Multimedia - Haßler, Björn (Web Design Guidelines for Low Bandwidth, 2007)
EdTechHub.ItemAlsoKnownAs: 2129771:FUPRKWMG
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence

Rich-media web streaming - Haßler, Björn (ICTP-SDU, Trieste, 2007)
EdTechHub.ItemAlsoKnownAs: 2129771:IP4TH2E4
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence; ⛔ No DOI found

Sustainability for Open Educational Resources - Haßler, Björn (UK National Commission to UNESCO, 2007)
EdTechHub.ItemAlsoKnownAs: 2129771:4SBSTV83
Keywords: Author:Haßler; Author:OpenDevEd; Björn-CV-OECS; _r:ImportedToMyEducationEvidence

The future of information technology for education and e-learning - Haßler, Björn (British Standards Institution, 2007)
EdTechHub.ItemAlsoKnownAs: 2129771:93LS4DMS
Keywords: Author:Haßler; Author:OpenDevEd; Björn-CV-OECS; _r:ImportedToMyEducationEvidence

Broadening access to science events by using the internet - Haßler, Björn (Geophysical Research Abstracts, 2006)
EdTechHub.ItemAlsoKnownAs: 2129771:Y8MH8R3M
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence; ⛔ No DOI found

Low Bandwidth Multimedia Streaming - Haßler, Björn (ICTP-SDU, Trieste, 2006)
EdTechHub.ItemAlsoKnownAs: 2129771:VX28EEZH
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence; ⛔ No DOI found

Horizontal refraction of gravity waves in a global ray tracing experiment - Haßler, Björn; Warner, CD (Geophysical Research Abstracts, 2006)
EdTechHub.ItemAlsoKnownAs: 2129771:GA585NVN
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence; ⛔ No DOI found

The African Institute for Mathematical Sciences (2004)
EdTechHub.ItemAlsoKnownAs: 2129771:ZPZNMWTW
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence

The experience of fresher students in mathematics diagnostic testing (MSOR) - Haßler, Björn; Atkinson, Richard; Quinney, Douglas; Barry, Mike (MSOR Connections, 2004)
KerkoCite.ItemAlsoKnownAs: 10.11120/msor.2004.04030017 2129771:S6RTCMZZ
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence

Preliminary estimates of missing force magnitudes - Haßler, Björn; Warner, CD; McIntyre, ME (2004)
EdTechHub.ItemAlsoKnownAs: 2129771:BMI29EQC
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence; ⛔ No DOI found

The experience of fresher students in mathematics diagnostic testing (Symposium on Undergraduate Mathematics Teaching) - Barry, Mike; Quinney, Douglas; Haßler, Björn; Atkinson, Richard; Hirst, Christine (2003)
KerkoCite.ItemAlsoKnownAs: 2129771:IEX5VPZX
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence

Case studies in Diagnostic Testing for Maths - Atkinson, R.; Barry, M.; Haßler, Björn; Quinney, D. (Diagnostic Testing for Maths, 2003)
"Diagnostic Testing for Maths" (2003), LTSN MathsTEAM, MSOR connections, Vol 3, No 2.
EdTechHub.ItemAlsoKnownAs: 2129771:EXDYIMFR
Keywords: Author:Haßler; Author:OpenDevEd; Björn-CV-OECS; _r:ImportedToMyEducationEvidence

The stratospheric circulation in the tropics - Haßler, Björn (University of Cambridge, 2002)
EdTechHub.ItemAlsoKnownAs: 2129771:8SR4XSBE
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence

Action research on diagnostic testing and student support (ARDTS, mathstore.ac.uk) - Haßler, Björn; Atkinson, Richard; Quinney, Douglas; Barry, Mike (2002)
EdTechHub.ItemAlsoKnownAs: 2129771:26L5MWGG
Keywords: Author:Haßler; Author:OpenDevEd; Björn-CV-OECS; _r:ImportedToMyEducationEvidence

The Proposal for a LTSN Project Grant - Scribe, Richard Atkinson Birmingham-; Haßler, Björn; Quinney, Douglas (Proceedings of the Undergraduate Mathematics Teaching, 2001)
R. Atkinson, M. Barry, B. Haßler, D. Quinney, “A research proposal on diagnostic testing”, Proceedings of the Undergraduate Mathematics Teaching Conference 2001, Birmingham University.
EdTechHub.ItemAlsoKnownAs: 2129771:QABR396C
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence

On the Robustness of the Brewer-Dobson Circulation in the Tropical Stratosphere - Haßler, Björn; McIntyre, M (Proceedings of the Meteorology at the Millennium 150th Anniversary Conference of the Royal Meteorological Society, 2000)
EdTechHub.ItemAlsoKnownAs: 2129771:NW7PHHRU
Keywords: Author:Haßler; Author:OpenDevEd; _r:ImportedToMyEducationEvidence; ⛔ No DOI found

Impacts of Extreme Weather Events on Education Outcomes: A Review of Evidence - Venegas Marin, Sergio; Schwarz, Lara; Sabarwal, Shwetlena (The World Bank Research Observer, 2024)
Extreme weather events are increasingly disrupting schooling. Yet, these are underrepresented in the climate change literature. Of 15 review articles on the economic impacts of climate change published since 2010, only three mention the impacts of climate change on education. We review available literature on the effects of weather extremes on education. We outline key pathways through which these events impact education outcomes, as well as the magnitude of those impacts. Evidence implies a significant and adverse relationship between heat and learning. Studies suggest surpassing a high temperature threshold makes learning difficult and results in learning losses. Across studies, each additional day subject to extreme heat reduces learning. Tropical cyclones, floods, and wildfires precipitate school closures, which halt learning. Evidence suggests that one day of school closures leads to one day of learning lost. Weather extremes also negatively impact education outcomes through health, nutrition, poverty, and fragility, among other distal pathways. We discuss the implications of this evidence for policy, including the need to adapt education systems to climate change. Mitigation and adaptation are both urgently needed as extreme weather events become more frequent and severe in the context of climate change.

Online tutoring works: Experimental evidence from a program with vulnerable children - Gortazar, Lucas; Hupkau, Claudia; Roldán-Monés, Antonio (Journal of Public Economics, 2024)
We provide evidence from a randomized controlled trial on the effectiveness of a novel, 100-percent online math tutoring program, targeted at secondary school students from highly disadvantaged neighborhoods. The intensive, eight-week-long program was delivered in groups of two students during after-school hours, mostly by qualified math teachers. The intervention significantly increased standardized test scores (+0.26 SD) and end-of-year math grades (+0.49 SD), while reducing the probability of repeating the school year. The intervention also raised aspirations, as well as self-reported effort at school. The two-on-one design allows us to significantly reduce costs and improve scalability, while showing similar results as one-on-one tutoring programs.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.jpubeco.2024.105082 4804264:KTVPY99P
Keywords: Child outcomes; Final_citation; Mathematics; Mentoring; Online tutoring; RCT

