Adoption of Artificial Intelligence (Gen AI) in teaching pedagogies in Higher Education: A Faculty Perspective

The 21st century marks a transformative shift in education with the integration of Generative Artificial Intelligence (Gen AI) into teaching pedagogies. AI-driven tools are increasingly shaping instructional methods, curriculum design, and student engagement. However, while these technologies offer innovative solutions, they also present challenges related to adaptability, ethical considerations, and pedagogical effectiveness. This study explores faculty perspectives on the adoption of Gen AI in higher education, identifying commonly used AI tools, their perceived benefits, concerns, and the extent of their integration into teaching practices. A mixed-method approach, combining surveys and expert interviews, is employed to analyse faculty attitudes and institutional readiness for AI-driven pedagogy. The study further examines how Gen AI enhances or disrupts traditional teaching methodologies and its implications for academic integrity, personalized learning, and faculty workload. Findings from this research provide valuable insights for educators and policymakers, aiding in the development of strategic frameworks to optimize AI adoption in higher education.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-28
DOI
https://doi.org/10.5281/zenodo.15101034
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Adoption of Artificial Intelligence (Gen AI) in teaching pedagogies in Higher Education: A Faculty Perspective

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Adoption of Artificial Intelligence (Gen AI) in teaching pedagogies in Higher Education: A Faculty Perspective

article en

Abstract

The 21st century marks a transformative shift in education with the integration of Generative Artificial Intelligence (Gen AI) into teaching pedagogies. AI-driven tools are increasingly shaping instructional methods, curriculum design, and student engagement. However, while these technologies offer innovative solutions, they also present challenges related to adaptability, ethical considerations, and pedagogical effectiveness. This study explores faculty perspectives on the adoption of Gen AI in higher education, identifying commonly used AI tools, their perceived benefits, concerns, and the extent of their integration into teaching practices. A mixed-method approach, combining surveys and expert interviews, is employed to analyse faculty attitudes and institutional readiness for AI-driven pedagogy. The study further examines how Gen AI enhances or disrupts traditional teaching methodologies and its implications for academic integrity, personalized learning, and faculty workload. Findings from this research provide valuable insights for educators and policymakers, aiding in the development of strategic frameworks to optimize AI adoption in higher education.

Zenodo (CERN European Organization for Nuclear Research)
University of Mumbai (IN)
Quality Education
Openalex Percentile: Top 56%
Artificial Intelligence in Healthcare and Education
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Adoption of Artificial Intelligence (Gen AI) in teaching pedagogies in Higher Education: A Faculty Perspective · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS