A Framework for Institutional Change in the Age of AI
Perl-Nussbaum & Finkelstein (2026) adapt institutional-change models to generative AI as an arrival technology — one that entered classrooms before pedagogical evidence existed — yielding a six-dimension framework and design implications for leading change under uncertainty ( fac...
A didactical-driven teacher assistant for a dimensional modeling course
Laurent Brisson, Maria Segarra, Grégory Smits (2026) — IMT Atlantique. arXiv preprint (cs.CY). 📄 Full text (arXiv) Brisson, Segarra and Smits present a didactically-driven LLM teacher assistant for a university dimensional modeling (data warehousing) course. Unlike most education...
Active Learning
pedagogy — students constructing understanding through doing and discussing rather than receiving — is tested against AI in forap-pjbl-computing-education , q-learning-lab-rl-teaching , and epistemic-emotions-collaborative-problem-solving , where agentic AI can either amplify or...
Faculty Orientations Shape Adoption of AI in Research and Teaching
Atherton, Descamps, Holmes, Vizcarra, Sui, Webel & Foley (2026) — arXiv:2605.18140 📄 arXiv · PDF · local Key Finding: AI Pedagogical Orientation A mixed-methods survey of 90 STEM faculty in the RCSA Cottrell community identified a coherent latent construct — AI pedagogical orient...
LLMs for Culturally Relevant K-12 Pedagogy
Synthesis Explores LLMs to support K-12 teachers in designing culturally relevant pedagogy. 78% of teachers found LLM suggestions helpful for diversifying curriculum materials. Addresses equity gaps in AI educational tools by centering marginalized perspectives. Connections cultu...
Principled AI in Education
📄 Full text: arXiv:2510.01467 · local — updated to v2 (revised 2026-07-24) Principled AI in Education Rejecting the binary promise-vs-peril discourse and the rush to immediate implementation, Finkelstein (2025) proposes a principled framework anchored in three questions: What are...
When Should Teachers Control AI Generation for Mathematics Visuals?
Teacher Control of AI-Generated Mathematics Visuals Zhengxu Li, Junling Wang, April Yi Wang (2026) — ACM L@S 2026. Study of when teachers should control AI-generated classroom visuals. 📄 Full text (arXiv) Key Findings Generative AI can help teachers rapidly create classroom-ready...