South Sudan announces schools closure as heatwave deepens (Sudan Tribune, 2024)
March 16, 2024 (JUBA) – South Sudan on Saturday announced an indefinite closure of all schools due to heatwaves characterized by very high temperatures in recent days. The Health minister, Yolanda Awel Deng said the heatwave could last for two weeks, with temperatures ranging between 41 degrees and 45 degrees Celsius. “The government has decided to take the following measures, one, close down all schools with effect from March 18, two, during the closure of the schools, parents are advised to stop their children from playing outdoors for prolonged periods and they should also monitor children, especially the young ones, for signs of heat exhaustion and heatstroke,” Awel told reporters in the capital, Juba. Heatwaves, the minister said, can acutely impact large populations for short periods, often trigger public health emergencies, and result in excess mortality and cascading socioeconomic impacts like loss of work capacity and labor productivity and can also cause loss of health service delivery capacity. Awel said the disease surveillance department at the national Health ministry has put a system in place meant to detect and respond to cases, adding there are already cases of death related to excessive heat being reported in South Sudan. The Undersecretary in the Ministry of Environment, Joseph Africano Bartel said climate change is becoming a global phenomenon in which South Sudan will experience a lot of temperature fluctuations. Africano advised the public to take precaution against rising heatwaves in the country. He urged developed countries to cut emissions, saying South Sudan will soon experience climate change impact, including heavy rains, floods and droughts. A circular from the Environment and Forestry ministry warns of likely illness and deaths among adult and children should they be exposed to the high heatwaves. According to the World Meteorological Organization (WMO), a heatwave can be defined as a period where local excess heat accumulates over a sequence of unusually hot days and nights. As such, heatwaves amplify many risks, such as health-related or economic risks, including increased human mortality, drought and water quality, wildlife and smoke, power shortages and agricultural losses.
KerkoCite.ItemAlsoKnownAs: 2129771:XG4BC8Z7 5072953:VHMEVJNH
Keywords: _z:class:countries

South Sudan shutters all schools as it prepares for an extreme heat wave - Machol, Deng (AP News, 2024)
South Sudan’s government is closing down all schools starting Monday as the country prepares for a wave of extreme heat expected to last two weeks.
Section: World News KerkoCite.ItemAlsoKnownAs: 2129771:F98WG4DI 5072953:MVVSI96A
Keywords: _z:class:countries

UPDATE: The government of the republic of South Sudan has ordered the closure of all schools starting from Monday, 18th, March 2024 due to the high temperatures. According to the country's health ministry, there are reported cases of death resulting from high heat #NTVNews https://t.co/8s6Vr71yK1 - NTV UGANDA [@ntvuganda] (Twitter, 2024)
KerkoCite.ItemAlsoKnownAs: 2129771:SJQKPD99 5072953:449RER6Y
Keywords: _z:class:countries

Evidence collection: Effects of climate change and environmental degradation on learning in LMICs - Open Development & Education (2024)

Social Choice, Agency, Inclusiveness and Capabilities - Comim, Flavio; Anand, P. B.; Fennell, Shailaja (Cambridge University Press, 2024)
The capability approach is a versatile framework rooted on issues of justice and multidimensional assessment of quality of life developed in the 1980s as an alternative approach to prevailing mainstream development ideas focused narrowly on economic development. Most closely associated with the work of Amartya Sen, it has become of great interest to development scholars from a variety of different disciplines. Much has already been done exploring the conceptual foundations of the capability approach and discussing Sen's contribution to the field, but few books have explored the links between social choice (another field with rich contributions by Sen) and human development issues. Featuring many of the world's leading experts on social choice theory and capability indicators, Social Choice, Agency, Inclusiveness and Capabilities combines these interrelated themes into one volume and fully explores the relevance of social choice to human development.
Google-Books-ID: PBrxEAAAQBAJ
Keywords: Business & Economics / Development / Economic Development; Social Science / Sociology / General

AI Insights: A Case Study on Utilizing ChatGPT Intelligence for Research Paper Analysis - De Silva, Anjalee; Wijekoon, Janaka L.; Liyanarachchi, Rashini; Panchendrarajan, Rrubaa; Rajapaksha, Weranga (arXiv, 2024)
This paper discusses the effectiveness of leveraging Chatbot: Generative Pre-trained Transformer (ChatGPT) versions 3.5 and 4 for analyzing research papers for effective writing of scientific literature surveys. The study selected the \textit{Application of Artificial Intelligence in Breast Cancer Treatment} as the research topic. Research papers related to this topic were collected from three major publication databases Google Scholar, Pubmed, and Scopus. ChatGPT models were used to identify the category, scope, and relevant information from the research papers for automatic identification of relevant papers related to Breast Cancer Treatment (BCT), organization of papers according to scope, and identification of key information for survey paper writing. Evaluations performed using ground truth data annotated using subject experts reveal, that GPT-4 achieves 77.3\% accuracy in identifying the research paper categories and 50\% of the papers were correctly identified by GPT-4 for their scopes. Further, the results demonstrate that GPT-4 can generate reasons for its decisions with an average of 27\% new words, and 67\% of the reasons given by the model were completely agreeable to the subject experts.
arXiv:2403.03293 [cs] KerkoCite.ItemAlsoKnownAs: 5440726:NECFXFUP
Keywords: Computer Science - Artificial Intelligence

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 (Sleep Medicine Reviews, 2024)
Climate change is elevating nighttime and daytime temperatures worldwide, affecting a broad continuum of behavioral and health outcomes. Disturbed sleep is a plausible pathway linking rising ambient temperatures with several observed adverse human responses shown to increase during hot weather. This systematic review aims to provide a comprehensive overview of the literature investigating the relationship between ambient temperature and valid sleep outcomes measured in real-world settings, globally. We show that higher outdoor or indoor temperatures are generally associated with degraded sleep quality and quantity worldwide. The negative effect of heat persists across sleep measures, and is stronger during the hottest months and days, in vulnerable populations, and the warmest regions. Although we identify opportunities to strengthen the state of the science, limited evidence of fast sleep adaptation to heat suggests rising temperatures induced by climate change and urbanization pose a planetary threat to human sleep, and therefore health, performance, and wellbeing.
openalex: W4392505490 KerkoCite.ItemAlsoKnownAs: 10.1016/j.smrv.2024.101915 2129771:GC6JAXQ7 5072953:TTBDT72P
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Adobe Acrobat adds generative AI to ‘easily chat with documents’ - Weatherbed, Jess (The Verge, 2024)
No need to rummage through PDFs if a robot can do it for you.

Conversational AI Applications in Ed‐Tech Industry: An Analysis of Its Impact and Potential in Education - Chauhan, Deepika; Singh, Chaitanya; Rawat, Romil; Chouhan, Mukesh (Conversational Artificial Intelligence, 2024)

How much electricity does AI consume? - Vincent, James (The Verge, 2024)
How many watts and joules does it actually take to generate a single Balenciaga pope?

Structured information extraction from scientific text with large language models - Dagdelen, John; Dunn, Alexander; Lee, Sanghoon; Walker, Nicholas; Rosen, Andrew S.; Ceder, Gerbrand; Persson, Kristin A.; Jain, Anubhav (Nature Communications, 2024)
Abstract Extracting structured knowledge from scientific text remains a challenging task for machine learning models. Here, we present a simple approach to joint named entity recognition and relation extraction and demonstrate how pretrained large language models (GPT-3, Llama-2) can be fine-tuned to extract useful records of complex scientific knowledge. We test three representative tasks in materials chemistry: linking dopants and host materials, cataloging metal-organic frameworks, and general composition/phase/morphology/application information extraction. Records are extracted from single sentences or entire paragraphs, and the output can be returned as simple English sentences or a more structured format such as a list of JSON objects. This approach represents a simple, accessible, and highly flexible route to obtaining large databases of structured specialized scientific knowledge extracted from research papers.

Artificial Intelligence for Literature Reviews: Opportunities and Challenges - Bolanos, Francisco; Salatino, Angelo; Osborne, Francesco; Motta, Enrico (arXiv, 2024)
This manuscript presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is a rigorous and organised methodology that assesses and integrates previous research on a given topic. Numerous tools have been developed to assist and partially automate the SLR process. The increasing role of AI in this field shows great potential in providing more effective support for researchers, moving towards the semi-automatic creation of literature reviews. Our study focuses on how AI techniques are applied in the semi-automation of SLRs, specifically in the screening and extraction phases. We examine 21 leading SLR tools using a framework that combines 23 traditional features with 11 AI features. We also analyse 11 recent tools that leverage large language models for searching the literature and assisting academic writing. Finally, the paper discusses current trends in the field, outlines key research challenges, and suggests directions for future research.
arXiv:2402.08565 [cs] KerkoCite.ItemAlsoKnownAs: 5440726:NH6ZERWC
Keywords: Computer Science - Artificial Intelligence; Computer Science - Human-Computer Interaction; Computer Science - Information Retrieval

Using AI to Automate Literature Reviews - Haßler, Björn; Hassan, Mustafa; Klune, Christopher (EdTech Hub, 2024)
An output of the EdTech Hub, https://edtechhub.org/
ZenodoArchiveID: 10529049 ZenodoArchiveConcept: 10529048 KerkoCite.ItemAlsoKnownAs: 10.53832/edtechhub.1003 2129771:JC66TBWQ 2405685:BVD8JX7V
Keywords: _forthcoming; _r:AddedByMyEducationEvidence; coming soon

OpenDevEd/OpenAlex-SDK (Open Development & Education, 2024)
original-date: 2024-02-02T19:43:08Z

Influence of Sun Shading Devices on Energy Efficiency, Thermal Comfort and Lighting Comfort in a Warm Semi-Arid Dry Mediterranean Climate - Pérez-Carramiñana, Carlos; González-Avilés, Ángel Benigno; Castilla, Nuria; Galiano-Garrigós, Antonio (Buildings, 2024)
The dry Mediterranean climate (BShs) is the European region with the highest number of hours of sunshine per year. The high annual solar radiation makes sun shading devices necessary to comply with current energy efficiency standards. However, these standards do not sufficiently consider their effect on the indoor lighting comfort of buildings. The objective is to qualitatively and quantitatively determine how movable sun shading devices jointly influence the energy efficiency, thermal comfort and lighting comfort of buildings in BShs climate. The scientific novelty of the work consists of demonstrating the limitations of the sun shading systems commonly used in southeastern Spain and determining the optimal technical solution in this climate to simultaneously improve thermal and lighting comfort. This research comparatively studies the influence of various movable sun shading systems on the daylighting and thermal performance of an educational building. This study conducted on-site measurements, user surveys and computer simulations to study how to improve the thermal and lighting performances of the building. This work demonstrates that interior solar shading provides little improvement in thermal comfort and reduces the cooling demand by only 25%. External movable sun shading improves thermal comfort and reduces the cooling demand by more than 60%, but only adjustable blinds or awnings achieve adequate and homogeneous illuminance values as they diffuse daylight. The paper concludes that energy efficiency standards should be modified to ensure adequate lighting comfort in buildings.
Number: 2 Publisher: Multidisciplinary Digital Publishing Institute KerkoCite.ItemAlsoKnownAs: 10.3390/buildings14020556 2129771:ZDWLXN25 2486141:V7W7QEDW
Keywords: energy efficiency; indoor lighting comfort; sun shading devices; thermal comfort; warm semi-arid dry Mediterranean climate

Why disability inclusion is important for climate resilience - King, Molly M. (2024)
Globally, more than a billion people have a disability. Most live in poverty and 80 percent live in low- and middle-income countries, which are more susceptible to climate disasters. Because of this, and sometimes because they are also members of other minorities, disabled people are much more likely to experience the worst impacts of climate change. People with disabilities are two to four times more likely to be hurt or die in climate-related disasters such as heatwaves, wildfires and floods. During the 2017 flooding in rural New South Wales in Australia, those with disabilities were disproportionately impacted by unstable housing, displacement, and post-traumatic stress disorder. When northern Bangladesh faced unprecedented flooding in June 2022, many with disabilities did not receive sufficient support from the government to reach safety and access to shelter, health care, and food.
openalex: W4391337198
Keywords: _z:class:countries; openalex:import; openalex:yes

Reference Coverage Analysis of OpenAlex compared to Web of Science and Scopus - Culbert, Jack; Hobert, Anne; Jahn, Najko; Haupka, Nick; Schmidt, Marion; Donner, Paul; Mayr, Philipp (arXiv, 2024)
OpenAlex is a promising open source of scholarly metadata, and competitor to the established proprietary sources, the Web of Science and Scopus. As OpenAlex provides its data freely and openly, it permits researchers to perform bibliometric studies that can be reproduced in the community without licensing barriers. However, as OpenAlex is a rapidly evolving source and the data contained within is expanding and also quickly changing, the question naturally arises as to the trustworthiness of its data. In this empirical paper, we will study the reference and metadata coverage within each database and compare them with each other to help address this open question in bibliometrics. In our large-scale study, we demonstrate that, when restricted to a cleaned dataset of 16,788,282 recent publications shared by all three databases, OpenAlex has average reference numbers comparable to both Web of Science and Scopus. We also demonstrate that the comparison of other core metadata covered by OpenAlex shows mixed results, with OpenAlex capturing more ORCID identifiers, fewer abstracts and a similar number of Open Access information per article when compared to both Web of Science and Scopus.
arXiv:2401.16359 [cs] KerkoCite.ItemAlsoKnownAs: 2129771:U2ZHM2CM 2486141:FRXMDFNH
Keywords: Computer Science - Digital Libraries

Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review - Essamlali, Ismail; Nhaila, Hasna; Khaïli, Mohamed El (Sustainability, 2024)
Urban air pollution is a pressing global issue driven by factors such as swift urbanization, population expansion, and heightened industrial activities. To address this challenge, the integration of Machine Learning (ML) into smart cities presents a promising avenue. Our article offers comprehensive insights into recent advancements in air quality research, employing the PRISMA method as a cornerstone for the reviewing process, while simultaneously exploring the application of frequently employed ML methodologies. Focusing on supervised learning algorithms, the study meticulously analyzes air quality data, elucidating their unique benefits and challenges. These frequently employed ML techniques, including LSTM (Long Short-Term Memory), RF (Random Forest), ANN (Artificial Neural Networks), and SVR (Support Vector Regression), are instrumental in our quest for cleaner, healthier urban environments. By accurately predicting key pollutants such as particulate matter (PM), nitrogen oxides (NOx), carbon monoxide (CO), and ozone (O3), these methods offer tangible solutions for society. They enable informed decision-making for urban planners and policymakers, leading to proactive, sustainable strategies to combat urban air pollution. As a result, the well-being and health of urban populations are significantly improved. In this revised abstract, the importance of frequently employed ML methods in the context of air quality is explicitly emphasized, underlining their role in improving urban environments and enhancing the well-being of urban populations.
openalex: W4391131339 KerkoCite.ItemAlsoKnownAs: 10.3390/su16030976 2129771:THFFNCYM 5072953:5TPJXCNX
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

HLAEquity: Examining biases in pan-allele peptide-HLA binding predictors - Conev, Anja; Fasoulis, Romanos; Hall-Swan, Sarah; Ferreira, Rodrigo; Kavraki, Lydia E. (iScience, 2024)
Publisher: Elsevier
Keywords: Computational bioinformatics; Human Geography; Immune system; Machine learning

Systematic review using a spiral approach with machine learning - Saeidmehr, Amirhossein; Steel, Piers David Gareth; Samavati, Faramarz F. (Systematic Reviews, 2024)
Abstract With the accelerating growth of the academic corpus, doubling every 9 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: 10.1186/s13643-023-02421-z 5440726:7V4PYGH5

Understanding the pricing of the ChatGPT API - API (OpenAI Developer Forum, 2024)
Greetings, if our institution opts for the Tier 3 plan for the ChatGPT API, allowing students to utilize our API, and the usage either surpasses or falls below the predefined limits of Tier 3, how does it influence the monthly pricing? To clarify, if usage exceeds the Tier 3 limits, will our monthly payment remain fixed at $1000, or will the pricing be adapted according to our actual usage? You can refer to the link provided for details on the tier plans: https://platform.openai.com/docs/guides/...
Section: API KerkoCite.ItemAlsoKnownAs: 2129771:PW9W7DD7 2405685:WK8YCRCC 2486141:YJVMBKUH

Scopus AI Beta: functional analysis and cases - Aguilera Cora, Elisenda; Lopezosa, Carlos; Codina, Lluís (2024)
Academic databases are a fundamental source for identifying relevant literature in a field of study. Scopus contains more than 90 million records and indexes around 12,000 documents per day. However, this context and the cumulative nature of science itself make it difficult to selectively identify information. In addition, academic database search tools are not very intuitive, and require an iterative and relatively slow process of searching and evaluation. In response to these challenges, Elsevier has launched Scopus AI, currently in its Beta version. As the product is still under development, the current user experience is not representative of the final product. Scopus AI is an artificial intelligence that generates short synthesis of the documents indexed in the database, based on instructions or prompts. This study examines the interface and the main functions of this tool and explores it on the basis of three case studies. The functional analysis shows that the Scopus AI Beta interface is intuitive and easy to use. Elsevier's AI tool allows the researcher to obtain an overview of a problem, as well as to identify authors and approaches, in a more agile search session than conventional search. Scopus AI Beta is not a substitute for conventional search in all cases, but it is an accelerator of academic processes. It is a valuable tool for literature reviews, construction of theoretical frameworks and verification of relationships between variables, among other applications that are actually impossible to delimit.
Accepted: 2024-01-09T15:30:03Z KerkoCite.ItemAlsoKnownAs: 2129771:6UEDVQGB 2405685:ELXBVWUQ 2486141:2DKDU6LF
Keywords: ⛔ No DOI found

ijmarshall/robotreviewer - Marshall, Iain (2024)
Automatic synthesis of RCTs
original-date: 2016-07-21T19:23:35Z KerkoCite.ItemAlsoKnownAs: 2129771:Z8B2T5B9 2405685:PQL34IN7 2486141:K5QNVJ2N
Keywords: bias; clinical-trials; cochrane; icasr; rcts; systematic-reviews; trial

Bioclimatic Strategies to Reduce Energy Consumption in Mixed-Used Buildings in Abuja, Nigeria - Ali, S.M.; Buhari, K.A. (at the “Second International Conference on Sustainable Built Environment in the Tropics (ICONSBET) at the Department of Architecture, 2024)
KerkoCite.ItemAlsoKnownAs: 2129771:5IXMN2WE 2129771:9E96ZSGY 2486141:HF56XA5V
Keywords: ⛔ No DOI found

Distribution of Soil Chemical Properties of Smallholder Farms on Derelict Mined-Sites of Jos South LGA, Jos Plateau, Nigeria - Dakagan, J.B.; Tudunwada, I.Y.; Ajiji, S.A.; Aliyu, J.A. (Asian Journal of Soil Science and Plant Nutrition, 2024)

Challenging Systematic Prejudices - An Investigation into Bias Against Women and Girls in Large Language Models - Daniel van Niekerk; María Pérez-Ortiz; John Shawe-Taylor; Davor Orlič; Ivana Drobnjak; Jackie Kay; Noah Siegel; Katherine Evans; Nyalleng Moorosi; Tina Eliassi-Rad; Leonie Maria Tanczer; Wayne Holmes; et al. (UNESCO / IRCAI, 2024)
Open Access under the Attribution-ShareAlike 3.0 IGO (CC-BY-SA 3.0 IGO) license (https://creativecommons.org/licenses/by-sa/3.0/igo/).

Unintended consequences of English school stock energy-efficient retrofit on cognitive performance of children under climate change - Dong, J.; Schwartz, Y.; Korolija, I.; Mumovic, D. (Building and Environment, 2024)
School building stock retrofit forms a key part of UK’s commitment to net-zero carbon target by 2050. However, with a changing climate, the retrofit of school buildings may have unintended consequences on classroom thermal environments and cognitive performance of children in non-heating seasons. This paper aims to quantify the impact of school stock retrofit in accordance with increasingly tightening energy efficiency regulatory requirements on cognitive performance of English children, while also exploring the potential adaptation measures under climate change. The results indicate that English schools that undergo envelope insulation exhibit higher Cognitive Performance Loss (CPL) of children compared to their original conditions. Passive climate adaptation measures, especially increased daytime ventilation rate was found to be an effective strategy for mitigating the impact of climate change on cognitive performance. However, the benefits of passive measures will diminish as the climate warms, while air conditioning will be required to maintain cognitive performance loss at relatively low levels. In addition to the reduction of heating load, envelope insulation can provide benefits for English schools in cooler climatic regions from both cognitive performance and energy point of view. The study calls for the CPL to be added as one of the key performance indicators when considering the long-term impact of climate change on schools. This would enable policy makers and relevant stakeholders to make more holistic decisions regarding school stock retrofit while ensuring that classrooms are conducive to learning.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.buildenv.2023.111107 2129771:CGS92VPR 5072953:RXETR3RL
Keywords: _z:class:countries

A Meta-Study of the Evolutionary Transformative Academic Landscape by Artificial Intelligence and Machine Learning - Lainjo, Bongs; Tmouche, Hanan (International Journal of Education, Teaching, and Social Sciences, 2024)
KerkoCite.ItemAlsoKnownAs: 5440726:US5XVSEH

ERICC Evidence Review in Nigeria_The evidence for improving education in conflict-affected areas of Nigeria and existing gaps - Mishra, A.; Oyinloye, B.; Mkwananzi, F.; Watts, M.; Adesina, Adedoyin; Akogun, O.; S., Salmon- Letelier; M.; Diazgranados Ferrans, S. (2024)
Pages: – 24231040 KerkoCite.ItemAlsoKnownAs: 2129771:EWUGERAJ 2129771:I6M4XK3L 2486141:26DPLWCX

Should we collaborate with AI to conduct literature reviews? Changing epistemic values in a flattening world - Ngwenyama, Ojelanki; Rowe, Frantz (Journal of the Association for Information Systems, 2024)
KerkoCite.ItemAlsoKnownAs: 5440726:N9QK9Y8K

Algorithmic Green Infrastructure Optimisation: Review of Artificial Intelligence Driven Approaches for Tackling Climate Change - Shaamala, Abdulrazzaq; Yigitcanlar, Tan; Nili, Alireza; Nyandega, Dan (Sustainable Cities and Society, 2024)
Publisher: Elsevier

