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A strong, pragmatic article on AI in teaching: not about replacing teacher judgment, but about saving time, improving routine work, and enabling tasks that might otherwise never get done. Its value lies in showing concrete, practical uses of AI, from …

The article argues that open-source AI’s real advantage is composability and user control. It warns that increasingly closed, standardized AI models risk creating a monoculture, while open protocols, tools, memory, and customizable agent frameworks preserve diversity and innovation.

https://www.oreilly.com/radar/why-open-source-matters-for-ai…

People still deeply value authorship, even as AI challenges traditional ideas about who “creates” a text; labeling something “AI-generated” now serves a social function. It also suggests AI prose has recognizable stylistic patterns, overconfident connections, odd phrasing, and synthetic “authorial” …

Predictive analytics in universities often overstates how accurately student outcomes can be forecast from incomplete, biased historical data.True educational insight requires context, human judgment, and understanding students’ individual circumstances, not simply labeling them “at risk” based on dashboards.

Predictive analytics:

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The new EDUCAUSE Horizon Report identifies key signals of change in teaching and learning, helping institutions anticipate major educational technology trends.

https://library.educause.edu/resources/2026/5/2026-educause-horizon-report-teaching-and-learning-edition…

A practical framework for deciding when AI genuinely supports learning and when it risks replacing productive struggle, critical thinking, and human interaction.
https://www.facultyfocus.com/articles/teaching-with-technology-articles/should-we-integrate-ai-into-our-teaching-evidence-based-guidelines-for-deciding-when-ai-belongs/ …

A Nature career column shares lessons from experimenting with ChatGPT to support the grading of undergraduate coding assignments.

https://www.nature.com/articles/d41586-026-01139-x…

This article explores how the next generation of students may arrive in higher education expecting constant connectivity, hybrid learning, and more seamless digital experiences.

https://edtechmagazine.com/higher/article/2026/05/what-will-gen-alpha-expect-their-higher-ed-experience…

If we continue to prioritise memorisation in an age of wall-to-wall information, we send the wrong message to our students and employers. Michelle Seref offers advice on assessment that builds critical thinking skills.

https://www.timeshighereducation.com/campus/assessing-students-when-artificial-intelligence-ubiquitous…

New guidelines for the 64-campus system expand artificial intelligence in teaching and student support while adding guardrails for data privacy and high-risk uses.

https://www.insidehighered.com/news/student-success/academic-life/2026/05/04/suny-sets-systemwide-ai-policy…

Microsoft updated its Education AI Toolkit to help schools move from AI pilots to scalable, practical implementation across teaching, learning, and multilingual support.

What’s new in the Microsoft Education AI Toolkit

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Teach in the Microsoft 365 Copilot App gives educators with a Microsoft 365 Education license free access to AI tools for creating and adapting lesson plans, quizzes, rubrics, and other teaching materials.

https://support.microsoft.com/en-us/topic/teach-in-the-microsoft-365-copilot-app-c4b05fdd-527f-4f85-9775-afb0781a9178…

A new library-based initiative at the University of Virginia embeds hands-on AI learning and workforce skills across disciplines.

https://www.insidehighered.com/news/student-success/college-experience/2026/05/01/teaching-ai-doing-not-studying…

Generative artificial intelligence has unsettled higher education, raising fears that students will lose the ability to think. Drawing on classroom experience and student feedback, we argue that grounded inquiry sharpens judgement in Earth science teaching by limiting AI to set …