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/
ZenodoArchiveID: 8392536 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1015 ZenodoArchiveConcept: 8392535
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)
KerkoCite.ItemAlsoKnownAs: 4804264:RINV26P7
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/
ZenodoArchiveID: 8392523 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1012 ZenodoArchiveConcept: 8392522
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/
ZenodoArchiveID: 8392527 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1013 ZenodoArchiveConcept: 8392526
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.
Publisher: [object Object] Version Number: 1
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/.
ZenodoArchiveID: 8386681 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1008 ZenodoArchiveConcept: 8386680
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/.
ZenodoArchiveID: 8386675 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1007 ZenodoArchiveConcept: 8386674
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/.
ZenodoArchiveID: 8386687 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1010 ZenodoArchiveConcept: 8386686
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/.
ZenodoArchiveID: 8386685 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1009 ZenodoArchiveConcept: 8386684
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/
ZenodoArchiveID: 8392546 ZenodoArchiveConcept: 8392545 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1016 2129771:S7J9TC7H
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/.
ZenodoArchiveID: 8386653 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1004 ZenodoArchiveConcept: 8386652
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/.
ZenodoArchiveID: 8386658 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1005 ZenodoArchiveConcept: 8386657
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

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

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/.
ZenodoArchiveID: 8386666 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1006 ZenodoArchiveConcept: 8386665
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)
Publisher: UNESCO
Keywords: ⛔ No DOI found

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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/
ZenodoArchiveID: 8392534 ZenodoArchiveConcept: 8392533 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.0297 10.53832/opendeved.1014 2129771:WSD6C5HV
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

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

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

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

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

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

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

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

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/.
ZenodoArchiveID: 8386649 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1003 ZenodoArchiveConcept: 8386648
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/.
ZenodoArchiveID: 8386638 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1000 ZenodoArchiveConcept: 8386637
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/.
ZenodoArchiveID: 8386642 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1001 ZenodoArchiveConcept: 8386641
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/.
ZenodoArchiveID: 8386645 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1002 ZenodoArchiveConcept: 8386644
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)
ZenodoArchiveID: 7510031 ZenodoArchiveConcept: 7510030 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7510031 10.53832/edtechhub.0156 2129771:K9HHIYYP 2405685:B8SQMMBA
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/.
ZenodoArchiveID: 7598831 ZenodoArchiveConcept: 7598830 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.0285 4426965:SLRAXGQ5
Keywords: _r:AddedByZotZen; _r:ImportedToMyEducationEvidence

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.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.caeai.2022.100118 4804264:34NRK3GY 4804264:65UVKU5G 4804264:99ZEJ8Z3 4804264:C6AZIUGH
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.
openalex: W4308629203 KerkoCite.ItemAlsoKnownAs: 10.1016/j.joclim.2022.100186 2129771:2CP88CBV 5072953:E5467XAS
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.
openalex: W4309079633 KerkoCite.ItemAlsoKnownAs: 10.1016/j.envsci.2022.10.012 2129771:J3WRV9FH 5072953:5QI7GAJU
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

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.
KerkoCite.ItemAlsoKnownAs: 4804264:JTJ78WVI 4804264:WGTTGI6L
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

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.
KerkoCite.ItemAlsoKnownAs: 10.18535/ijsshi/v10i01.02 2129771:7XS9MNF3 2405685:5DI6FYSP 2486141:SRGMXZD2

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.
KerkoCite.ItemAlsoKnownAs: 10.2307/jj.1357298 4804264:9A36QEXF 4804264:ZLHHYTMK
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

Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans – TCPS 2 (2022) - Interagency Advisory Panel on Research Ethics Government of Canada (2023)
Last Modified: 2023-01-11

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)
KerkoCite.ItemAlsoKnownAs: 2129771:E8B7P8CC 5242966:6EYECHIE

Research proposal (2023)

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

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)
ZenodoArchiveID: 8276645 ZenodoArchiveConcept: 8276644 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.8276551 10.53832/opendeved.0294 2129771:239QF99G 2129771:4PD4PMAF 2129771:JR9QEAHC 2486141:L6EMMJAA
Keywords: _r:AddedByZotZen; _r:AddedByZotZen-Plus; _r:ImportedToMyEducationEvidence

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 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.

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 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.

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.

Evidence collection - Haßler, Björn (OpenDevEd, 2023)
ZenodoArchiveID: 7644266 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7644266 ZenodoArchiveConcept: 7644265
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.

Decentralized Information Platforms in Public Governance: Reconstruction of the Modern Democracy or Comfort Blinding? - Kud, Aleksandr (International Journal of Public Administration, 2023)
KerkoCite.ItemAlsoKnownAs: 10.1080/01900692.2021.1993905 4804264:QPRZLR66
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.
KerkoCite.ItemAlsoKnownAs: 2129771:HGU76IFB 2129771:ZBGCDHK7

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/
ZenodoArchiveID: 10302526 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1060 ZenodoArchiveConcept: 10302525
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

What can the education sector do to adapt to the forthcoming impacts of climate change? | Blog | Global Partnership for Education - Proctor, Jamie (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.

LLaMA: Open and Efficient Foundation Language Models - Touvron, Hugo; Lavril, Thibaut; Izacard, Gautier; Martinet, Xavier; Lachaux, Marie-Anne; Lacroix, Timothée; Rozière, Baptiste; Goyal, Naman; Hambro, Eric; Azhar, Faisal; Rodriguez, Aurelien; Joulin, Armand; et al. (arXiv, 2023)
We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train state-of-the-art models using publicly available datasets exclusively, without resorting to proprietary and inaccessible datasets. In particular, LLaMA-13B outperforms GPT-3 (175B) on most benchmarks, and LLaMA-65B is competitive with the best models, Chinchilla-70B and PaLM-540B. We release all our models to the research community.
arXiv:2302.13971 [cs]
Keywords: Computer Science - Computation and Language

Application of Multitemporal Landsat Data in Mapping of Saline Soil in Kano River Irrigation Scheme (KRIS) - Mohammed, Dahiru; Maina, M. M.; Audu, I.; Tudunwada, I. Y.; Nasiru, N. K.; Nasidi, N. M.; Umar, S. E. (FUDMA JOURNAL OF SCIENCES, 2023)
Soil salinization is becoming a more serious issue threatening agricultural production and the sustainable use of land resources. Crop roots are unable to absorb water from the soil when exposed to saline conditions. This study explored the potential of Landsat imagery in detecting and mapping saline soil in the Kano River Irrigation Scheme (KRIS). Samples of soil were collected from thirty-nine (39) sectors of the KRIS for ground truthing on 20th – 25th April, 2020. Electrical Conductivity (EC) of field samples were correlated with band values of satellite images and salinity indices in order to determine their relationship and assess their effectiveness in predicting soil salinity. Using a geospatial approach, the data was analyzed and maps of salt-affected areas were generated. ArcGIS 10.6 was used as the primary package for modeling and running functions. The result has shown that the EC values over the entire study area are greater than 1.3 dS/m. However, the mean value of EC is approximately 1.91 dS/m. The implication is that, most of the vegetables such as Onion, Carrot, and Beans grown in the KRIS will experience yield reduction without appropriate management practice as their threshold value has been exceeded.

