Leadership Theories in AI-Driven Higher Education

Leadership Theories in AI-Driven Higher Education This graduate-level teaching resource examines how transformational, servant, inclusive, and leader-member exchange (LMX) leadership theories can be applied to institutional decisions involving generative AI in higher education. The course addresses AI governance, academic integrity, privacy, equitable access, accountability, and institutional leadership through case analysis, research evaluation, and strategy development.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-24
DOI
https://doi.org/10.5281/zenodo.23615763
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Leadership Theories in AI-Driven Higher Education

Mopelols Fatile
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

Leadership Theories in AI-Driven Higher Education

Mopelols Fatile
article en

Abstract

Leadership Theories in AI-Driven Higher Education This graduate-level teaching resource examines how transformational, servant, inclusive, and leader-member exchange (LMX) leadership theories can be applied to institutional decisions involving generative AI in higher education. The course addresses AI governance, academic integrity, privacy, equitable access, accountability, and institutional leadership through case analysis, research evaluation, and strategy development.

Zenodo (CERN European Organization for Nuclear Research)
Grand Canyon University (US)
Openalex Percentile: Top 6%
Artificial Intelligence in Education
DOIOpen Access PDFOpenAlex
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Leadership Theories in AI-Driven Higher Education — Mopelols Fatile · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS