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...
Change Management
Institutional and organizational change management in higher education contexts. Related Pages ai-pedagogical-orientation — AI pedagogical orientation drives faculty AI adoption more than institutional factors institutional-change-framework-ai — Six-dimension framework for adapti...
DOT Framework Survey: Practitioner Beliefs and Behaviors in AI-Enhanced Education
A 2026 cross-sectional survey (n=72) by Gibson, Azukas, and Knezek examined how higher education practitioners think about and use AI in teaching, grounded in the DOT Framework — a synthesis of design-thinking-in-education and open-systems-theory . Core Findings Three-Factor Beli...
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...