Artificial Intelligence in Higher Education: A Case Study of Faculty Teaching Methodologies at a Private University

Authors

Ellen Ramsey, Lynn UniversityFollow
George Antoniou, Lynn UniversityFollow
Matteo Peroni, Lynn UniversityFollow
Brent Muckridge, Lynn UniversityFollow
Raouf Ghattas (R.G.), Lynn UniversityFollow
Philip L. Fazio, Lynn UniversityFollow
Wendy Wallberg, Lynn UniversityFollow
Saidi Porta, Lynn UniversityFollow
Gary Solomon, Lynn UniversityFollow
Mary Smith, Lynn UniversityFollow
Kristen Migliano, Lynn UniversityFollow
Karima Lanfranco, Lynn UniversityFollow
Lianfen Qian, Lynn University
David G. Wolf, Lynn UniversityFollow

Document Type

Article

Publication Date

6-30-2025

DOI

https://doi.org/10.55549/ijasse.43

Abstract

This qualitative case study investigates faculty perspectives on artificial intelligence (AI) integration within a private university context, examining pedagogical, administrative, and ethical implications. Data collected through semi-structured interviews with faculty across four disciplines revealed ambivalent yet cautiously optimistic attitudes. Participants acknowledged AI’s potential to enhance personalized learning and reduce bureaucratic burdens through automation. However, three critical barriers emerged: (1) insufficient institutional technological infrastructure, (2) lack of systematic faculty training programs, and (3) unresolved ethical dilemmas surrounding data privacy, algorithmic bias, and academic integrity. Notably, while faculty welcomed AI as a supplemental tool, they unanimously emphasized the irreplaceable role of human judgment in pedagogy. The study contributes to emerging scholarship on educational technology by proposing an ethical implementation framework that reconciles efficiency gains with core academic values. Practical recommendations address policy development and targeted professional training to support responsible adoption. These findings offer timely insights for higher education institutions navigating AI integration while preserving pedagogical integrity and equity considerations.

Publication

International Journal of Academic Studies in Science and Education (IJASSE)

Volume

3

Issue

1

Pages

1-30

Department

College of Business and Management

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Peer Reviewed

1

Publication History

Received: 18 November 2024 Accepted: 15 May 2025

Comments

This was a Lynn University, College of Business & Management 14-member, faculty-led research study.

Recommended Citation

Ramsey, E., Antoniou, G., Peroni, M., Muckridge, B., Ghattas, R. G., Fazio, P. L., Wallberg, W., Porta, S., Solomon, G., Smith, M., Migliano, K., Lanfranco, K., Qian, L., & Wolf, D. G. (2025). Artificial intelligence in higher education: A case study of faculty teaching methodologies at a private university. International Journal of Academic Studies in Science and Education (IJASSE), 3(1), 1-30. https://doi.org/10.55549/ijasse.43