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Scooped by
Yashy Tohsaku
May 2, 5:46 PM
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A teacher at a high school opens the semester with a policy: Your work may contain up to 20% Gen AI content. Cite it, or you get a zero. Is this an Explore this and more at TCEA TechNotes Blog, your go-to source for educational technology and teaching innovation.
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
May 2, 5:30 PM
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Experts say going back to school for a graduate degree is one way to hedge against a rapidly changing labor market.
Via EDTECH@UTRGV
Google offers various AI-powered programs, training, and tools to help advance your skills. Develop AI skills and view available resources.
Via EDTECH@UTRGV
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
May 2, 5:20 PM
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Student evaluations can be misleading. Learn what skews teaching ratings—and how to build a fairer, more effective faculty evaluation system.
Via Vladimir Kukharenko
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Rescooped by
Yashy Tohsaku
from AI for All
May 2, 5:19 PM
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'Not all engagement with AI chatbots looks the same – far from it.,,;
Via Leona Ungerer
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
May 2, 5:18 PM
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In this paper, we make the case that a scientific theory of deep learning is emerging. By this we mean a theory which characterizes important properties and statistics of the training process, hidden representations, final weights, and performance of neural networks. We pull together major strands of ongoing research in deep learning theory and identify five growing bodies of work that point toward such a theory: (a) solvable idealized settings that provide intuition for learning dynamics in realistic systems; (b) tractable limits that reveal insights into fundamental learning phenomena; (c) simple mathematical laws that capture important macroscopic observables; (d) theories of hyperparameters that disentangle them from the rest of the training process, leaving simpler systems behind; and (e) universal behaviors shared across systems and settings which clarify which phenomena call for explanation. Taken together, these bodies of work share certain broad traits: they are concerned with the dynamics of the training process; they primarily seek to describe coarse aggregate statistics; and they emphasize falsifiable quantitative predictions. We argue that the emerging theory is best thought of as a mechanics of the learning process, and suggest the name learning mechanics. We discuss the relationship between this mechanics perspective and other approaches for building a theory of deep learning, including the statistical and information-theoretic perspectives. In particular, we anticipate a symbiotic relationship between learning mechanics and mechanistic interpretability. We also review and address common arguments that fundamental theory will not be possible or is not important. We conclude with a portrait of important open directions in learning mechanics and advice for beginners. We host further introductory materials, perspectives, and open questions at learningmechanics.pub.
Via Vladimir Kukharenko
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Rescooped by
Yashy Tohsaku
from TIC & Educación
May 2, 5:17 PM
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Por qué los trabajos impecables hechos con IA pueden esconder cero aprendizaje real. Esta semana en TotemAI: estudio publicado en Nature, simulaciones interactivas en Gemini Pro, qué es Canvas y 4 prompts copiables para no quedarte en la superficie cuando aprendes con IA.
Via Gumersindo Fernández
If we design AI systems that shortcut the learning process, we risk undermining the very purpose and value of education.
Via EDTECH@UTRGV
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
April 29, 5:02 PM
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Visual ideas are all around us if you know where to look. Find inspiration here for approaches to eLearning visual design.
Via Vladimir Kukharenko
Get a YouTube video transcript in seconds: copy TXT, and download SRT/VTT — free, no sign-up.
Via Ana Cristina Pratas
"Driven by a bottom-up partnership between the Faculty Center for Teaching and Learning and the Division of Digital Learning, the University of Central Florida established an evolving campus infrastructure of policies, training, and a national conference to guide the ethical and effective integration of generative artificial intelligence into teaching and learning."
Via EDTECH@UTRGV
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
April 29, 5:00 PM
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How can AI improve student thinking? Explore powerful, classroom-tested strategies that turn AI into a debate partner, tutor, and catalyst for deeper learning.
Via Vladimir Kukharenko
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
May 2, 5:31 PM
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Read the latest article version by Christian Fuchs, Joel Museba, Kevin Friesch at Open Research Europe
Via Vladimir Kukharenko
Well once again, trying to make a living got in the way of sharing information, so apologies for the long delay since the last of these newsletters. Hopefully I can get back on track soon and start producing at least one each month. Anyway, excuses aside, there are some really great tools and interesting articles (mainly about AI of course) in this edition.
Via Nik Peachey
Researchers looked at more than 150,000 prompts from more than 4,400 K-12 teachers interacting with AI. Here's what they found.
Via EDTECH@UTRGV
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
May 2, 5:21 PM
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
May 2, 5:19 PM
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Sometimes, the simplest instruction turns out to be the best. A few weeks ago, I taught two classes that turned out so well that I’m still riding that wave as I write this now. The professor and I’s entire class plan was to bring down carts of books related to the class topic, have the students pick something they were interested in, and then read for about
Via Vladimir Kukharenko
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
May 2, 5:19 PM
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Imagine one website that contains OER for pictures, music, textbooks, e-books, research, courseware, and so much more. It’s certainly possible.
Via Vladimir Kukharenko
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
May 2, 5:18 PM
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Sarah stared at her phone in disbelief. Another data breach. Another company apologizes for losing... Tagged with web5, cryptography, dids, decentralization.
Via Vladimir Kukharenko
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Scooped by
Yashy Tohsaku
April 30, 10:09 AM
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Why your AI tools aren't delivering the ROI you were promised — and what to do about it
If we design AI systems that shortcut the learning process, we risk undermining the very purpose and value of education.
Via EDTECH@UTRGV
A private place to save your most precious notes, images, quotes and highlights. Enhanced with AI to help you remember without wasting time on categorizing & organizing.
Via Ana Cristina Pratas
"Generative artificial intelligence is pushing teaching and learning away from a model centered on producing answers and academic artifacts and toward one that places greater weight on process, judgment, reflection, and applied thinking. In conversations with campus leaders, three priorities emerged."
Via EDTECH@UTRGV
Listening to faculty concerns about generative AI can help institutions respond with more clarity, precision, and trust.
Via EDTECH@UTRGV
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