Tackling Climate Change with Machine Learning - Rolnick, David; Donti, Priya L.; Kaack, Lynn H.; Kochanski, Kelly; Lacoste, Alexandre; Sankaran, Kris; Ross, Andrew Slavin; Milojevic-Dupont, Nikola; Jaques, Natasha; Waldman-Brown, Anna; Luccioni, Alexandra Sasha; Maharaj, Tegan; et al. (ACM Computing Surveys, 2023)
Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by ML, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the ML community to join the global effort against climate change.
KerkoCite.ItemAlsoKnownAs: 2129771:SM92Q9NL 2129771:SU4ITE8G

Where do teachers go, and where do they stay? - Lurvink, Anne-Fleur; Espinoza-Revollo, Patricia; Ali, Yusuf; Garrod, Oliver; Atherton, Paul; Mackintosh, Alasdair; Ramirez, Ana; Beoku-Betts, Iman; Haßler, Björn; Godwin, Katie (2023)

Solid waste recycling within higher education in developing countries: a case study of the University of Lagos - Mbama, Charles A.; Otegbulu, Austin; Beverland, Iain; Beattie, Tara K. (Journal of Material Cycles and Waste Management, 2023)
To create a truly circular economy requires a shift from the traditional view of waste disposal to one of resource management. This is particularly important in developing countries, where municipal waste generation is increasing, and efficient recovery of economic value from waste is rarely achieved. Conducted in the University of Lagos (UoL), Nigeria, this study investigated the efficiency of a recycling scheme with the goal of making recommendations to improve the process. UoL’s recycling policy centers around source segregation of waste into color-coded bins. Waste audit was carried out using the output method and interviews were conducted with staff from the waste management team to understand practices on campus. Substantial contamination of colored bins with non-target material was observed. Organics (30%), mixed plastics (28%) and paper (24%) were the most abundant materials, hence have the greatest potential for recovery, and income generation, if segregation rates could be improved. Despite its recycling policy and infrastructure, 99% of UoL waste was going to landfill. Poor policy implementation results in low recovery rates. Targeted waste reduction and increased material recovery would enhance efficiency. Improved awareness of recycling benefits, in addition to policy enforcement, could serve as tools to increase stakeholder participation in recycling.
KerkoCite.ItemAlsoKnownAs: 10.1007/s10163-022-01569-5 2129771:X8BH3929 2486141:GNQIVMDB
Keywords: Municipal solid waste; Recycling; Waste characterization

Speculative Futures on ChatGPT and Generative Artificial Intelligence (AI): A Collective Reflection from the Educational Landscape - Bozkurt, Aras; Xiao, Junhong; Lambert, Sarah; Pazurek, Angelica; Crompton, Helen; Koseoglu, Suzan; Farrow, Robert; Bond, Melissa; Nerantzi, Chrissi; Honeychurch, Sarah; Bali, Maha; Dron, Jon; et al. (Asian Journal of Distance Education, 2023)
While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are provided in an attempt to identify emerging themes and discuss their implications for education in the 21st century. Affordances of (using) AI in Education (AIEd) and possible adverse effects are identified and discussed which emerge from the narratives. It is argued that now is the best of times to define human vs AI contribution to education because AI can accomplish more and more educational activities that used to be the prerogative of human educators. Therefore, it is imperative to rethink the respective roles of technology and human educators in education with a future-oriented mindset.
Keywords: _r:ImportedToMyEducationEvidence; artificial intelligence (AI); artificial intelligence in education (AIEd); future educational perspectives; generative pre-trained transformer (GPT); natural language processing; speculative methodology; ⛔ No DOI found

Comparative Analysis of Comfort Temperature of School Children and Their Teachers - Munonye, Charles; Ngobili, Michael; Umeora, Chukwunonso; Oluchi, Ifebi; Maduka, Nkechi; Onwuzuligbo, Chijioke (Research & Development, 2023)
Thermal comfort in learning environments influences the student’s focus and learning productivity. This study aims to evaluate and compare the adaptive thermal comfort of schoolchildren and their teachers in naturally ventilated primary schools in some selected cities in Imo State Nigeria. To achieve these objectives, the study analyzed the data collected from 330 pupils and 44 teachers in six surveyed classrooms in two types of classroom buildings. The recorded data in the surveyed classrooms consisted of four environmental factors and two personal factors. At the same time, the subjects filled out the questionnaires asking them about thermal sensation and thermal preferences against the classrooms’ thermal requirements. The results of the measurements showed that the indoor mean air temperature, relative humidity, and air velocity were 29.1°C, 71.2%, and 0.19m/s, respectively. The mean thermal sensation votes of the children were +0.16 while that of their teachers was +0.58. The preferred temperatures were 27.4°C and 29.4°C for the schoolchildren and the teachers, respectively. Furthermore, the comfort range of the students was between 25.8°C - 31.6°C, and that of the teachers was between 28.0°C - 29.9°C. Based on the results of this study conducted in primary school buildings located in warm and humid climates, the thermal comfort perception of children and adults differ. This information will serve as a guide to professionals in the built environment, especially architects when designing primary school buildings in the warm and humid climates.
openalex: W4380897799 KerkoCite.ItemAlsoKnownAs: 10.11648/j.rd.20230401.15 2129771:J9TERRN6 5072953:FP8NL8Q5 5072953:ZFR6WRQW
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:comfort temperature; oa:sdg:13 Climate action; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; openalex:n:1; openalex:yes

Bitcoin price evolution versus energy consumption; trend analysis - Bejan, Crina Anina; Bucerzan, Dominic; Crăciun, Mihaela Daciana (Applied Economics, 2023)
Digital technology developments shape the behaviour, performances, standards of society, organizations and individuals imposing new ways of payments and new forms of money. In this environment in 2008 was developed a new type of currency, namely Bitcoin. Cryptocurrency, as this new form of money has been generically called, puts pressure on the traditional concept of money. Today, the economic value of cryptocurrencies is attested by their circulation and acceptance by user communities for trade. However, establishing this value raises debates in the literature. The research from this paper investigates and analyses if there is a strong enough connectedness between Bitcoin price evolution and energy consumption tendency (for mining), to influence Bitcoin value. Public data from January 2014 to July 2021 is used. An Artificial Neural Network (ANN) was used to study and predict the tendency of Bitcoin price and energy consumption. A comparison between the forecasting trend and the real trend (the evolution of energy consumption and Bitcoin price) was made. The conducted research starts with a quantitative one and ends with a qualitative one (trends). The obtained results show that qualitatively, there is a good correlation between monthly average values of BTC prices and electricity consumption for mining.
Publisher: Routledge _eprint: https://doi.org/10.1080/00036846.2022.2097194
Keywords: Artificial Neural Network (ANN); B23; C53; Cryptocurrency; E37; bitcoin; blockchain; energy consumption

Addressing Online Violence Against Women and Girls in the Commonwealth Africa Region: The Role of Bystanders - Secretariat, Commonwealth (Commonwealth iLibrary, 2023)
This report provides a summary of the phenomenon of online violence against women in various African Commonwealth membercountries and describes the legal frameworks and their limitations and the challenges these present. The report also makes suggestions on how totackle these issues in order to find solutions to the problem of online violence against women and girls.

