Teaching and Learning with AI Conference

This research examines student resistance to AI adoption in higher education despite significant institutional investments in AI technology. Using the Technology Acceptance Model (TAM) as a framework, this qualitative study investigates factors influencing student acceptance or resistance to AI, how educators' approaches align with or diverge from TAM principles, and which teaching methods have succeeded or failed in facilitating AI adoption. Through student surveys, a focus group with university leaders, and analysis of educational artifacts, this study aims to provide actionable insights for higher education leaders seeking to prepare students for AI-literate careers while maximizing institutional investments in AI learning technologies.