Application of Language Models for the Segmentation of Website Visitors - Stöckl, Andreas; Krauss, Oliver (Intelligent Systems and Applications, 2024)
Series Title: Lecture Notes in Networks and Systems

Global Report on Teachers - Addressing teacher shortages and transforming the profession - UNESCO; Education 2030 (2024)

Dataset of indoor air parameter measurements relating to indoor air quality and thermal comfort in South African primary school classrooms of various building infrastructure types - Van Der Walt, Rita Elise; Grobbelaar, Sara Susanna; Booysen, Marthinus Johannes (Data in Brief, 2024)
In the resource-constrained South African education sector, infrastructure considered temporary or a backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children's cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality and thermal comfort, have not been investigated across different classroom building and infrastructure types. We measure these parameters with 11-min intervals in 24 classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing) across multiple seasons with relevant metadata, including ambient weather conditions, school days and times, and electricity availability in the (South) African context, which impacts air conditioning usage. This dataset provides valuable insights into true learning conditions in South African classrooms.
openalex: W4390938962 KerkoCite.ItemAlsoKnownAs: 10.1016/j.dib.2024.110045 2129771:YNAE9CTV 5072953:3W35N8CY 5072953:FZJPX8JY 5072953:J25A6NN2
Keywords: Brick classrooms; C:South Africa; Carbon dioxide; Developing country; Indoor air quality; Learning environment; Particulate matter; Portable classrooms; Thermal environment; _z:class:countries; _z:class:themes; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11692 Effects of Noise Pollution on Health and Well-being; oa:topic:T11988 Sustainable Construction and Green Building; openalex:n:1; openalex:yes

6 Social choice and research capacity strengthening in Nigeria - Watts, Michael; Waziri, Nafisa; Akogun, Oladele (Social Choice, Agency, Inclusiveness and Capabilities, 2024)
Publisher: Cambridge University Press

Conceptual Modeling: Topics, Themes, and Technology Trends - Storey, Veda C.; Lukyanenko, Roman; Castellanos, Arturo (ACM Computing Surveys, 2023)
Conceptual modeling is an important part of information systems development and use that involves identifying and representing relevant aspects of reality. Although the past decades have experienced continuous digitalization of services and products that impact business and society, conceptual modeling efforts are still required to support new technologies as they emerge. This paper surveys research on conceptual modeling over the past five decades and shows how its topics and trends continue to evolve to accommodate emerging technologies, while remaining grounded in basic constructs. We survey over 5,300 papers that address conceptual modeling topics from the 1970s to the present, which are collected from 35 multidisciplinary journals and conferences, and use them as the basis from which to analyze the progression of conceptual modeling. The important role that conceptual modeling should play in our evolving digital world is discussed, and future research directions proposed.
KerkoCite.ItemAlsoKnownAs: 10.1145/3589338 2129771:QLDXICWF 2405685:I4MW7HVE 2486141:DE5MJL8K
Keywords: _Added-ailr-2024

Causal loop diagram (Wikipedia, 2023)
A causal loop diagram (CLD) is a causal diagram that aids in visualizing how different variables in a system are causally interrelated. The diagram consists of a set of words and arrows. Causal loop diagrams are accompanied by a narrative which describes the causally closed situation the CLD describes. Closed loops, or causal feedback loops, in the diagram are very important features of CLDs. The words with arrows coming in and out represent variables, or quantities whose value changes over time and the links represent a causal relationship between the two variables (i.e., they do not represent a material flow). A link marked + indicates a positive relation where an increase in the causal variable leads, all else equal, to an increase in the effect variable, or a decrease in the causal variable leads, all else equal, to a decrease in the effect variable. A link marked - indicates a negative relation where an increase in the causal variable leads, all else equal, to a decrease in the effect variable, or a decrease in the causal variable leads, all else equal, to an increase in the effect variable. A positive causal link can be said to lead to a change in the same direction, and an opposite link can be said to lead to change in the opposite direction, i.e. if the variable in which the link starts increases, the other variable decreases and vice versa. The words without arrows are loop labels. As with the links, feedback loops have either positive (i.e., reinforcing) or negative (i.e., balancing) polarity. CLDs contain labels for these processes, often using numbering (e.g., B1 for the first balancing loop being described in a narrative, B2 for the second one, etc.), and phrases that describe the function of the loop (i.e., "haste makes waste"). A reinforcing loop is a cycle in which the effect of a variation in any variable propagates through the loop and returns to reinforce the initial deviation (i.e. if a variable increases in a reinforcing loop the effect through the cycle will return an increase to the same variable and vice versa). A balancing loop is the cycle in which the effect of a variation in any variable propagates through the loop and returns to the variable a deviation opposite to the initial one (i.e. if a variable increases in a balancing loop the effect through the cycle will return a decrease to the same variable and vice versa). Balancing loops are typically goal-seeking, or error-sensitive, processes and are presented with the variable indicating the goal of the loop. Reinforcing loops are typically vicious or virtuous cycles. Example of positive reinforcing loop: The amount of the Bank Balance will affect the amount of the Earned Interest, as represented by the top blue arrow, pointing from Bank Balance to Earned Interest. Since an increase in Bank balance results in an increase in Earned Interest, this link is positive, which is denoted with a "+". The Earned interest gets added to the Bank balance, also a positive link, represented by the bottom blue arrow. The causal effect between these variables forms a positive reinforcing loop, represented by the green arrow, which is denoted with an "R".
Page Version ID: 1192291490 KerkoCite.ItemAlsoKnownAs: 2129771:6DPJ2Y3W

The next generation of machine learning for tracking adaptation texts - Sietsma, Anne J.; Ford, James D.; Minx, Jan C. (Nature Climate Change, 2023)
Machine learning presents opportunities for tracking evidence on climate change adaptation, including text-based methods from natural language processing. In theory, such tools can analyse more data in less time, using fewer resources and with less risk of bias. However, the first generation of adaptation studies have delivered only proof of concepts. Reviewing these first studies, we argue that future efforts should focus on creating more diverse datasets, investigating concrete hypotheses, fostering collaboration and promoting ‘machine learning literacy’, including understanding bias. More fundamentally, machine learning enables a paradigmatic shift towards automating repetitive tasks and makes interactive ‘living evidence’ platforms possible. Broadly, the adaptation community is failing to prepare for this shift. Flagship projects of organizations such as the IPCC could help to lead the way.
openalex: W4390273618 KerkoCite.ItemAlsoKnownAs: 10.1038/s41558-023-01890-3 2129771:IASYTD4Z 5072953:3P98PU49 5072953:5CC2RIQH 5072953:9N8TXRGU 5440726:VR85NTPZ
Keywords: Climate-change impacts; Interdisciplinary studies; Research data; _z:no_pdf; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

paperdigest (AI-Powered Research Platform) (Paper Digest, 2023)
Based in New York, we serve users from thousands of universities & companies on search, review, text rewriting and more.
KerkoCite.ItemAlsoKnownAs: 2129771:8A9IMWID 2405685:W9ZJSRE6 2486141:P4Y6JGVW

Mental health and wellbeing outcomes of climate change mitigation and adaptation strategies: A systematic review - Flores, Elaine C.; Brown, Laura J.; Kakuma, Ritsuko; Eaton, Julian; Dangour, Alan D. (Environmental Research Letters, 2023)
Abstract Climate change has already impacted the health and wellbeing of ∼5 billion people globally. However, the potential influence of climate change mitigation and adaptation strategies on mental health and wellbeing outcomes in low-and-middle-income countries (LMICs) remains insufficiently understood. We aimed to determine the effect of these strategies on mental health and wellbeing outcomes among LMIC beneficiaries. We carried out a systematic review to identify intervention and case studies published from 2013 to 2022, searching OVID Medline, Embase, PsycINFO, Global Health, Cochrane Library, GreenFile, Web of Science, and a subset of studies from the ‘Global Adaptation Mapping Initiative’ database. We included controlled, quasi-experimental, pilot, and focussed case studies reporting mental health or wellbeing outcomes assessments of climate change mitigation and adaptation strategies. We categorised studies by design, geographic region, target population, setting, environmental hazard, strategy type and primary outcomes. PROSPERO registry: CRD42021262711. A total of 9532 studies were initially retrieved, and 15 studies involving 12 255 participants met the inclusion criteria. Among these, twelve studies described evidence from single-adaptation strategies in nine LMICs, while three reported mitigation programmes. Only two randomised evaluations assessed common mental disorders such as depression, trauma or anxiety using validated scales. Most studies evaluated broader wellbeing at the community and individual levels. Nine studies (53.3%) reported significant beneficial changes in mental health or wellbeing outcomes among beneficiaries, while six (46.7%) obtained mixed results linked to local and sociocultural factors. The interventions ‘practical significance and overall impact remained unclear due to the heterogeneous reporting in program effectiveness, gaps in effect size assessments or qualitative insights. Our review highlights the scarcity and limited nature of the current evidence, underscoring the need for further equitable research. The ongoing global climate and mental health crises press us to fully understand and address these strategies’ psychosocial impacts and translate these findings into effective policy and transdisciplinary action as an opportunity to prevent and ameliorate significant, long-term problems in the population’s mental health and wellbeing.
openalex: W4389660070 KerkoCite.ItemAlsoKnownAs: 10.1088/1748-9326/ad153f 2129771:97VDTQLA 5072953:BLHNPA29
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

A Rapid Review of Impact Assessment of Climate Change on Health and Mental Well-Being in Africa - Oladimeji, Kelechi Elizabeth; Zungu, Lindiwe; Chocko, Ronnie; Hyera, Francis Leonard Mpotte; Nyatela, Athini; Gumede, Siphamandla; Dwarka, Depika; Lalla-Edward, Samanta Tresha (New Voices in Psychology, 2023)
Despite widespread global attention, the potential threats to human health posed by climate change in Africa still need to be further understood. Although there is mounting concern that climate change is a serious risk to human health, less evidence shows a direct causal relationship between climate change and health risks in Africa. In this rapid review, we discuss our synthesis of available evidence on the health implications of climate change with a focus on Africa. PubMed was systematically searched for relevant articles from 2020 to 2023 using a search strategy. Only eligible articles published in the English language with full article access were included for review using the population concept context (PCC) criteria by Joanna Briggs Institute (JBI). After removing duplicates, the selection process began with title and abstract screening, followed by screening full-text articles. Of the 3272 articles retrieved, only 10 were eligible for synthesis. We found mainly reported climate exposures to range from drought, concerning rainfall patterns, and increasing temperatures reported to cause morbidity and mortality through health risks: respiratory diseases, vector-borne diseases, cardiovascular diseases and mental health concerns. Africa still has a huge shortage of available evidence, particularly research focusing on the health implications, including mental health of climate change and interventions to prevent climate change-related health consequences. While the limited global evidence indicates that climate change results in an increased risk to public health, there are gaps in demonstrating the causal links between climate change and societal mental health impacts in Africa. There is also an urgent need for more research on effectively addressing climate hazards that threaten the African continent's public health and well-being.
openalex: W4391697555 KerkoCite.ItemAlsoKnownAs: 10.25159/2958-3918/15604 2129771:W949TX3P 5072953:2HQSUTB5
Keywords: openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

GPT-4 Technical Report - OpenAI; Achiam, Josh; Adler, Steven; Agarwal, Sandhini; Ahmad, Lama; Akkaya, Ilge; Aleman, Florencia Leoni; Almeida, Diogo; Altenschmidt, Janko; Altman, Sam; Anadkat, Shyamal; Avila, Red; et al. (arXiv, 2023)
We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level performance on various professional and academic benchmarks, including passing a simulated bar exam with a score around the top 10% of test takers. GPT-4 is a Transformer-based model pre-trained to predict the next token in a document. The post-training alignment process results in improved performance on measures of factuality and adherence to desired behavior. A core component of this project was developing infrastructure and optimization methods that behave predictably across a wide range of scales. This allowed us to accurately predict some aspects of GPT-4's performance based on models trained with no more than 1/1,000th the compute of GPT-4.
arXiv:2303.08774 [cs]
Keywords: Computer Science - Artificial Intelligence; Computer Science - Computation and Language

ChatGPT Pricing: How Much Does ChatGPT Cost? - Drapkin, Aaron (Tech.co, 2023)
ChatGPT has lots of different plans, models and services. But how much do they actually cost? We take a closer look.
KerkoCite.ItemAlsoKnownAs: 2129771:LMGJG373 2405685:AN26LXEA 2486141:XCIX2SMK

Mapping National Digital Learning Platforms: Full Dataset - Rui, Tingting; Chuang, Rachel; Thinley, Sangay; AlSheikh Theeb, Thaer; Villavicencio, Xuzel; Hasiniavo, Rasolohery (EdTech Hub, 2023)
The dataset provided here as a link to a spreadsheet presents raw data from a global mapping exercise of 471 national digital platforms across 184 countries conducted by EdTech Hub as part of a Helpdesk request from UNICEF. The mapping exercise examined three key areas of availability, usability, and inclusivity of national digital learning platforms. Analysis from the dataset was used to generate a report on national digital learning platforms. The datasheet includes the authors’ organisation of the dataset under key indicators. Readers can use the datasheet to replicate or conduct their own analysis. An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 10256767 ZenodoArchiveConcept: 10256766 KerkoCite.ItemAlsoKnownAs: 10.5281/zenodo.10256767 10.53832/edtechhub.0178 2405685:SPWJF5UR
Keywords: _r:AddedByZotZen

Disseminating the evidence and outputs generated by your programme - Haßler, Björn; Friese, Laila; Mansour, Hassan (EdTech Hub, 2023)
An output of the EdTech Hub, https://edtechhub.org/
KerkoCite.ItemAlsoKnownAs: 10.53832/edtechhub.1001 2129771:5ZK5YZFI 2129771:HY5ZGL8E 2405685:PWN42VDQ
Keywords: Coming Soon; _comingsoon; _forthcoming; _r:AddedByMyEducationEvidence

Zambia’s Education Sector Support Technical Assistance Facility (ZESSTA) - Open Development & Education - Open Development & Education (2023)
Effective teaching and learning of large cohorts in institutions of higher learning in Zambia: Challenges and opportunities

EdTech, Learning and Equity: The EdTech Hub Research Portfolio - Haßler, Björn; Wagner, Dan; Outhwaite, Laura (EdTechHub, 2023)
ZenodoArchiveID: 10079721 KerkoCite.ItemAlsoKnownAs: 10.53832/edtechhub.1000 ZenodoArchiveConcept: 10079720
Keywords: _internal; _r:AddedByMyEducationEvidence

Weather tracker: Ethiopia hit by severe drought amid east Africa floods (The Guardian, 2023)
More than 50 people dead in Tigray and Amhara regions while UN warns of ‘crisis-level hunger or worse’ in Somalia
Keywords: Africa; Drought; Environment; Ethiopia; Extreme weather; Somalia; Turkey; World news

Motor emissions could have fallen by over 30% without SUV trend, report says - Horton, Helena; reporter, Helena Horton Environment (The Guardian, 2023)
Global fall averaged 4.2% between 2010 and 2022 but would have been far more if vehicle sizes stayed same
Keywords: Automotive emissions; Automotive industry; Business; Carbon footprints; Environment; Greenhouse gas emissions; Motoring; Pollution; World news

The Impact of Broadband Network Construction on Education - Utilities One (Utilities One, 2023)
Being connected to the digital world is no longer a luxury, but a necessity in today's society. The internet has become a powerful tool in various aspects of our lives, including education. However, not all students have equal access to this invaluable resource, leading to what is commonly known as the "homework gap.
KerkoCite.ItemAlsoKnownAs: 4804264:3T4QPRRH
Keywords: Final_citation

Deep-diving robots checking for climate collapse in our oceans (BBC News, 2023)
Scientists in Scotland are monitoring the North Atlantic for signs of weakening warm water currents.

Madagascan heatwave ‘virtually impossible’ without human-caused global heating - Carrington, Damian; editor, Damian Carrington Environment (The Guardian, 2023)
Study finds impact of heat on millions of people went unrecorded, highlighting limitations many African countries face
Keywords: Africa; Climate crisis; Environment; Extreme heat; Extreme weather; Madagascar; World news

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

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

UNICEF: 100 million children vulnerable to climate change impacts in Nigeria (TheCable, 2023)
The United Nations Children’s Fund (UNICEF) says 100 million children are vulnerable to the impacts of climate change in Nigeria.

Education Sector Contingency Plan: Guidelines and Templates - Vijil-Morin, Alejandra; Villavicencio, Xuzel; Haßler, Björn (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/

ChatGPT Pricing, Explained: Plus & Tokens (2024) - Ch, David (Guides.ai, 2023)
ChatGPT Plus costs $20 per month ($23.80/month for EU + UK). The ChatGPT API costs $0.002 for every 1000 tokens.
KerkoCite.ItemAlsoKnownAs: 2129771:IUPE5VYU 2405685:YISLU5WQ 2486141:5D3R2MC3

ChatGPT has entered the classroom: how LLMs could transform education - Extance, Andy (Nature, 2023)
Researchers, educators and companies are experimenting with ways to turn flawed but famous large language models into trustworthy, accurate ‘thought partners’ for learning.
KerkoCite.ItemAlsoKnownAs: 10.1038/d41586-023-03507-3 2129771:7KMJD2I5 2486141:YFGK5F89
Keywords: Computer science; Education; Machine learning; Mathematics and computing

The next frontier: insights from Global event on Education Evidence Labs - Turney, Ella (Jacobs Foundation, 2023)
The Global Convening on Education Evidence Labs, hosted by Jacobs Foundation in partnership with the Foreign, Commonwealth, and Development Office (FCDO), alongside support from On Think Tanks (OTT), brought together stakeholders from Ministries of Education, EdLab implementing units, research institutions, multilateral agencies, and global funders. The event, held in mid-October 2023, aimed to address the […]
KerkoCite.ItemAlsoKnownAs: 2486141:SNZA9JZG

How Africa's first heat officer is protecting women in Sierra Leone - Bah, Saidu (BBC Future Planet, 2023)
Africa's first heat officer is helping women keep cool in Sierra Leone's capital Freetown.

Reviews and Reviewing: Approaches to Research Synthesis. An Annual Review of Information Science and Technology (ARIST) paper - Smith, Linda C. (Journal of the Association for Information Science and Technology, 2023)
Abstract Reviews have long been recognized as among the most important forms of scientific communication. The rapid growth of the primary literature has further increased the need for reviews to distill and interpret the literature. This review on Reviews and Reviewing: Approaches to Research Synthesis encompasses the evolution of the review literature, taxonomy of review literature, uses and users of reviews, the process of preparing reviews, assessment of review quality and impact, the impact of information technology on the preparation of reviews, and research opportunities for information science related to reviews and reviewing. In addition to providing a synthesis of prior research, this review seeks to identify gaps in the published research and to suggest possible future research directions.
_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/asi.24851 KerkoCite.ItemAlsoKnownAs: 10.1002/asi.24851 2129771:UH3PM3LX 2405685:32NYSPUF 2486141:A9F7UUQ3 2486141:MWWYUBP8
Keywords: _Added-ailr-2024

Overcoming the challenges of using automated technologies for public health evidence synthesis - Hocking, Lucy; Parkinson, Sarah; Adams, Avery; Molding Nielsen, Emmanuel; Ang, Cecilia; De Carvalho Gomes, Helena (Eurosurveillance, 2023)
Many organisations struggle to keep pace with public health evidence due to the volume of published literature and length of time it takes to conduct literature reviews. New technologies that help automate parts of the evidence synthesis process can help conduct reviews more quickly and efficiently to better provide up-to-date evidence for public health decision making. To date, automated approaches have seldom been used in public health due to significant barriers to their adoption. In this Perspective, we reflect on the findings of a study exploring experiences of adopting automated technologies to conduct evidence reviews within the public health sector. The study, funded by the European Centre for Disease Prevention and Control, consisted of a literature review and qualitative data collection from public health organisations and researchers in the field. We specifically focus on outlining the challenges associated with the adoption of automated approaches and potential solutions and actions that can be taken to mitigate these. We explore these in relation to actions that can be taken by tool developers (e.g. improving tool performance and transparency), public health organisations (e.g. developing staff skills, encouraging collaboration) and funding bodies/the wider research system (e.g. researchers, funding bodies, academic publishers and scholarly journals).
KerkoCite.ItemAlsoKnownAs: 10.2807/1560-7917.ES.2023.28.45.2300183 5440726:Z8RXHUKM

Using Large Language Models for Qualitative Analysis can Introduce Serious Bias - Ashwin, Julian; Chhabra, Aditya; Rao, Vijayendra (World Bank Washington, DC, 2023)
KerkoCite.ItemAlsoKnownAs: 10.1596/1813-9450-10597 2486141:TNAS2ULG

Open Knowledge Repository - World Bank (2023)
KerkoCite.ItemAlsoKnownAs: 4804264:Q8PJ5X35
Keywords: Final_citation

The Theory of Educational Technology: Towards a Dialogic Foundation for Design - Wegerif, Rupert; Major, Louis (Routledge, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:475DJRG3 2129771:RW5KJ8MY 2129771:WL8GJNKP

AI language tools risk scientific diversity and innovation - Nakadai, Ryosuke; Nakawake, Yo; Shibasaki, Shota (Nature Human Behaviour, 2023)
Number: 11 Publisher: Nature Publishing Group KerkoCite.ItemAlsoKnownAs: 10.1038/s41562-023-01652-3 2129771:BU5A6U3F 2405685:QIX9ZW5M 2486141:LHWYJQUZ
Keywords: Cultural evolution; Scientific community

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

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

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/

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.

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)

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/

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

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.

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

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

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

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

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.

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

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

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.

‘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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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.

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

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.

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.

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

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

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.

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

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

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

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

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.