Lenovo Focuses on Digital Inclusion with Launch of Bilingual Keyboard - Lenovo (Lenovo StoryHub, 2023)
Latest evolution of keyboard champions indigenous Māori culture, by enabling Aotearoa New Zealanders to communicate bilingually.
KerkoCite.ItemAlsoKnownAs: 4804264:DNT7ZZCQ
Keywords: Final_citation

(Adapting to the) Impacts of climate (change): Temperature, Light, Sound, Air - Haßler, Björn (Open Development & Education, 2023)
ZenodoArchiveID: 7823061 ZenodoArchiveConcept: 7823060 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.0287 2129771:CQKQ898B
Keywords: _comingsoon; _r:AddedByZotZen; _r:ImportedToMyEducationEvidence

The “Improving learning through classroom experience” study - Megogo Bokamba, Tania (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10257522 ZenodoArchiveConcept: 10257521 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1038 2129771:MBPHUZIR
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

The “Improving Learning Through Classroom Experience” Study - Villavicencio Peralta, Xuzel; Megogo Bokamba, Tania Elena (Open Development & Education, 2023)
The Improvement Learning Through Classroom Experience (ILCE) is a programme that focuses on the relationship between natural conditions and school learning outcomes
KerkoCite.ItemAlsoKnownAs: 2129771:B3X8LHIP

Do Large Language Models Understand Chemistry? A Conversation with ChatGPT - Castro Nascimento, Cayque Monteiro; Pimentel, André Silva (Journal of Chemical Information and Modeling, 2023)
Large language models (LLMs) have promised a revolution in answering complex questions using the ChatGPT model. Its application in chemistry is still in its infancy. This viewpoint addresses the question of how well ChatGPT understands chemistry by posing five simple tasks in different subareas of chemistry.
Publisher: American Chemical Society

A systematic review of ambient heat and sleep in a warming climate - Chevance, Guillaume; Minor, Kelton; Vielma, Constanza; Campi, Emmanuel; O’Callaghan-Gordo, Cristina; Basagaña, Xavier; Ballester, Joan; Bernard, Paquito (medRxiv (Cold Spring Harbor Laboratory), 2023)
Abstract Background Earlier reviews documented the effects of a broad range of climate change outcomes on sleep but have not yet evaluated the effect of ambient temperature. This systematic review aims to identify and summarize the literature on ambient temperature and sleep outcomes in a warming world. Methods For this systematic review, we searched online databases (PubMed, Scopus, JSTOR, GreenFILE, GeoRef and PsycARTICLES) together with relevant journals for studies published before February 2023. We included articles reporting associations between objective indicators of ambient temperature and valid sleep outcomes measured in real-life environments. We included studies conducted among adults, adolescents, and children. A narrative synthesis of the literature was then performed. Findings The present systematic review shows that higher outdoor or indoor ambient temperatures, expressed either as daily mean or night-time temperature, are negatively associated with sleep quality and quantity worldwide. The negative effect of higher ambient temperatures on sleep is stronger in the warmest months of the year, among vulnerable populations and in the warmest areas of the world. This result appears consistent across several sleep indicators and measures. Interpretation Although this work identified several methodological limitations of the extant literature, a strong body of evidence from both this systematic review and previous experimental studies converge on the negative impact of elevated temperatures on sleep quality and quantity. In absence of solid evidence on fast adaptation to the effects of heat on sleep, rising temperatures induced by climate change pose a planetary threat to human sleep and therefore human health, performance and wellbeing.
openalex: W4361213721 KerkoCite.ItemAlsoKnownAs: 10.1101/2023.03.28.23287841 2129771:WLNLZD67 5072953:BHS3W3ZK
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Teacher Deployment Algorithm - Inc, Fab; Hub, EdTech (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10458692 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1066 ZenodoArchiveConcept: 10458691
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Teacher Deployment Algorithm Training Presentation - Inc, Fab; Hub, EdTech (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10458679 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1065 ZenodoArchiveConcept: 10458678
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Addressing Online Violence Against Women and Girls in the Commonwealth Europe Region: The Role of Bystanders - Secretariat, Commonwealth (Commonwealth iLibrary, 2023)
This report contributes to the Commonwealth study on online violence against women and girls (OVAWG) and considers the prevalence of online violence and the role of bystanders as well as therelevant laws, institutions, policies and practices to address the problem in the European region of the Commonwealth, namely Cyprus, Malta and the United Kingdom of Great Britain (England, Scotland and Wales) and Northern Ireland (UK). The report highlights the complex nature of OVAWG and the difficulties associated with differences in terminology resulting in inconsistent data collection and varied legal responses across the European region of the Commonwealth. It also details the role of bystanders and their criminal or civil liability that, it argues, are relatively new considerations in the OVAWG space. An understanding of the nature and presentation ofOVAWG is required by bystanders, including the impact on victims to drive action.

How to develop and frame impactful review articles: key recommendations - Paré, Guy; Wagner, Gerit; Prester, Julian (Journal of Decision Systems, 2023)
KerkoCite.ItemAlsoKnownAs: 10.1080/12460125.2023.2197701 5440726:974IQMHR

Teacher-student relationship as an enabler of holistic learning for SEND students - Open Development & Education (2023)
The programme aims to understanding the effect of teacher-student relationships (TSRs) on the perception of self-efficacy of SEND students in Ugandan primary schools

Fiscal Policy Options for Resilient and Sustainable Development - Secretariat, Commonwealth (Commonwealth iLibrary, 2023)
Creating enabling environments and the capacity to access and generate multidimensional financing for development, climate change and enhanced resilience, remains challenging amid global pressures. One feasible approach is to revisit the criteria for financing allocation and the management of earmarked international transfers and debt relief. This paper focuses on fiscal policy options for resilient and sustainable development. An appropriate design and mix of national taxes would help raise revenues efficiently, reduce the cost of doing business and the barriers to exports, and encourage economic integration to counteract disruptions in global value chains.

