Reflections on the Merit and Perils of AI in Higher Education: Five Early Adopter’s Perspectives

The rapid integration of generative artificial intelligence (GenAI) tools into higher education has prompted both enthusiasm and concern among faculty members. While AI tools such as ChatGPT, Claude, and Scite.ai offer significant pedagogical benefits—including enhanced efficiency, personalized learning, and automated instructional support—they also introduce challenges related to academic integrity, cognitive engagement, and ethical considerations. This study investigates the beliefs and practices of five early-adopter faculty members from diverse disciplines regarding the adoption of GenAI in teaching and learning at a research intensive university in the United States. Utilizing a collaborative action research methodology, the study examines faculty motivations, challenges, strategies and reflections for responsible AI integration. Findings reveal that faculty members recognize AI’s potential to automate administrative tasks, support student learning through personalized assistance, and foster creativity in instructional design. However, concerns persist regarding over-reliance on AI, diminished student critical thinking, and the ethical implications of AI-generated content. Participants underscore the need for structured faculty training, robust institutional policies, and interdisciplinary collaboration to ensure AI is used responsibly and effectively. The study highlights the evolving role of faculty in an AI-driven educational landscape, shifting from content delivery to mentorship and critical engagement. As higher education institutions navigate the complexities of AI adoption, the research underscores the importance of AI literacy, ethical guidelines, and assessment redesign to mitigate risks and maximize benefits. This study contributes to the growing discourse on AI in higher education by offering evidence-based recommendations for sustainable and responsible AI integration. By fostering informed discussions among faculty and administrators the findings aim to guide the development of strategic frameworks that balance innovation with ethical considerations in higher education.

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Publication Details

Journal
International Journal of Technology in Education and Science
Published
2025-06-02
DOI
https://doi.org/10.46328/ijtes.648
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Reflections on the Merit and Perils of AI in Higher Education: Five Early Adopter’s Perspectives

Mehmet Aydeniz
International Journal of Technology in Education and Science
Artificial Intelligence in Healthcare and Education
article

Reflections on the Merit and Perils of AI in Higher Education: Five Early Adopter’s Perspectives

Mehmet Aydeniz
article en

Abstract

The rapid integration of generative artificial intelligence (GenAI) tools into higher education has prompted both enthusiasm and concern among faculty members. While AI tools such as ChatGPT, Claude, and Scite.ai offer significant pedagogical benefits—including enhanced efficiency, personalized learning, and automated instructional support—they also introduce challenges related to academic integrity, cognitive engagement, and ethical considerations. This study investigates the beliefs and practices of five early-adopter faculty members from diverse disciplines regarding the adoption of GenAI in teaching and learning at a research intensive university in the United States. Utilizing a collaborative action research methodology, the study examines faculty motivations, challenges, strategies and reflections for responsible AI integration. Findings reveal that faculty members recognize AI’s potential to automate administrative tasks, support student learning through personalized assistance, and foster creativity in instructional design. However, concerns persist regarding over-reliance on AI, diminished student critical thinking, and the ethical implications of AI-generated content. Participants underscore the need for structured faculty training, robust institutional policies, and interdisciplinary collaboration to ensure AI is used responsibly and effectively. The study highlights the evolving role of faculty in an AI-driven educational landscape, shifting from content delivery to mentorship and critical engagement. As higher education institutions navigate the complexities of AI adoption, the research underscores the importance of AI literacy, ethical guidelines, and assessment redesign to mitigate risks and maximize benefits. This study contributes to the growing discourse on AI in higher education by offering evidence-based recommendations for sustainable and responsible AI integration. By fostering informed discussions among faculty and administrators the findings aim to guide the development of strategic frameworks that balance innovation with ethical considerations in higher education.

International Journal of Technology in Education and ScienceVol. 9(4)
University of Tennessee at Knoxville (US)
Openalex Percentile: Top 92%
Artificial Intelligence in Healthcare and Education
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