The Impact of Artificial Intelligence on Teacher Burnout - A Systematic Literature Review

• In Event: AERA Roundtable Session Thursday 2:15 pm - Gold 1
  In Roundtable Session: Teaching with AI: Identities, Challenges, and Burnout

Abstract

This systematic literature review integrates empirical and theoretical findings on use of AI in teachers' work, aiming to explore how AI influences teacher burnout. By analyzing 20 relevant papers, we find that AI shows the potential to reduce teachers' workload in terms of administrative automation and curriculum planning support but may also cause a new burnout condition due to a lack of technical proficiency, identity uncertainty, and "technostress" caused by passive use of AI. This article suggests that future research should explore teachers' psychological experience, professional identity construction, and institutional guarantees in the process of embedding AI into instructional design, teaching, and assessment.

Authors

• Jingjing Yu, University at Albany - SUNY

• Peter Shea, University at Albany - SUNY