Environmental, Social and Governance Practices for Value Creation in the Commonwealth - Secretariat, Commonwealth (Commonwealth iLibrary, 2023)
The concept of ESG is used to effectively assess longer-term environmental, social and governance risks and opportunities for firms. It has gained traction in recent years with the public sector and with international finance institutions. Three key challenges remain to ensure effective ESG sector outcomes and growth. First, the most common criticism of ESG is that it provides opportunities for companies to engage in ‘greenwashing’ – inflating their sustainability credentials while continuing business-as-usual. Second, the application of ESG lacks a clear or standardised definition or assessment methodology. This results in high uncertainty around scoring and impact. Finally, although ESG has been growing in all regions, the maturity of regulatory and policy frameworks is highly unequal.

Tackling coloniality and re-storying EdTech - Making your offering inclusive and socially just - Moustafa, Nariman; Adam, Taskeen (OpenDevEd, 2023)
ZenodoArchiveID: 7946855 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.0291 ZenodoArchiveConcept: 7946854
Keywords: _r:AddedByZotZen; _r:ImportedToMyEducationEvidence

EdTech Fellowship – Course Syllabus - Haßler, Björn; Walker, Hannah; Moustafa, Nariman; Macharia, Grace; Adam, Taskeen; Lurvink, Anne-Fleur; McBurnie, Chris (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/.
ZenodoArchiveID: 7844700 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.0288 ZenodoArchiveConcept: 7844699
Keywords: _comingsoon; _r:AddedByZotZen; _r:ImportedToMyEducationEvidence

Towards Improving the Accessibility and Usability of a Mobile-based Learning Management System for Blind Primary School Teachers - Kondoro, Aron; Maro, Salome; Mtebe, Joel; Proctor, Jamie; Komba, Aneth; Haßler, Björn (2023 IST-Africa Conference (IST-Africa), 2023)
Learning management systems (LMS) have been widely adopted to deliver learning materials for blended and online courses. Nonetheless, most of these systems suffer from accessibility and usability flaws that prevent visually impaired users from using them effectively. Despite existing studies evaluating the accessibility and usability of LMSs, very few of them have been done with actual visually impaired users. This study assessed the accessibility and usability of the Moodle LMS with 15 visually impaired teachers from 3 schools in 3 regions in Tanzania. The study used the Axe Dev automated tool and Concurrent Think Aloud Protocol usability testing in two phases. Results show that despite efforts of LMSs such as Moodle to follow accessibility and usability guidelines, the system still has problems such as insufficient colour contrast, links with indiscernible text, meaningless alternative texts, and invisible gaps in the content. Furthermore, this accessibility and usability can only be detected while testing with real users. Therefore, we recommend putting more effort into real-world user testing before such a system can be deployed to visually impaired school teachers.
ISSN: 2576-8581
Keywords: Accessibility.; Color; Learning Management System; Learning management systems; Object recognition; Protocols; Testing; Usability; User experience; Visually impaired

ChatGPT’s ability to classify virtual reality studies in cardiology - Nakaya, Yuichiro; Higaki, Akinori; Yamaguchi, Osamu (European Heart Journal - Digital Health, 2023)
We recently published a novel categorization of studies related to virtual reality (VR) in your journal, European Heart Journal—Digital Health.1 Our categorization is based on the usage of VR devices, where type A studies refer to those in which healthcare providers use VR devices and type B studies refer to those in which patients use them. Using this simple definition, we clarified the study trends and characteristics of the two research directions. In this study, we used a classical natural language processing (NLP) methodology, specifically ‘term frequency–inverse document frequency’ to develop an automatic abstract categorizer, which is available as a web application at https://ahigaki-vr-categorizer-str-app-gb1m6v.streamlit.app. Meanwhile, ChatGPT, a conversational artificial intelligence (AI) system launched by OpenAI, has had a significant impact on the field of NLP.2 Several proposed uses of ChatGPT as a scholarly tool, including systematic review literature searches, have already been suggested.3 Therefore, we sought to test whether ChatGPT can also perform the classification task that we previously conducted using traditional NLP methods.

Bridge or Barrier – Does generative AI contribute to more culturally inclusive higher education and research? - Atanasova, Dimitrinka (Bridge or Barrier – Does generative AI contribute to more culturally inclusive higher education and research?, 2023)
Whilst the ability of generative AI to produce text in English has been widely covered, the implications of its ability to translate and act as a cultural broker into English have received less att…
KerkoCite.ItemAlsoKnownAs: 2129771:758BHNAF 2405685:6SRCZ3LI 2486141:TJRDQHQD

Commonwealth Collaboration to Achieve The Sustainable Development Goals - Haßler, Björn (OpenDevEd, 2023)
ZenodoArchiveID: 7886836 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.0290 ZenodoArchiveConcept: 7886835
Keywords: _comingsoon; _r:AddedByZotZen; _r:ImportedToMyEducationEvidence

Introduction of an EdTech intervention to support learning of foundational skills in Sierra Leone: policy, teacher, and community perspectives - Lurvink, Anne-Fleur; Pitchford, Nicola J. (Frontiers in Education, 2023)
Background Like many other countries, Sierra Leone faces significant challenges with primary education resulting in many children leaving primary school without acquiring basic foundational skills. To address these challenges, an educational technology (EdTech) intervention was implemented in 20 primary schools located in two marginalized districts in Sierra Leone. While this EdTech intervention has been shown to raise learning outcomes, little is known about the impacts on the broader education ecosystem. This paper investigates how this EdTech intervention might address some the challenges faced with primary education in Sierra Leone, by examining policy, teacher, and community perspectives. Method A mixed methods approach was employed which included a policy mapping exercise, a survey of teachers training needs in supporting the development of foundational skills with grade 1 learners, an interview with teachers after they had delivered the EdTech intervention to garner their perceptions and experiences of using the technology in their class, and focus groups with teachers and other community members to gain insights into how the EdTech intervention had been received. Results Findings from the policy mapping exercise and quantitative data from the survey of teacher training needs were triangulated with qualitative data from the interviews and focus groups. Four key themes emerged relating to the effective and sustained use of this EdTech intervention to support the acquisition of foundational skills by primary school children in Sierra Leone: (1) the need for continued teacher professional development, (2) the use of English as the language of instruction, (3) access to the technology by children with special educational needs and disabilities (SEND), and (4) the importance of active community engagement in supporting the intervention. Discussion Collectively, results indicated that the EdTech intervention employed in this study aligned well to the education policy in Sierra Leone. Enhanced teacher training is needed, especially in using English as the language of instruction, and continued community engagement is essential for scaling the intervention effectively and ensuring that all children, including those with SEND, access the technology at primary school. These results have implications for other EdTech intervention deployed in resource-poor settings to enhance learning of foundational skills.

TCPD in Tanzania: Design-Based Implementation Research Cycle 1 Recommendations Policy Brief - Koomar, Saalim; Massam, Winston; Chachage, Kristeen; Anthony, Gervace; Mrope, Winifrida Jacob; Malibiche, Mustafa; Mutura, Emmanuel; Adam, Taskeen; Hennessy, Sara; Mtenzi, Frederick; Komba, Aneth; Mwakabungu, Fika; et al. (EdTech Hub, 2023)
MEWAKA (Mafunzo Endelevu kwa Walimu Kazini, or Teachers’ Continuous Professional Development (TCPD)) is a landmark teacher professional development programme being implemented by the Government of Tanzania. The current and ongoing research project, The Impact of a Tech-Supported, School-Based TPD Model on Learning Outcomes in Tanzania, using Design-Based Implementation Research (DBIR), closely aligned with the Tanzania National TCPD implementation plan (TIE, 2021), evaluates the initial implementation of MEWAKA at school level. This policy brief presents a summary of the key findings and recommendations from the first cycle of the DBIR carried out between September and December 2022. Keywords: TCPD; teacher professional development; design-based implementation research; primary education; tanzania; communities of learning An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7948836 ZenodoArchiveConcept: 7948835 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7948836 10.53832/edtechhub.0166 2405685:FICAJDR3 2405685:HUR5C9QN
Keywords: _r:AddedByZotZen

Sensor Sripboard (v1) - Haßler, Björn (Open Development & Education, 2023)
original-date: 2023-05-26T21:42:45Z
Keywords: _r:ImportedToMyEducationEvidence

Sensors OpenSCAD: An OpenSCAD library for common environmental sensors - Haßler, Björn (Open Development & Education, 2023)
original-date: 2023-05-29T22:31:22Z
Keywords: _r:ImportedToMyEducationEvidence

Investigating the Activity Levels of School Quality Assurance Officers in Sierra Leone - Beoku-Betts, Iman; Leh Wi Lan (EdTech Hub, 2023)
Since the launch of the Free Quality School Education (FQSE) Programme in 2018, the Sierra Leone Ministry of Basic and Senior Secondary Education (MBSSE) has prioritised the use of data for decision-making across several education reform programmes. Part of this vision has been to build systems to measure school quality through School Quality Assurance Officers (SQAOs) using data collection and feedback. This system includes using tools for teacher management, lesson observations, school improvement, and attendance monitoring. This report presents findings from qualitative research conducted in three districts in Sierra Leone. The aim is to provide the MBSSE and other partners with insights to understand the variation in and what is needed to maximise SQAO activity levels, increase principal engagement with digital tools, and support and promote quality visits to schools. An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7521375 ZenodoArchiveConcept: 7521374

Pico board for data-logging with power-management and micro-sd storage - Bablok, Bernhard; Haßler, Björn (Open Development & Education, 2023)
Pico board for data-logging with power-management and micro-sd storage
original-date: 2023-05-22T21:54:19Z
Keywords: _r:ImportedToMyEducationEvidence

Pico Datalogger with Integrated Power-Management - Haßler, Björn; Bablok, Bernhard (Open Development & Education, 2023)
Pico board for data-logging with power-management and micro-sd storage
original-date: 2023-05-22T21:54:19Z
Keywords: _r:ImportedToMyEducationEvidence

3D printed case for pico datalogger (rev1.00) - Haßler, Björn (Open Development & Education, 2023)
original-date: 2023-05-22T21:47:38Z
Keywords: _r:ImportedToMyEducationEvidence

Framing the News:From Human Perception to Large Language Model Inferences - del Barrio, David Alonso; Gatica-Perez, Daniel (Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023)
Identifying the frames of news is important to understand the articles' vision, intention, message to be conveyed, and which aspects of the news are emphasized. Framing is a widely studied concept in journalism, and has emerged as a new topic in computing, with the potential to automate processes and facilitate the work of journalism professionals. In this paper, we study this issue with articles related to the Covid-19 anti-vaccine movement. First, to understand the perspectives used to treat this theme, we developed a protocol for human labeling of frames for 1786 headlines of No-Vax movement articles of European newspapers from 5 countries. Headlines are key units in the written press, and worth of analysis as many people only read headlines (or use them to guide their decision for further reading.) Second, considering advances in Natural Language Processing (NLP) with large language models, we investigated two approaches for frame inference of news headlines: first with a GPT-3.5 fine-tuning approach, and second with GPT-3.5 prompt-engineering. Our work contributes to the study and analysis of the performance that these models have to facilitate journalistic tasks like classification of frames, while understanding whether the models are able to replicate human perception in the identification of these frames.
arXiv:2304.14456 [cs]
Keywords: Computer Science - Computation and Language; Computer Science - Human-Computer Interaction

The importance of theoretical positioning and the relevance of using bibliometrics for literature reviews - Rowe, Frantz; Kanita, Nada; Walsh, Isabelle (Journal of Decision Systems, 2023)
The theoretical positioning of a review is of the utmost importance in terms of its contribution to knowledge. This paper clarifies the significance of this design principle for different types of review i.e. for describing, understanding, explaining or testing purposes. Furthermore, new tools now mean that it is both possible and relevant for bibliometrics novices to use bibliometrics to support literature reviews. Applying the BIBGT method and combining two bibliometric techniques – co-citation analysis of references and bibliographic coupling of documents – can enhance the efficiency of the first three types of literature review. This paper provides examples of published works that apply BIBGT to each of these types of review and highlights the bibliometric software used. It concludes with a survey of promising applications for all researchers and makes recommendations for both experienced literature review researchers and literature review novices.
KerkoCite.ItemAlsoKnownAs: 10.1080/12460125.2023.2217646 2129771:NBJDCCYV 2405685:HGQ8Z5G8 2486141:AH357B5B
Keywords: _Added-ailr-2024

School: a second home for the children - Warwocki, Pawel (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10257503 ZenodoArchiveConcept: 10257502 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1037 2129771:NW5NJAGB
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Teacher Retention and Mobility in Sierra Leone: What factors contribute to teachers' motivation to stay or leave schools? - Lurvink, Anne-Fleur; Mansaray, Kabiru; Kamara, Josephine; Khanu, AlimamyJames; Cameron, Emma; Godwin, Katie; Haßler, Björn (EdTech Hub, 2023)
An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7966434 ZenodoArchiveConcept: 7966433 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.7966434 10.53832/edtechhub.0168 2405685:CQ8JNCH8
Keywords: _r:AddedByZotZen

Style Guide - The HP Cambridge Partnership for Education EdTech Fellowship (Open Development & Education, 2023)
ZenodoArchiveID: 8052087 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.0292 ZenodoArchiveConcept: 8052086
Keywords: _comingsoon; _r:AddedByZotZen; _r:ImportedToMyEducationEvidence

The importance of climate-friendly school buildings in Africa - Nambatya, Mauricia (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10257528 ZenodoArchiveConcept: 10257527 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1039 2129771:RTMQSBV6
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

National Digital Literacy Framework (National Information Technology Development Agency, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:UQP4CVV8 5242966:Q6ZU5C3F

Sensorboard for use with Raspberry Pi GPIO / Raspberry Pi Zero - Haßler, Björn (Open Development & Education, 2023)
original-date: 2023-07-02T18:34:24Z KerkoCite.ItemAlsoKnownAs: 2129771:ESH93VPP 2129771:MTELHIJ6
Keywords: _r:ImportedToMyEducationEvidence

SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot - Frantar, Elias; Alistarh, Dan (Proceedings of the 40th International Conference on Machine Learning, 2023)
We show for the first time that large-scale generative pretrained transformer (GPT) family models can be pruned to at least 50% sparsity in one-shot, without any retraining, at minimal loss of accuracy. This is achieved via a new pruning method called SparseGPT, specifically designed to work efficiently and accurately on massive GPT-family models. We can execute SparseGPT on the largest available open-source models, OPT-175B and BLOOM-176B, in under 4.5 hours, and can reach 60% unstructured sparsity with negligible increase in perplexity: remarkably, more than 100 billion weights from these models can be ignored at inference time. SparseGPT generalizes to semi-structured (2:4 and 4:8) patterns, and is compatible with weight quantization approaches. The code is available at: https://github.com/IST-DASLab/sparsegpt.
ISSN: 2640-3498

Conducting a systematic review in six weeks – experiences with and evaluation of an intensive team pilot project - Ames, Heather; Kornør, Hege; Evensen, Line Holtet; Lidal, Ingeborg Beate; Hafstad, Elisabet; Hestevik, Christine Hillestad; Jardim, Patricia Sofia Jacobsen; Hval, Gyri (Research Square (Research Square), 2023)
Abstract Background Evidence synthesis organisations worldwide are trying to meet commissioners’ need for rapid responses to their evidence synthesis commissions. In this project we piloted an intensive process, working to complete an evidence synthesis within six-weeks, rather than the standard lead time of 4-6 months. There were three objectives: 1) To develop a plan for and conduct an evidence synthesis in six weeks or less (“intensive pilot”) 2) To register time used for the intensive pilot 3) To evaluate the intensive pilot process and identify barriers, facilitators, learning points, areas for improvement or future implementation ideas. Methods The two project teams divided the pilot into three phases: Pre-planning, planning and intensive. During the pre-planning phase commissions were identified and researchers were recruited. During the planning phase the team interacted with the commissioner, completed the evidence synthesis protocol, and planned how they were going to work together during the intensive phase. During the intensive phase the team implemented their plan and completed the evidence synthesis they were assigned. We held reflective meetings and kept evaluator notes throughout the process. Results The team was able to achieve the project objectives. They developed and implemented a plan for conducting an evidence synthesis in six weeks. They registered their times use. During the pilot process the team reflected on and evaluated the process itself to identify barriers, facilitators, learning points, areas for improvement or future implementation ideas. The involved researchers preferred working in this intensive way. They felt that time use was more effective, and they were more focused. However, there are implications for project leadership and implementation that should be considered before implementing an intensive approach in future evidence synthesis projects. Conclusions The involved researchers preferred working intensively with one evidence synthesis over being involved with many projects at the same time. They felt that time use was more effective, and they were able to complete the tasks in a focused way. However, there are several implications for project management, leadership and further implementation that should be considered before implementing an intensive approach in future evidence syntheses.
openalex: W4383371218 KerkoCite.ItemAlsoKnownAs: 10.21203/rs.3.rs-3058440/v1 2129771:27XQHZ3N 5072953:4EKB8SEB
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Mitigating errors and misconceptions among Grade 11 learners in algebra through error analysis - Ndemo, Zakaria; Ndemo, Osten (African Journal of Teacher Education and Development, 2023)

Possible Retrofit Interventions for Classrooms (Infographic) - Toyinbo, Oluyemi; Villavicencio Peralta, Xuzel Ana; Megogo Bokamba, Tania Elena (Open Development & Education, 2023)
The infographic presents different options explored so far for possible modifications that could be implemented in classrooms in Tanzania. The interventions chosen will depend on the conditions of each classroom studied in the ‘Improving Learning Conditions through Classroom Experience’ programme.
KerkoCite.ItemAlsoKnownAs: 2129771:I6HJ2EJ3

Rensvandeschoot/software-overview-machine-learning-for-screening-text - schoot, Rens van de (2023)
The repository aims to create an overview and comparison of software used for systematically screening large amounts of textual data using machine learning.
original-date: 2022-02-17T18:40:05Z KerkoCite.ItemAlsoKnownAs: 2129771:DBXDY7RW 2405685:H75KUGV8 2486141:DYRPSJRR
Keywords: _Added-ailr-2024; active-learning; machine-learning; software-development; systematic-reviews

A Raspberry Pi Zero-based Basestation for environmental data collection - Haßler, Björn; Mansour, Hassan; Mahamane, Amina (Open Development & Education, 2023)
original-date: 2023-07-15T20:50:01Z
Keywords: _r:ImportedToMyEducationEvidence

Deployment of Offline Learning Management Systems: Comparing the Performance of Selected Micro-servers in Tanzania - Maro, Salome; Kondoro, Aron; Haßler, Björn; Mtebe, Joel; Proctor, Jamie (Journal of Learning for Development, 2023)
Low-powered mobile devices such as Raspberry Pis and tablets can be used as micro-servers to implement offline Learning Management Systems (LMS). Despite their potential, especially for low-income countries, such as Tanzania, no research is available detailing the affordances of these devices for supporting LMS features. This study investigated the suitability of various low-cost micro-servers for deploying LMSs. It compared the performance of the Raspberry Pi, Android tablet, and Chromebook in terms of LMS benchmarking, response time, and resource utilisation. Results showed all devices had sufficient hardware resources to support the LMS, however, software stacks, I/O performance, and platform optimisations affected the micro-servers' performance. The Chromebook had the best performance in terms of response time, followed by the Raspberry Pi and tablets. In terms of cost, the Raspberry PI was the cheapest option. The installation process for tablets was more cumbersome than the other devices, meaning the devices with better tooling and a more conventional software stack were a better option for deploying offline micro-servers.
Number: 2

Llama 2: Open Foundation and Fine-Tuned Chat Models - Touvron, Hugo; Martin, Louis; Stone, Kevin; Albert, Peter; Almahairi, Amjad; Babaei, Yasmine; Bashlykov, Nikolay; Batra, Soumya; Bhargava, Prajjwal; Bhosale, Shruti; Bikel, Dan; Blecher, Lukas; et al. (arXiv, 2023)
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. Our models outperform open-source chat models on most benchmarks we tested, and based on our human evaluations for helpfulness and safety, may be a suitable substitute for closed-source models. We provide a detailed description of our approach to fine-tuning and safety improvements of Llama 2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs.
arXiv:2307.09288 [cs]
Keywords: Computer Science - Artificial Intelligence; Computer Science - Computation and Language