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

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

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

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)

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

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

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

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

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

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

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

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

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

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

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

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

Research proposal (2023)

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

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

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

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

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

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

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

Desktop vs Mobile vs Tablet Market Share Africa (2023)
KerkoCite.ItemAlsoKnownAs: 2129771:EHTZKPKL 5242966:58P9YH74

End the killing of children in armed conflict, UN committee urges (2023)
GENEVA (20 November 2023) – With one out of every five children worldwide living within armed conflict zones, the UN Committee on the Rights of the Child marks World Children’s Day in a sombre mood and calls for ceasefires and a return to basics of humanitarian law to safeguard all children. The Committee today issued the following statement:
KerkoCite.ItemAlsoKnownAs: 4804264:CI5JW367 4804264:LQYHTR5N
Keywords: Final_citation; anystyle; existing

OECD Directorate for Education and Skills (2023)
KerkoCite.ItemAlsoKnownAs: 4804264:YLNR2H4K
Keywords: Final_citation; anystyle; existing

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

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

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

Education research in conflict and protracted crisis – Research Agenda – Report - Akogun, O.; Diazgranados Ferrans, S.; Njobdi, S.; Adesina, Adedoyin (2023)
KerkoCite.ItemAlsoKnownAs: 2129771:AAZ2GTYN 2129771:KKXHMTVX 2486141:PZELCDG7

Evaluating Building Performance of Educational Buildings: A case study of Department of Architecture - Ali, S.M.; A, Aisara (Journal of Environmental Studies. (Environ, 2023)
Place: Kano, Nigeria Publisher: Bayero University KerkoCite.ItemAlsoKnownAs: 2129771:FAZ9NIAA 2129771:ZKC7Z9E4 2486141:BG8P9X4T
Keywords: ⛔ No DOI found

Guidance note on using implementation research in education - Alison, Christine (2023)
KerkoCite.ItemAlsoKnownAs: 2129771:LYJAJX2X 2486141:W65BQMYY

Guidance note on using implementation research in education - Allison, C. (London: Foreign, Commonwealth & Development Office, prepared for Building Evidence in Education (BE2), 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:V6II42S9 2129771:V7SJPNUZ

Trends and Topics in Educational Technology, 2023 Edition - Allman, Bohdana; Kimmons, Royce; Rosenberg, Joshua; Dash, Monalisa (Techtrends, 2023)
KerkoCite.ItemAlsoKnownAs: 10.1007/s11528-023-00840-2 4804264:8BCUXTFA 4804264:YNXKPVAT
Keywords: Final_citation; anystyle; existing

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

Augmented Education in the Global Age: Artificial Intelligence and the Future of Learning and Work - Araya, Daniel; Marber, Peter (Taylor & Francis, 2023)
Augmented Education in the Global Age: Artificial Intelligence and the Future of Learning and Work is an edited collection that explores the social impact of Artificial Intelligence over the coming decades, specifically how this emerging technology will transform and disrupt our contemporary institutions. Chapters in this book discuss the history of technological revolutions and consider the anxieties and social challenges of lost occupations, as well as the evolution of new industries overlapping robotics, biotechnology, space exploration, and clean energy. Chapter authors unpack the nature of augmented education, from revamping curriculum and personalizing education, to redesigning workplace learning for an algorithmic era. Ultimately the book discusses policy and planning for an augmented future, arguing that work and learning are undergoing a metamorphosis around creativity and innovation amid a new global era and the race against automating technologies. Bringing together expert perspectives from around the world, this exciting, informative collection of research and analysis helps educators, policymakers and analysts navigate the future of work and learning amid rapid and accelerating technological change.
Accepted: 2023-03-08T12:37:34Z KerkoCite.ItemAlsoKnownAs: 10.4324/9781003230762 2486141:TUEKXX36
Keywords: Artificial Intelligence and the Future of Learning and Work; Augmented Education in the Global Age; Daniel Araya; Education; Education administration; Education policy; Peter Marber; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology; bic Book Industry Communication::J Society & social sciences::JN Education::JNF Educational strategies & policy; bic Book Industry Communication::J Society & social sciences::JN Education::JNK Organization & management of education; bic Book Industry Communication::J Society & social sciences::JN Education::JNV Educational equipment & technology; computer-aided learning (CAL); computers and technology; education reform

Transforming the financing of education at the mid-point of the sustainable development goals - Archer, David (International Journal of Educational Development, 2023)
Publisher: Elsevier KerkoCite.ItemAlsoKnownAs: 10.1016/j.ijedudev.2023.102931 4804264:TWTXRK69
Keywords: Final_citation

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

Reimagine Tech-Inclusive Education: Evidence, Practices, and Road Map - Asian Development Bank (Asian Development Bank, 2023)
Edition: 0 ISBN: 9789292701864 9789292701857 KerkoCite.ItemAlsoKnownAs: 10.22617/TCS230233 4804264:4IZE3MIX
Keywords: Final_citation

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

Education Finance Watch 2023 - Bend, May; Hu, Yitong; Pan, Yilin; Patrinos, Harry Anthony; Poulsen, Thomas; Rivera-Olvera, Angelica; Tanaka, Nobuyuki; Antoninis, Manos; Murakami, Yuki; Benveniste, Luis (2023)
Publisher: World Bank Group KerkoCite.ItemAlsoKnownAs: 4804264:PKCWD2GS
Keywords: Final_citation; ⛔ No DOI found

Teacher Deployment in Sierra Leone: Lessons learnt and moving forward - Beoku-Betts, Iman (EdTech Hub, 2023)
This report provides an overview of the teacher deployment process in Sierra Leone prior to and including 2022. Through interviews with key stakeholders in the Ministry of Basic and Senior Secondary Education (MBSSE) and the Teaching Service Commission (TSC), we look at lessons learnt from the deployment process and next steps for how teacher deployment can be implemented. Although there are a number of volunteer teachers in Sierra Leone, the TSC are aiming to increase the number of qualified teachers on the government payroll as well as retaining teachers in rural areas. It was noted that teachers from rural areas being put on the government payroll and deployed to rural schools are better placed to teach in rural schools than teachers moving from urban to rural areas. Hpwever, it is still challenging to find qualified teachers in these rural areas. The TSC want to look at how they can target teachers to take up rural positions, either through distance learning to gain the right qualifications or working with teacher training institutions (TTIs) to prioritise schools in rural areas for placement. Overall, the TSC want to use data as the basis for decision-making on deploying teachers equitably. Keywords Teacher deployment; teacher training; unqualified teachers; volunteer teachers; rural schools; data for decision-making An output of the EdTech Hub, https://edtechhub.org
ZenodoArchiveID: 7521062 ZenodoArchiveConcept: 7521061

A sustainable economic revival plan for post-COVID-19 using machine learning approach–a case study in developing economy context - Bhanot, Neeraj; Ahuja, Jaya; Kidwai, Humaid Imran; Nayan, Ankit; Bhatti, Rajbir S. (Benchmarking: An International Journal, 2023)
Publisher: Emerald Publishing Limited KerkoCite.ItemAlsoKnownAs: 10.1108/BIJ-09-2021-0564 4804264:QYRECD3P
Keywords: Final_citation

Personalization in bert with adapter modules and topic modelling - Braga, Marco; Raganato, Alessandro; Pasi, Gabriella (Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023). Pisa, Italy, 2023)
Keywords: ⛔ No DOI found

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

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

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

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

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

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

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

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

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

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

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

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