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This document is designed as a guide for building and implementing a content management system, specifically an evidence library, prioritising the needs of research programmes generating evidence for other researchers and policymakers and for public readership and global dissemination. The primary focus is on securely building a system to meet research discovery requirements, such as search engine optimisation, and visibility on Google Scholar. A robust content management system like an...
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ChatGPT Plus costs $20 per month ($23.80/month for EU + UK). The ChatGPT API costs $0.002 for every 1000 tokens.
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Making Teacher Policy Work (English)
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Making Teacher Policy Work (English)
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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...
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Combining nudge theory with learning analytics, ‘nudge analytics’, is a relatively recent phenomenon in the educational context. Used, for example, to address such issues as concerns with student (dis)engagement, nudging students to take certain action or to change a behaviour towards active learning, can make a difference. However, knowing who to nudge, how to nudge or when to nudge can be a challenge. Providing students with strategic, sensitive nudges that help to move them forward is...
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web-based citation screening tool
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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 […]
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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.
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Telling lies and faking emotions is quite common in human-human interactions: though there are risks, in many situations such behaviours provide social benefits. In recent years, there have been many social robots and chatbots that fake emotions or behave deceptively with their users. In this paper, I present a few examples of such robots and chatbots, and analyze their ethical aspects. Three scenarios are presented where some kind of lying or deceptive behaviour might be justified. Then...
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Whether SMS-based nudge interventions can increase parent engagement and improve child learning outcomes across diverse contexts such as rural West Africa is unknown. We conducted a school-randomized trial to test the impacts of an audio or text-message intervention (two messages per week for one school year) to parents and teachers of second and fourth grade students (N = 100 schools, 2246 students) in Cote d’Ivoire. Schools were randomly assigned to have messages sent to (i) parents only,...
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The last two decades have seen the growing adoption of mobile devices to enhance the quality of teachers' continuous professional development (TCPD) in low-income countries. Using mobile devices, typically not designed for educational use, presents new usability challenges, preventing teachers from effectively accessing learning materials in learning management systems (LMS). Therefore, it is important to test usability to improve the delivery of TCPD via mobile devices. This study evaluated...
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This blog forms part of a wider research study on digital personalised learning to improve literacy and numeracy outcomes in Kenyan classrooms, and outlines emergent findings from a randomised controlled trial following the first two rounds of assessment (baseline and midline). The preliminary findings will be strengthened after further analyses and endline assessment.
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Over the last twenty years, education researchers have increasingly conducted randomised experiments with the goal of informing the decisions of educators and policymakers. Such experiments have generally employed broad, consequential, standardised outcome measures in the hope that this would allow decisionmakers to compare effectiveness of different approaches. However, a combination of small effect sizes, wide confidence intervals, and treatment effect heterogeneity means that researchers...
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