Keywords:-

Keywords: ChatGPT, generative artificial intelligence, higher education, Biology Education, AI literacy, technology utilization, Nigeria.

Article Content:-

Abstract

The rapid diffusion of generative artificial intelligence (GenAI) into higher education has created new opportunities for learning while also raising concerns about accuracy, academic integrity, digital inequality, and overreliance on automated outputs. This study examined awareness, utilization, challenges, and perceived institutional responses to ChatGPT among undergraduate Biology Education students at the University of Nigeria, Nsukka. A descriptive survey design was adopted. Eighty questionnaires were distributed to students across 100–400 levels, and 67 usable responses were returned, representing an 83.75% response rate. Data were collected using a researcher-developed Questionnaire on the Extent of Awareness and Usage of ChatGPT (QEAUC), which demonstrated an overall Cronbach’s alpha of .798. Frequency and percentage were used to analyse awareness items, while mean and standard deviation were used for utilization, challenges, and proposed solutions. The findings showed substantial

awareness of ChatGPT: respondents demonstrated awareness on seven of eight awareness items, although only 25.4% recognized that ChatGPT uses natural language processing to understand and respond to queries. Overall utilization was high (M = 2.81, SD = 0.81 on a 4-point scale), with particularly high use for content creation, academic research, education, assignments, brainstorming, and conversation practice. Respondents also agreed that important barriers included inadequate internet access (M = 3.64), training costs (M = 3.46), and rote or superficial use (M = 3.51). The strongest proposed solutions were free internet access (M = 3.85), free Wi-Fi (M = 3.82), curriculum integration (M = 3.76), and guided learning activities (M = 3.58). The study concludes that ChatGPT is already embedded in the academic practices of many participating Biology Education students, but effective integration requires AI literacy, reliable digital infrastructure, explicit institutional guidance, and assessment practices that preserve student thinking and academic integrity.

References:-

References

Baek, C., Tate, T., & Warschauer, M. (2024). “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI. Computers and Education: Artificial Intelligence, 7, 100294. https://doi.org/10.1016/j.caeai.2024.100294

Baig, M. I., & Yadegaridehkordi, E. (2024). ChatGPT in higher education: A systematic literature review and research challenges. International Journal of Educational Research, 127, 102411. https://doi.org/10.1016/j.ijer.2024.102411

Bhullar, P. S., Joshi, M., & Chugh, R. (2024). ChatGPT in higher education: A synthesis of the literature and a future research agenda. Education and Information Technologies, 29, 21501–21522. https://doi.org/10.1007/s10639-024-12723-x

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20, 43. https://doi.org/10.1186/s41239-023-00411-8

Deng, R., Jiang, M., Yu, X., Lu, Y., & Liu, S. (2025). Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies. Computers & Education, 227, 105224. https://doi.org/10.1016/j.compedu.2024.105224

Lo, C. K., Hew, K. F., & Jong, M. S.-y. (2024). The influence of ChatGPT on student engagement: A systematic review and future research agenda. Computers & Education, 219, 105100. https://doi.org/10.1016/j.compedu.2024.105100

Mohr, S., & Kühl, R. (2021). Acceptance of artificial intelligence in German agriculture: An application of the technology acceptance model and the theory of planned behavior. Precision Agriculture, 22, 1816-1844. https://doi.org/10.1007/s11119-021-09818-3

Nnaemeka, O. F., & Ogunbadejo, S. I. (2024). Awareness, knowledge, and perception of ChatGPT among undergraduates of Nnamdi Azikiwe University, Awka, Anambra State, Nigeria. International Journal of Research and Scientific Innovation, 11(3), 187-201. https://doi.org/10.51244/IJRSI.2024.1103014

Oladokun, B. D., Dogara, K., & Yusuf, M. (2024). Students’ attitudes and experiences with ChatGPT as a reference service tool in a Nigerian university: A comprehensive analysis of user perceptions. Gamification and Augmented Reality, 2, 36. https://doi.org/10.56294/gr202436

Ravšelj, D., Keržič, D., Tomaževič, N., Umek, L., Brezovar, N., Iahad, N. A., Abdulla, A. A., Akopyan, A., Aldana Segura, M. W., AlHumaid, J., et al. (2025). Higher education students’ perceptions of ChatGPT: A global study of early reactions. PLOS ONE, 20(2), e0315011. https://doi.org/10.1371/journal.pone.0315011

UNESCO. (2023). Guidance for generative AI in education and research. UNESCO.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926

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ONAH, E., NWOTOLO, P., UKWUEZE, W., EZEANYI, B., UGWUOTI, L., & AWOSIKA, O. (2026). ChatGPT Awareness and Utilization Among Undergraduate Biology Education Students at the University of Nigeria, Nsukka: Implications for Mathematics Education. International Journal Of Mathematics And Computer Research, 14(10), 6918-6926. https://doi.org/10.47191/ijmcr/v14i10.05