Evidence collection - Haßler, Björn (OpenDevEd, 2023)
ZenodoArchiveID: 8167411 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved. ZenodoArchiveConcept: 8167410
Keywords: _comingsoon; _r:AddedByZotZen; _r:ImportedToMyEducationEvidence

Global Education Monitoring Report 2023: Technology in education: A tool on whose terms? - GEM Report UNESCO (GEM Report UNESCO, 2023)
KerkoCite.ItemAlsoKnownAs: 10.54676/UZQV8501 4804264:XMSIAXMR
Keywords: Final_citation

Global Education Monitoring Report 2023: Technology in education: A tool on whose terms? - GEM Report UNESCO (GEM Report UNESCO, 2023)

Review Finds States Slow to Give Guidance on How Teachers, Schools Should Use AI - Lee, Bree Dusseault & Justin (2023)
Dusseault & Lee: Other than Hawaii's, no education department has publicly focused on policies governing artificial intelligence in the classroom.
KerkoCite.ItemAlsoKnownAs: 2486141:4AZIT72H

‘It’s destroyed me completely’: Kenyan moderators decry toll of training of AI models - Rowe, Niamh (The Guardian, 2023)
Employees describe the psychological trauma of reading and viewing graphic content, low pay and abrupt dismissals
KerkoCite.ItemAlsoKnownAs: 2486141:NHJ56NLX
Keywords: Artificial intelligence (AI); ChatGPT; Computing; Kenya; Meta; OpenAI; Technology

Perspectives on the pedagogical use of technology - Open Development & Education (2023)
ARM is a leading semiconductor company, which supports other producers (such as Apple and Samsung) as an original equipment manufacturer in developing devices like phones and tablets. Additionally, they support manufacturers in exploring new business areas, including education.

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

runnio (Open Development & Education, 2023)
API access to runn.io
original-date: 2023-08-24T10:24:42Z

DARWIN Series: Domain Specific Large Language Models for Natural Science - Xie, Tong; Wan, Yuwei; Huang, Wei; Yin, Zhenyu; Liu, Yixuan; Wang, Shaozhou; Linghu, Qingyuan; Kit, Chunyu; Grazian, Clara; Zhang, Wenjie; Razzak, Imran; Hoex, Bram (arXiv, 2023)
Emerging tools bring forth fresh approaches to work, and the field of natural science is no different. In natural science, traditional manual, serial, and labour-intensive work is being augmented by automated, parallel, and iterative processes driven by artificial intelligence-based experimental automation and more. To add new capabilities in natural science, enabling the acceleration and enrichment of automation of the discovery process, we present DARWIN, a series of tailored LLMs for natural science, mainly in physics, chemistry, and material science. This series relies on open-source LLM, incorporating structured and unstructured scientific knowledge from public datasets and literature. We fine-tuned the models using over 60,000 instruction data points, emphasizing factual correctness. During the fine-tuning, we introduce the Scientific Instruction Generation (SIG) model, automating instruction generation from scientific texts. This eliminates the need for manual extraction or domain-specific knowledge graphs and efficiently injects scientific knowledge into the model. We also explore multi-task training strategies, revealing interconnections between scientific tasks. DARWIN series not only achieves state-of-the-art results on various scientific tasks but also diminishes reliance on closed-source AI models. Our research showcases the ability of LLM in the scientific domain, with the overarching goal of fostering prosperity within the broader AI for science community.
arXiv:2308.13565 [cond-mat, physics:physics]
Keywords: Computer Science - Computation and Language; Condensed Matter - Materials Science; Physics - Applied Physics

A Critical Analysis of the What3Words Geocoding Algorithm - Arthur, Rudy (arXiv.org, 2023)
What3Words is a geocoding application that uses triples of words instead of alphanumeric coordinates to identify locations. What3Words has grown rapidly in popularity over the past few years and is used in logistical applications worldwide, including by emergency services. What3Words has also attracted criticism for being less reliable than claimed, in particular that the chance of confusing one address with another is high. This paper investigates these claims and shows that the What3Words algorithm for assigning addresses to grid boxes creates many pairs of confusable addresses, some of which are quite close together. The implications of this for the use of What3Words in critical or emergency situations is discussed.

Akogun, O.2023 Co-Construction of a Coherent and Rigorous Body of Research Evidence for Education in Conflict and Crises Settings - Adesina, Adedoyin (Paper presentation. UKFIET Conference, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:73X7A48X 2129771:LPLKMUZW 2486141:54AMJIAQ

Applying the science of learning to EdTech evidence evaluations using the EdTech Evidence Evaluation Routine (EVER) - Kucirkova, Natalia; Brod, Garvin; Gaab, Nadine (npj Science of Learning, 2023)
Number: 1 Publisher: Nature Publishing Group KerkoCite.ItemAlsoKnownAs: 10.1038/s41539-023-00186-7 4804264:4CXRNIS5 4804264:WQ3SZGFA
Keywords: Education; Final_citation; Human behaviour; Policy; existing

ILCE: Trialling environmental sensors in Tanzanian Schools – First pilot - Open Development & Education - Haßler, Björn; Peralta, Xuzel Villavicencio; Toyinbo, Oluyemi; Toyinbo, Xuzel Villavicencio Peralta and Oluyemi Toyinbo, Björn Haßler, Xuzel Villavicencio Peralta and Oluyemi, Björn Haßler (2023)
Funded by the UK Foreign, Commonwealth and Development Office, the Improving Learning Through Classroom Experience (ILCE) programme focuses on investigating whether modification of the built environment (temperature, light intensity, and acoustics) can positively impact the classroom experience to improve learning. This blog post is about the first pilot, where we tested the sensors in preparation
KerkoCite.ItemAlsoKnownAs: 2129771:4LNSAIW8 2486141:ZY9ZRWMD

ILCE: Conducting surveys in Tanzanian Schools – Second pilot - Haßler, Björn; Villavicencio Peralta, Xuzel; Toyinbo, Oluyemi (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
ZenodoArchiveID: 8402861 ZenodoArchiveConcept: 8402860 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1021 2129771:EASK7UAW
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

ILCE: Trialling environmental sensors in Tanzanian Schools – First pilot - Hassler, Bjoern; Villavicencio Peralta, Xuzel; Toyinbo, Oluyemi (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
ZenodoArchiveID: 8402851 ZenodoArchiveConcept: 8402850 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1019 2129771:IT8RD5H2
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

