2023)
Keywords: Final_citation; ⛔ No DOI found

Teacher Deployment in Sierra Leone: Lessons learnt and moving forward - Beoku-Betts, Iman (EdTech Hub, 2023)
This report provides an overview of the teacher deployment process in Sierra Leone prior to and including 2022. Through interviews with key stakeholders in the Ministry of Basic and Senior Secondary Education (MBSSE) and the Teaching Service Commission (TSC), we look at lessons learnt from the deployment process and next steps for how teacher deployment can be implemented. Although there are a number of volunteer teachers in Sierra Leone, the TSC are aiming to increase the number of qualified teachers on the government payroll as well as retaining teachers in rural areas. It was noted that teachers from rural areas being put on the government payroll and deployed to rural schools are better placed to teach in rural schools than teachers moving from urban to rural areas. Hpwever, it is still challenging to find qualified teachers in these rural areas. The TSC want to look at how they can target teachers to take up rural positions, either through distance learning to gain the right qualifications or working with teacher training institutions (TTIs) to prioritise schools in rural areas for placement. Overall, the TSC want to use data as the basis for decision-making on deploying teachers equitably. Keywords Teacher deployment; teacher training; unqualified teachers; volunteer teachers; rural schools; data for decision-making An output of the EdTech Hub, https://edtechhub.org

Investigating the Activity Levels of School Quality Assurance Officers in Sierra Leone - Beoku-Betts, Iman; Leh Wi Lan (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

A sustainable economic revival plan for post-COVID-19 using machine learning approach–a case study in developing economy context - Bhanot, Neeraj; Ahuja, Jaya; Kidwai, Humaid Imran; Nayan, Ankit; Bhatti, Rajbir S. (Benchmarking: An International Journal, 2023)
Keywords: Final_citation

Personalization in bert with adapter modules and topic modelling - Braga, Marco; Raganato, Alessandro; Pasi, Gabriella (2023)
Keywords: ⛔ No DOI found

Learning Career Knowledge: Can AI Simulation and Machine Learning Improve Career Plans and Educational Expectations? - Chen, I-Chien; Bradford, Lydia; Schneider, Barbara (AI in Learning: Designing the Future, 2023)
As AI and machine learning permeates every area of life, its use to ameliorate educational inequities becomes of great interest. One important application of machine learning within education is to help students increase their alignment of career choice, educational attainment, and projected salary. Alignment theory has shown that having alignment yields higher educational attainment for students. Using the app, Init2Winit, which has students play a game which gives them points for correct alignment, this chapter explores how machine learning, in particular using a decision tree, can give insights into game use and its relation to educational expectations. This model builds a basis for the improvement of Init2Winit to increase student educational expectations through counselor interventions and how other educational applications could use machine learning for insights to improve educational outcomes. The model can decrease educational inequities by increasing educational attainment for those in underrepresented minorities.
Keywords: Alignment; Artificial intelligence (AI); Career knowledge; Decision trees; Supervised machine learning algorithms

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)
Keywords: _z:no_pdf

A Blueprint for Education Data: Realising Children’s Best Interests in Digitised Education - Commission, Digital Futures (2023)
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.

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)

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)
Keywords: _yl:b

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

KS-TVET Life Skills Course: Needs Analysis Report - El-Serafy, Yomna; Klune, Christopher (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Thermal energy storage enhanced windcatcher system for hybrid cooling and ventilation in buildings - Eso, Olamide (2023)
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 (Tanzania Education Donors-Partners working group, 2023)
Presentation for the Tanzania Education Donors-Partners working group – session on Education, Climate and Environment.

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

The State of Mobile Internet Connectivity Report 2023 - GSMA (GSMA, 2023)

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)
Keywords: Final_citation; ⛔ No DOI found

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

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)
Keywords: Final_citation; cited; existing

Doing Research: A New Researcher’s Guide - Hiebert, James; Cai, Jinfa; Hwang, Stephen; Morris, Anne K; Hohensee, Charles (Research in Mathematics Education, 2023)

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 (IEEE, 2023)

Automated Knowledge Extraction from IS Research Articles Combining Sentence Classification and Ontological Annotation - Huettemann, Sebastian (2023)
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)
Keywords: ❓ Multiple DOI

IPCC-Climate-Trends-Fact-Sheet-for-Africa - Intergovernmental Panel on Climate Change (2023)

A Map of Mkushi District Health Centres - Iseje, Fatuma (2023)
This map is an accurate map of the Health Centres coming under the Ministry of Health, Mkushi District. The health centre locations were collected an validated over a period of approximately two years (2022-23).
Keywords: _r:AddedByMyEducationEvidence

The Mobile Gender Gap Report - Jeffrie, Nadia (GSMA, 2023)

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)
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.
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 (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)
Keywords: Final_citation; cited; existing

Fixing Ed-Tech’s Investment Model - Labun, Jakub (2023)
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)。
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

Inception Report - Digital Literacy (Smart Africa) - Macharia,, Grace; Haßler, Björn; Martin,, Anna; Omboto,, Charles (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

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)
Keywords: Final_citation; anystyle; existing

(coming soon) - Martin, Anna; Grace, Macharia; Ombeta, Magwari Charles (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

(coming soon) - Martin, Anna; Grace, Macharia; Ombeta, Magwari Charles (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

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.
Keywords: Digital Libraries (cs.DL); FOS: Computer and information sciences

