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