ILCE: Trialling environmental sensors in Tanzanian Schools – First pilot - Hassler, Bjoern; Villavicencio Peralta, Xuzel; Toyinbo, Oluyemi (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
ZenodoArchiveID: 8402855 ZenodoArchiveConcept: 8402854 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1020 2129771:HHH8MWN3
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Trialling environmental sensors in Tanzanian schools – first pilot - Toyinbo, Oluyemi; Villavicencio, Xuzel; Haßler, Björn (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10257287 ZenodoArchiveConcept: 10257286 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1035 2129771:NFNWZX3A
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Conducting surveys in Tanzanian schools – Second pilot - Villavicencio, Xuzel; Haßler, Björn; Toyinbo, Oluyemi (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10257420 ZenodoArchiveConcept: 10257419 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1036 2129771:EZ9EFDFS
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Improving learning through classroom experience in Tanzania - Pattni, Ravina; Villavicencio Peralta, Xuzel; Toyinbo, Oluyemi; Proctor, Jamie; Forbes, Catriona; Atherton, Paul; Haßler, Björn (Laterite, Fab Inc, Open Development & Education, 2023)
This conference paper was delivered at UKFIET 2023 (Oxford). IT was a joint presentation between Laterite, Fab Inc, and Open Development & Education, as well as FCDO.
ZenodoArchiveID: 10044115 ZenodoArchiveConcept: 10044114 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1025 2129771:ICBNFIUW 2129771:JNMJ2AAW 2129771:U5GXRKUD
Keywords: _r:AddedByMyEducationEvidence

Social Justice and Diversity in Zambia: The Role of Civic Education and Teachers - Chivunda, Kaumba; Kabombwe, Yvonne; Mwanza, Christine; Mupeta, Sydney (Asian Journal of Education and Social Studies, 2023)
This article explores the role civic education plays in social justice and diversity in Zambia from the civic education teacher’s perspective as well as establish the extent to which teacher’s themselves are actively engaged in social justice and diversity. Predicated on the fundamental role civic education plays in teaching and promoting diversity and social justice, it is highly expected that civic education teachers should be the lodestars in undertaking this activity. It is noted that teachers of civic education can bring about social justice in society; this can be achieved through active participation in local communities and consolidating the teaching of democracy, human rights and promotion of participation within people’s local communities and global level for social justice. Therefore, the teaching for diversification is of great significance in the delivery of Civic Education in Zambia both at teacher training and secondary school level. Anchored on the explanatory design as a methodological bedrock, this study found that teachers where not actively engaged with issues of diversity. The study concludes that there is little to no engagement among teachers in diversity and in bringing about social change especially on matters that affect the wider community. This is partly attributed to the impractical nature in which Civic Education is delivered at secondary school or tertiary level. The study recommends that different approaches to the teaching of civic education must be introduced in the civic education curriculum.
Num Pages: 9 Number: 4 KerkoCite.ItemAlsoKnownAs: 2129771:MU56QNIZ 2129771:N73KHN5I 2129771:SRRXRV2D

HP Cambridge Partnership for Education EdTech Fellowship - Open Development & Education (2023)
Educational technology has the potential to significantly improve the effectiveness, sustainability, and equity of education worldwide, including in low- and middle-income countries. But to achieve these benefits while avoiding its risks and potential pitfalls, strong leadership is required in leading the incorporation of EdTech into education systems.

Identifying gaps on health impacts, exposures, and vulnerabilities to climate change on human health and wellbeing in South America: a scoping review - Palmeiro-Silva, Yasna K.; Lescano, Andrés G.; Flores, Elaine C.; E, Yamileth Astorga; Rojas, Luis; Chavez-Hermosilla, Mario; Mora-Rivera, Wendel; Hartinger, Stella M. (The Lancet Regional Health - Americas, 2023)
There is an important gap in regional information on climate change and health, limiting the development of science-based climate policies in South American countries. This study aims to identify the main gaps in the existing scientific literature on the impacts, exposure, and vulnerabilities of climate change on population health. A scoping review was performed guided by four sub-questions focused on the impacts of climate change on physical and mental health, exposure and vulnerability factors of population to climate hazards. The main findings showed that physical impacts mainly included infectious diseases, while mental health impacts included trauma, depression, and anxiety. Evidence on population exposure to climate hazards is limited, and social determinants of health and individual factors were identified as vulnerability factors. Overall, evidence on the intersection between climate change and health is limited in South America and has been generated in silos, with limited transdisciplinary research. More formal and systematic information should be generated to inform public policy.None.
openalex: W4386122878 KerkoCite.ItemAlsoKnownAs: 10.1016/j.lana.2023.100580 2129771:34CUXJBZ 5072953:9I4GQHIZ
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

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

KS-TVET Life Skills Course Progress Report - El-Serafy, Yomna; Klune, Christopher (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
ZenodoArchiveID: 8413609 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1022 ZenodoArchiveConcept: 8413608
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Impact of Technology-Aided Activity-Based Learning Approaches on Learning Outcomes: Experimental Evidence from Community Schools in Rural Zambia - Hoop, Thomas; Ring, Hannah; Siwach, Garima; Dias, Paula; Tembo, Gelson; Rothbard, Victoria; Toungui, Anaïs (Journal of Research on Educational Effectiveness, 2023)

Revolutionizing Text Data Analysis with AI Autocoding with NVivo - Lumivero (Lumivero, 2023)
As the original AI qualitative data analysis software, NVivo has fine-tuned the autocoding feature that lets researchers conduct text data analysis with AI to detect and code themes and sentiments.
KerkoCite.ItemAlsoKnownAs: 2129771:EEGIN4JK 2405685:UNJD6IY6 2486141:PA4EZZ36

21st century learning in Zambia - Open Development & Education - Open Development & Education (2023)
A school-based teacher professional development programme initiated in Zambia around 2010 and later expanded to other countries such as Zambia, Kenya, Rwanda, and Sierra Leone.

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

KS-TVET Life Skills Course: Validation Report - El-Serafy, Yomna; Klune, Christopher (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
ZenodoArchiveID: 10047822 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1026 ZenodoArchiveConcept: 10047821
Keywords: _comingsoon; _r:AddedByMyEducationEvidence

Evidence collection - Understanding quality characteristics of EdTech interventions and implementation for disadvantaged pupils - Haßler, Björn (Open Development & Education, 2023)
An output of the Open Development & Education, https://.opendeved.net/
ZenodoArchiveID: 10035155 ZenodoArchiveConcept: 10035154 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1024 2129771:2VTH824V
Keywords: _comingsoon; _forthcoming; _r:AddedByMyEducationEvidence

Perplexity AI: Review, Advantages & Guide (2023) - Aayush (Elegant Themes Blog, 2023)
AI assistants are changing how we interact with technology, helping us with tasks like answering questions and creating content. Google and Bing have already added AI like Bard and Bing Chat to their platforms. However, there’s a new player in the market: Perplexity AI. In this post, we will look at Perplexity AI and its […]
KerkoCite.ItemAlsoKnownAs: 2129771:JJCWIY7C 2405685:YMCJBWYJ 2486141:7S6I2AFZ

bwallace/abstrackr-web - wallace, byron (2023)
web-based citation screening tool
original-date: 2010-11-23T17:57:59Z KerkoCite.ItemAlsoKnownAs: 2129771:QMER44B4 2405685:E5ERD9TQ 2486141:AQSINRND