How to reimagine the classic framework of learning objectives.
https://www.edweek.org/technology/opinion-blooms-taxonomy-needs-an-update-for-the-ai-age/2026/04…
How to reimagine the classic framework of learning objectives.
https://www.edweek.org/technology/opinion-blooms-taxonomy-needs-an-update-for-the-ai-age/2026/04…
AI agents are reshaping learning by performing tasks autonomously, but platforms like Moodle can detect them through behavioral analytics, shifting the real challenge from detection to validating authentic learning.
https://moodle.com/news/field-notes-when-ai-agents-show-up-to-class…
Highlights a curated set of lesser-known online tools that offer powerful features for free, helping users reduce reliance on costly subscriptions.
Veteran teacher Jen Roberts explains why generative tools are more than just a platform for cheating, they’re a way to make classrooms fairer and more human.
Gemma 4 is a local-first multimodal AI that runs on devices for better privacy, lower costs, and offline use, with flexible dense and sparse architectures for different tasks.
As AI begins to replicate human work, the real concern shifts from cheating to a deeper question: what meaning do learning and work hold in a world where many already feel disconnected from what they do?
https://marcwatkins.substack.com/p/what-happens-when-students-stop-believing…
The article critiques AI in education as leading to “cognitive surrender,” but reframes it as a matter of trust, arguing AI can function like books or writing: a tool that guides, not replaces, human thinking.
https://buildcognitiveresonance.substack.com/p/an-illustrated-guide-to-resisting…
Anthropic’s Sonnet 4.6 stands out among LLMs like ChatGPT and Gemini by introducing interactive visuals that make learning more immersive and exploratory.
Generative AI forces education to shift from producing outputs to developing students’ ability to frame problems, guide AI, and critically evaluate results, making true understanding, not artifacts, the core learning goal.
https://www.chronicle.com/article/when-ai-can-do-everything-what-is-left-to-learn…
AI cheating isn’t mainly a detection or ethics problem, it reflects poor course design, and the real solution is creating engaging, process-focused learning experiences that make authentic work more meaningful than shortcutting with AI.
A structured classroom intervention using ChatGPT showed that, with guidance, students can critically evaluate AI outputs, enhancing AI literacy, self-regulated learning, and ethical awareness in physiology education.
https://journals.physiology.org/doi/full/10.1152/advan.00174.2025…
Discover 15 future-proof skills that AI can’t replace, from data analysis to emotional intelligence, ensuring your career stays relevant.
https://www.gadgetreview.com/skills-you-need-to-learn-to-make-yourself-future-proof-to-ai…
AI literacy is now essential across fields, and free self-paced courses from Harvard University and MIT offer accessible, high-quality training for both beginners and developers.
https://aitoolsclub.com/get-certified-by-harvard-and-mit-10-free-ai-courses-you-can-start-today…
Pedagogy of risk is a teaching approach that embraces the iterative nature of the learning process. It relies on scaffolding assessments, and seeing failure as a natural part of the learning process. The focus is not on grades, but on …
One professor was surprised to learn how easy digital technology makes it for students to cheat on class participation assignments and some exams.