Library
Guides, tools, and resources shared by the community.
9 resources
Affective Responses to AI Tutoring in Elementary Mathematics
“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 effect sizes are modest but the qualitative data is where it gets interesting. Students who reported higher anxiety also showed more off-task behavior in the AI condition, but not in the human tutor condition. Worth reading alongside the Xu Lab’s companion study on reading partners.”
AI Pedagogy Project: Teaching Resources
“Comprehensive collection of syllabi, assignments, and rubrics for teaching with AI. Start here if you’re designing a new course. The assignment templates are especially useful — they give you a starting point that you can adapt to your discipline.”
AI Literacy Framework for K-12
“ISTE’s new framework. The competency mapping is useful as a starting point for K-12 programs. Maps well to existing CS standards but adds the critical thinking layer that most AI literacy curricula miss.”
The Schools Teaching Students to Think With AI
“The framing is always ‘ban it or embrace it’ — this article finally names the middle ground: teach students to be critical users. The examples from Denver and Atlanta are particularly good — teachers who moved from prohibition to structured AI use saw better critical thinking outcomes.”
Evidence-Inspired Innovation in AI Education
“Dockterman’s framework for thinking about innovation that’s grounded in evidence rather than hype. The distinction between evidence-based and evidence-inspired is genuinely useful for anyone building AI tools for learning.”
Using AI for Formative Assessment
“Practical tips for using AI to generate formative assessments. The Bloom’s taxonomy prompt templates are genuinely useful. I’ve been using the exit ticket generator with my methods course and it saves about an hour per week.”
Graidients: Making AI Ethics Visible
“Interactive tool for teaching AI ethics. Students can see how different training data affects model outputs. Great for sparking discussion about bias. The classroom activities are well-designed — each one takes about 20 minutes and works for grades 6-12.”
Fundamentals of Teaching with Generative AI
“TLL’s self-paced course. Best for faculty who are just starting to think about AI in their teaching. Covers prompt design, assignment redesign, and policy-setting. Takes about 4 hours total.”
Expert Learning in the Age of AI
“Tina Grotzer on how AI changes what it means to be an expert learner. 30 min, dense with ideas. Listen twice. The section on metacognition and AI scaffolding is the most original thinking I’ve heard on this topic.”