Mitigating Educator Burnout through Generative AI Integration: A Comprehensive Literature Review of Assessment and Pedagogical Transformation in Higher Education
The rapid assimilation of Generative Artificial Intelligence (GenAI) within higher education has precipitated a significant shift in faculty roles, characterized by a tension between pedagogical revolution and professional exhaustion. This research journal employs the Seven-Step Comprehensive Literature Review (CLR) methodology to analyze the multifaceted impact of GenAI on educator burnout. Synthesizing evidence from 29 empirical and theoretical sources, the study identifies "AI-induced educational anxiety"—driven by skills gaps and role identity threats—as a primary stressor. Conversely, findings demonstrate that strategic integration through administrative automation and assessment redesign can reclaim up to 80% of planning time and accelerate grading by a factor of ten. By reconciling the "Creativity Paradox" through the lens of Augmented Learning and Critical Media Literacy, this review provides a framework for institutional governance that prioritizes human empathy and high-level innovation over substitutive automation.
Authors
- AURELIO AGUITE JR (ORCID: https://orcid.org/0009-0000-7313-8922)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-22
- DOI
- https://doi.org/10.5281/zenodo.19698659
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00