AI tutoring is poised to be one of the most impactful and ethical uses of AI in education. Sizzle may be a cost-effective way for AI tutoring to reach every
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AI tutoring is poised to be one of the most impactful and ethical uses of AI in education. Sizzle may be a cost-effective way for AI tutoring to reach every No comment yet.
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playground
Playground (official site) is a free-to-use online AI image creator. Use it to create art, social media posts, presentations, posters, videos, logos and more.
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By assessing data maturity, establishing data governance, creating centralised data teams and adopting a dynamic data reference model, institutions can remain agile in an evolving technological landscape, writes Nick Chaviano
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From
rizzoma
Realtime collaborative editing docs. Here you can send messages, emails and assign tasks right in context.
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For AI to support students, education institutions need to ensure employees have the skills and training to leverage new technologies.
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This article argues for exploring, connecting, and applying utopian imagination, speculative design, and planetary thinking as a way forward for higher education to reimagine and move towards more hopeful planetary futures. It examines hopepunk and solarpunk perspectives on possible futures to propose a design agenda for rewidening and rewilding higher education and educational technology with utopian imagination. Firstly, the article outlines and develops a framework for wider and wilder futures in higher education, emerging from utopian thinking and desire. Secondly, it connects hopepunk with speculative design and solarpunk with planetary design to highlight and put forward rebellious strategies of hope in envisioning more preferable futures. Thirdly, it approaches the field of educational technology within the context of wide and wild education to establish four planetary orientations concerning educational technology: Higher Education for, in, with, and by the world. Taken together, the article proposes a design agenda for educational technology that integrates utopian imagination and solarpunk practices with planetary educational technology to catalyse the development of more preferable futures in a more-than-human world.
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From
osf
Systematic reviews and meta-analyses are crucial for synthesizing evidence but are time-consuming and labor-intensive, especially during data extraction. To address this challenge, we developed MetaMate, an open-access web-based tool leveraging large language models (LLMs) for automated data extraction in educational systematic reviews and meta-analyses. MetaMate utilizes a hierarchical schema and divide-and-conquer approach in its extraction chain, and a from-global-to-local lens and example retriever in its verification chain. We evaluated MetaMate’s performance on 32 empirical studies, extracting 20 data elements related to participants and interventions. MetaMate achieved high precision, recall, and F1 scores, with performance comparable to human coders when benchmarked against an expert-defined gold standard. Notably, MetaMate demonstrated advanced mathematical reasoning and semantic comprehension, surpassing keyword-based approaches and avoiding common human errors. As the first LLM-powered data extraction tool designed specifically for educational research, MetaMate has the potential to significantly streamline the systematic review process and reduce time and effort for researchers. MetaMate is available at https://metamate.streamlit.app.
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A community to ensure equitable access and benefits from AI in Education
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From
www
Людям потрібно перестати конкурувати один з одним. Ми тепер на порозі виживання як вид
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With the rise of ChatGPT and other generative AI tools like Gemini by Google, Ernie Bot by Baidu, and even Copilot in Microsoft365, what does this mean for us as educators?
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Successful data science education requires a holistic approach that involves modifications in how we teach data sciences and reinforcement of lessons throughout the course, writes Ellen Bell
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Making data open access has become a cornerstone of transparent and collaborative research practices. Here, Jon Petters provides a brief guide on how to do it, emphasising accessibility, reproducibility and interoperability |
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Apps like SlaySchool have brought lots of innovation to AI in education. In this continuing series of articles, let's take a deep dive into SlaySchool.
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www
Миттєво перекладай тексти і цілі документи. Точні переклади як для окремих осіб, так і для команд. Мільйони перекладають із DeepL щодня.
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www
This practice paper describes an ongoing insider action research within the EIT InnoEnergy ecosystem. Its goal is to inspire teaching staff from the seven EIT InnoEnergy double degree Master of Science programmes to integrate Artificial Intelligence
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www
This paper explores the emerging field of prompt engineering within generative AI, emphasizing its role as a critical intersection between art and science. Prompt engineering is identified as the key to unlocking the full potential of generative AI
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From
cogdogblog
There is a myth. Cue the string section. That there was once a place for all to gather, share, be festive, develop new connections, every course a hashtag, topple a few governments, people power. T…
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From
blog
Wondering if a pro account is worth the $20? Let's explore the similarities and differences between Gemini Advanced and Perplexity Pro.
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Do you teach one of those courses that promotes lots of student anxiety? Nowadays that seems to apply to all sorts of courses.
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From
osf
Systematic reviews and meta-analyses are crucial for synthesizing evidence but are time-consuming and labor-intensive, especially during data extraction. To address this challenge, we developed MetaMate, an open-access web-based tool leveraging large language models (LLMs) for automated data extraction in educational systematic reviews and meta-analyses. MetaMate utilizes a hierarchical schema and divide-and-conquer approach in its extraction chain, and a from-global-to-local lens and example retriever in its verification chain. We evaluated MetaMate’s performance on 32 empirical studies, extracting 20 data elements related to participants and interventions. MetaMate achieved high precision, recall, and F1 scores, with performance comparable to human coders when benchmarked against an expert-defined gold standard. Notably, MetaMate demonstrated advanced mathematical reasoning and semantic comprehension, surpassing keyword-based approaches and avoiding common human errors. As the first LLM-powered data extraction tool designed specifically for educational research, MetaMate has the potential to significantly streamline the systematic review process and reduce time and effort for researchers. MetaMate is available at https://metamate.streamlit.app.
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An introduction to individual research metrics and how to discover how your own profile and data are represented online, in part one of Ioannis Glinavos’ advice on managing metrics
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From
www
Leading education and policy organizations in the TeachAI initiative launched Foundational Policy Ideas for AI in Education, a resource to help leaders understand and consider policies that responsibly address AI in teaching and learning.
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This Education Spotlight, the second in a series of three, presents key lessons and inspiring examples of policy and practice to inform how traditional higher education programmes, like bachelor’s degrees, can effectively cultivat |