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Perceived Challenges and Benefits of Integrating Artificial Intelligence into Entrepreneurship Research Among Business Education Students in Rivers State Universities

Firima Sunday, PhD

Abstract

This study investigated the perceived challenges and benefits of integrating Artificial Intelligence (AI) into entrepreneurship research among business education students in Rivers State universities. Guided by two research questions and two null hypotheses, the study adopted an analytic descriptive survey design. The population comprised 543 postgraduate business education students, from which a proportionate sample of 139 respondents was drawn. Data were collected using a validated 16-item questionnaire with a reliability coefficient of 0.79 and 0.77. Mean and standard deviation were used to answer the research questions, while Z-test was employed to test the hypotheses at 0.05 level of significance. Findings revealed that students faced major challenges such as inadequate curriculum content, limited hands-on AI training, insufficient ethical preparedness, and infrastructural deficits. However, the study also identified notable benefits, including enhanced research and data analysis skills, improved access to industry-aligned knowledge, support for entrepreneurial innovation, and readiness for the future of work. The Z-test results showed no significant difference in the mean scores of students from both universities on the perceived challenges and benefits, indicating that these issues are systemic across institutions. It recommended curriculum reform to embed practical AI applications and improved institutional support through access to AI tools and training. Key Words: Artificial Intelligence, Benefits, Business Education, Challenges, Entrepreneurship Research

Keywords

Artificial IntelligenceBenefitsBusiness EducationChallengesEntrepreneurship Research

References

Adeleke, T. O., & Bello, H. M. (2019). Enhancing experiential learning in business education through artificial intelligence integration. Journal of Business Education in Nigeria, 14(2), 45–60. Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W.W. Norton & Company. Chukwu, N. E. (2020). Student perceptions of artificial intelligence as a tool for informed decision-making in Nigerian tertiary institutions. International Journal of Educational Technology, 8(1), 22–35. Cockburn, I. M., Henderson, R., & Stern, S. (2018). The impact of artificial intelligence on innovation. National Bureau of Economic Research Working Paper Series, 24449, 1–29. https://doi.org/10.3386/w24449 Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy. International Journal of Information Management, 57, 101994. Emeka, P. C., & Nwankwo, L. C. (2021). Curriculum challenges of AI integration in business education: A study of Rivers State universities. Nigerian Journal of Education and Development, 10(3), 101–115. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. Ineye-Briggs, C. A. (2025, April 8–11). Digital piracy in the era of generative artificial intelligence and academic integrity: Synthesized perspectives from higher education managers in South-South Nigerian universities. Paper presented at the 27th Annual Conference of the Nationwide Association for Advancement of Knowledge, University of Uyo, Akwa Ibom State, Nigeria. Kayii, N. E., & James-Ngochindo, P. (2025, August 20–22). Influence of AI-driven learning tools on business studies pedagogy in public junior secondary schools in Rivers State. Paper presented at the 2nd Hybrid Conference of the Department of Educational Management, Rivers State University, Port Harcourt, Nigeria. Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46–60. https://doi.org/10.1016/j.futures.2017.03.006 Nwankwo, O. C. (2016). A practical guide to research writing for students of research enterprise. University of Port Harcourt Press. Nwineh, L. P., & Nwineh, L. (2019). Difficulties faced in doing research by students of vocational teacher education in Rivers State University. Rivers State University Journal of Education, 22(1&2), 99–112. Okafor, I. A. (2022). Artificial intelligence and business education curriculum in Nigeria: Gaps and reforms. African Journal of Business Innovation, 6(1), 88–102. Osoba, O. A., & Welser, W. (2017). An intelligence in our image: The risks of bias and errors in artificial intelligence. RAND Corporation. https://doi.org/10.7249/RR1744 Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0 Zhao, Y. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Educational Research Review, 37, 100478. https://doi.org/10.1016/j.edurev.2022.100478