Empathising with Education Stakeholders - McBurnie, Chris; Hassan, Mustafa Syed; Moustafa, Nariman; Walker, Hannah; Lurvink, Anne-Fleur; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Introduction to Design Challenges - McBurnie, Chris; Hassan, Mustafa Syed; Moustafa, Nariman; Walker, Hannah; Lurvink, Anne-Fleur; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Prototyping - McBurnie, Chris; Hassan, Mustafa Syed; Moustafa, Nariman; Walker, Hannah; Lurvink, Anne-Fleur; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

User Journey Mapping and Ideation - McBurnie, Chris; Hassan, Mustafa Syed; Moustafa, Nariman; Walker, Hannah; Lurvink, Anne-Fleur; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

EdTech Fellowship Residential: Day 1 - McBurnie, Chris; Hassan, Syed Mustafa (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Module 3: Case Study Evidence Pack - McBurnie, Chris; Walker, Hannah; Lurvink, Anne-Fleur; Moustafa, Nariman; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Module 3: Case Study Scenarios - McBurnie, Chris; Walker, Hannah; Lurvink, Anne-Fleur; Moustafa, Nariman; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Understanding Sustainable Exit Strategies of Voluntary Development Organisations. Amical Break-Up or Messy Divorce? - Mil, Sara Kinsbergen, Anne-Fleur Lurvink, Imke van (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.

Module 4: Diagnosing adaptive challenges - Moustafa, Nariman; Walker, Hannah; Lurvink, Anne-Fleur; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

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

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

National Digital Literacy Framework - National Information Technology Development Agency (2023)

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)

Edtech and parental engagement - Nicolai, Susan; Rui, Tingting Yang; Zubairi, Asma; Seluget, Chebet; Kamninga, Tony (2023)
Keywords: ⛔ No DOI found

AI in Learning: Designing the Future - Niemi, Hannele; Pea, Roy D.; Lu, Yu (Springer International Publishing, 2023)
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.
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)
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.

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.

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.

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.

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.

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.

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)

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)
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.
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)
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.

Breaking Through Limitations: Enhanced Systematic Literature Reviews With Large Language Models - Reason, Tim; Langham, Julia; Gimblett, Andy; Malcolm, Bill; Klijn, Sven (Population, 2023)
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)
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 (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.
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 $M$ 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.

Text classification using deep learning techniques: a bibliometric analysis and future research directions - Sarin, Gaurav; Kumar, Pradeep; Mukund, M. (Benchmarking: An International Journal, 2023)
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)

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

Should we worry about AI's energy use? - Sparkes, Matthew (New Scientist, 2023)

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)

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.
Keywords: _Added-ailr-2024

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

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)
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.
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.

Education and climate change – What retrofits could make classroom environments more conducive to learning? - Toyinbo, Oluyemi; Villavicencio, Xuzel (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

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

Pupil premium: overview - UK Government (GOV.UK, 2023)

Technology and Innovation Report - UNCTAD (2023)

Inclusive Design Toolkit - University of Cambridge (2023)

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

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.

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

Module 3: Assessing readiness for EdTech in your education system - Walker, Hannah; Lurvink, Anne-Fleur; McBurnie, Chris; Moustafa, Nariman; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Module 0. Kick-Off of the EdTech Fellowship - Walker, Hannah; Lurvink, Anne-Fleur; Moustafa, Nariman; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Module 1. Defining and understanding your ‘people’ and user base. - Walker, Hannah; Lurvink, Anne-Fleur; Moustafa, Nariman; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Module 2: Building a pedagogically effective EdTech intervention - Walker, Hannah; Lurvink, Anne-Fleur; Moustafa, Nariman; Macharia, Grace; Haßler, Björn (Open Development & Education, 2023)
This resource is an output of the Open Development & Education 'EdTech Fellowship' programme. The programme page is avaialble here: https://opendeved.net/programmes/edtech-fellowship/.
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

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

Supporting Intra-Sectoral Collaboration in the Primary Education Sector in Northern Nigeria - Watts, Michael; Akogun, Oladele; Allsop, Terry; Waziri, Nafisa (Africa Education Review, 2023)
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.

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.

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.

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.

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.

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.

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.

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.

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’.

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.

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.

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
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
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.

Safe Schools course: Assessment materials for modules 1, 2, and 3 - Biscette, Clendon; Vijil-Morin, Alejandra; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/
Keywords: _internal; _r:AddedByMyEducationEvidence

Safe Schools course. Module 1: Creating safer schools - Biscette, Clendon; Vijil-Morin, Alejandra; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/
Keywords: _internal; _r:AddedByMyEducationEvidence

Safe Schools course. Module 2: Managing emergencies in safe schools - Biscette, Clendon; Vijil-Morin, Alejandra; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/
Keywords: _internal; _r:AddedByMyEducationEvidence

Safe Schools course. Module 3: Education continuity and disaster resilient education - Biscette, Clendon; Vijil-Morin, Alejandra; Moustafa, Nariman; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/
Keywords: _internal; _r:AddedByMyEducationEvidence

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/

Costed plan tool - Teixeira, Beatriz; Vijil-Morin, Alejandra; Villavicencio, Xuzel; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/
Keywords: _internal; _r:AddedByMyEducationEvidence

Instructions for costed plan tool - Teixeira, Beatriz; Vijil-Morin, Alejandra; Villavicencio, Xuzel; Haßler, Björn (Open Development & Education, 2022)
An output of the Open Development & Education, https://opendeved.net/
Keywords: _internal; _r:AddedByMyEducationEvidence

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

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/
Keywords: _internal; _r:AddedByMyEducationEvidence

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/
Keywords: _internal; _r:AddedByMyEducationEvidence

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/
Keywords: _internal; _r:AddedByMyEducationEvidence