Resources shared by the community

“This confirms what Ling’s team saw in the 4th grade pilot — AI tutors work well for confident learners but can increase anxiety for struggling students. The affective dimension is the missing piece.”

“The framing is always ‘ban it or embrace it’ — this article finally names the middle ground: teach students to be critical users.”

“Interactive tool for teaching AI ethics. Students can see how different training data affects model outputs. Great for sparking discussion about bias.”

“Comprehensive collection of syllabi, assignments, and rubrics for teaching with AI. Start here if you’re designing a new course.”

“Dockterman’s framework for thinking about innovation that’s grounded in evidence rather than hype. Required reading for anyone building AI ed tools.”

“TLL’s self-paced course. Best for faculty who are just starting to think about AI in their teaching. Covers basics without being condescending.”

“ISTE’s new framework. Assumes a deficit model that I don’t love, but the competency mapping is useful as a starting point.”

“Practical tips for using AI to generate formative assessments. The Bloom’s taxonomy prompt templates are genuinely useful.”

“Tina Grotzer on how AI changes what it means to be an expert learner. 30 min, dense with ideas. Listen twice.”