Chatgpt in University Pedagogy: Lecturers’ Adoption, Pedagogical Value, and Implications for Students’ Critical Thinking in Southeast Nigeria

The integration of Artificial Intelligence (AI) in higher education presents both opportunities and challenges for teaching practices. This study examines the pedagogical implications of ChatGPT adoption among lecturers in Southeast Nigerian universities, focusing on reliance, complementarity with traditional teaching, and perceived professional impacts. Guided by Uses and Gratifications Theory and Technological Determinism, a mixed-methods approach was employed, combining surveys of 370 lecturers with in-depth interviews of 24 purposively selected participants. Quantitative findings indicate high awareness and moderate reliance on ChatGPT, particularly for content generation and time efficiency. Lecturers perceive ChatGPT as enhancing teaching by simplifying complex concepts, fostering engagement, and providing instant feedback, without undermining instructional authority. Concerns regarding job security were minimal, supported by regression results showing no significant predictive relationship between ChatGPT use and perceived insecurity. Qualitative insights underscore lecturers’ emphasis on professional judgment, classroom interaction, and mentorship, areas beyond AI’s capacity. However, lecturers expressed concern over potential student over-reliance, which could impede critical thinking and independent problem-solving. The study concludes that ChatGPT functions as a pedagogical support tool, augmenting teaching efficiency while preserving lecturers’ instructional control. Recommendations include developing institutional AI-use guidelines, integrating AI literacy into curricula, and designing assessment methods that encourage reflection and originality. This research contributes empirical evidence from a Global South context, reframing the discourse on AI adoption in higher education from labor displacement to cognitive and pedagogical enhancement.

ChatGPT, Artificial Intelligence, Higher Education

1. Baidoo anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. [Google Scholar] [Crossref]

2. Blumler, J. G., & Katz, E. (1974). The uses of mass communications: Current perspectives on gratifications research. Sage Publications. [Google Scholar] [Crossref]

3. Carr, N. (2010). The shallows: What the Internet is doing to our brains. New York: W. W. Norton. [Google Scholar] [Crossref]

4. Carr, N. (2020). The Shallows: What the Internet is doing to our brains (2nd ed.). W. W. Norton & Company. [Google Scholar] [Crossref]

5. Firat, M. (2023). How ChatGPT can transform autodidactic experiences and open education? Journal of Educational Technology. [Google Scholar] [Crossref]

6. Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. [Google Scholar] [Crossref]

7. Jonassen, D. H. (1999). Designing constructivist learning environments. In C. M. Reigeluth (Ed.), Instructional design theories and models (pp. 215–239). Mahwah, NJ: Lawrence Erlbaum. [Google Scholar] [Crossref]

8. Kasneci, E., et al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. [Google Scholar] [Crossref]

9. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. London: Pearson. [Google Scholar] [Crossref]

10. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2021). Intelligence unleashed: An argument for AI in education. Pearson Education. [Google Scholar] [Crossref]

11. McLuhan, M. (1964). Understanding media: The extensions of man. McGraw-Hill. [Google Scholar] [Crossref]

12. Mollick, E., & Mollick, L. (2023). Assigning AI: Seven approaches for students, with prompts. Harvard Business Publishing Education. [Google Scholar] [Crossref]

13. Montenegro Rueda, M., Fernández Cerero, J., Fernández Batanero, J. M., & López Meneses, E. (2023). Impact of the implementation of ChatGPT in education: A systematic review. Computers, 12(8),153. [Google Scholar] [Crossref]

14. OpenAI. (2022). ChatGPT overview and release information. (DergiPark) [Google Scholar] [Crossref]

15. World Heritage Encyclopedia / McLuhan, M. (n.d.). Global village concept. (Wikipedia) [Google Scholar] [Crossref]

16. Owuamalam, C. K. (2010). Theory in social research: Conceptualisation and application. University Press. [Google Scholar] [Crossref]

17. Ruggiero, T. E. (2000). Uses and gratifications theory in the 21st century. Mass Communication & Society, 3(1), 3–37. https://doi.org/10.1207/S15327825MCS0301_02 [Google Scholar] [Crossref]

18. Salomon, G. (1990). Cognitive effects with and of computer technology. Communication Research, 17(1), 71–94. [Google Scholar] [Crossref]

19. Selwyn, N. (2019). Should robots replace teachers?. Cambridge: Polity Press. [Google Scholar] [Crossref]

20. Smith, M. R., & Marx, L. (Eds.). (1994). Does technology drive history? The dilemma of technological determinism. MIT Press [Google Scholar] [Crossref]

21. Sundar, S. S., & Limperos, A. M. (2013). Uses and gratifications of digital media: A review. Handbook of Media Use and Effects, 8, 21–34. [Google Scholar] [Crossref]

22. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press. [Google Scholar] [Crossref]

23. Zhai, X. (2022). ChatGPT user experience: Implications for education. Smart Learning Environments, 9(1), 1–17. [Google Scholar] [Crossref]

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