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AI POWERED DATA DRIVEN AND PREDICTIVE CAPABILITIES: ASSESSING ITS ENHANCING STRENGTH FOR BUSINESS STUDENTS EXPOSURE TO ENTREPRENEURIAL DEVELOPMENT IN UYO METROPOLIS
This study examined AI powered data-driven and predictive capabilities, assessing its enhancing strength for business students’ exposure to entrepreneurial development in Uyo Metropolis. An ex post facto design was adopted for this study. The study was carried out in Akwa Ibom State. The targeted population for the study comprised all business students in tertiary institutions in Uyo Metropolis. A stratified random sampling technique was used to select 60 business students from the University of Uyo, 15 each from Uyo City Polytechnic and Heritage Polytechnic, which gave a total of 90 respondents used for the study. The instrument used for data collection was a structured questionnaire titled “AI Powered data-driven and Predictive Capabilities on Business Students Entrepreneurial Development Questionnaire (AIPDPCBSEQ)”. Face and content validation of the instrument was carried out by an expert in test, measurement, and evaluation in order to ensure that the instrument has the accuracy, appropriateness, and completeness for the study under consideration. The reliability coefficient obtained was 0.91, and this was high enough to justify the use of the instrument. The researcher subjected the data generated for this study to appropriate statistical technique such percentage analysis to answer research questions. The findings revealed that the extent of students’ exposure to entrepreneurial development through the use of AI powered data-driven and predictive capabilities was very high, it furthered revealed that the most prominent effects of AI powered data-driven and predictive capability on students’ exposure to entrepreneurial development is that it” creates an improved learning opportunities” among others. The study concluded that the implementation of AI-powered, data-driven, and predictive capabilities in the business education of Uyo Metropolis represents a significant advancement in entrepreneurial training. One of the recommendations of the study was for educational institutions in Uyo should integrate AI and data analytics into their business and entrepreneurship curricula.
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2630 - 7200
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2659 - 1057
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