Sweet GrAIpes
Tim Dasey“Sour grapes” are the goals we once thought out of reach. Sweet GrAIpes explores how educators can reach them—through better pedagogy, durable skills, and thoughtful ways of teaching about AI.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 82 | Founded | 2 years ago | Last Issue | 4 days ago |
| Active | |||||
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timdasey.substack.comLatest Issues
AI Drives a New Era of Qualitative Analysis, But Will Academia Allow It?
Photo by Miikka Luotio on Unsplash
Ask just about any educator what will be most difficult for someone new to teaching, and class management is usually top of the list. It’s a big skill bucket, including intuitive class awareness and actio...
Productive Struggle is Misunderstood (2 of 2)
Photo by Edz Norton on Unsplash
The first article in this series argued that productive struggle is misunderstood. The learning on a hard, open problem doesn’t happen during the struggle. The struggle loads a question the mind can’t yet an...
Productive Struggle is Misunderstood (1 of 2)
Photo by Hubert Buratynski on Unsplash
I coached girls youth soccer for about a decade. One of the aspects that amazed me is that the kids came back from a winter or summer break immediately better than they were at the end of the prior se...
Is It Time for AI Immersion Learning?
Photo by Vitolda Klein on Unsplash
In July of last year I intentionally injected novelty into my life. Jumped in with both feet. I tried to learn a new skill it wasn’t clear I was qualified for. It was terrifying. And confidence building....
An AI Education Approach That Can Scale Rapidly (3 of 3)
Photo by Raka Rahmadani on Unsplash
The first two articles in this series made the case for a specific kind of AI education built around meta-principles of intelligence that are durable, cross-subject, and developed through varied experien...
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Authors
The writers behind this newsletter.
AI-in-Education speaker, trainer, author, strategist, tinkerer, and consultant • 30 yrs at MIT, led AI and game R&D • Trained on machine and human learning (Ph.D. Biomedical Eng.)
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