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Original research EXPLORING THE POTENTIALS OF ARTIFICIAL INTELLIGENCE TOWARDS ENTREPRENEURIAL INTENTIONS AMONG STUDENTS IN DELTA STATEPages 267-276
Abstract
This study focused on artificial intelligence and entrepreneurial intentions among students. The study ascertained how AI-integrated entrepreneurial learning affects entrepreneurial intentions and assessed how computer vision (technological innovation and perceived feasibility) affects entrepreneurial intentions. This study adopted a survey research design. The initial approach included the dispatch of invitation letters and e-mails to selected higher learning institutions within Delta State. This approach was purposive in nature. A total of 500 questionnaires were forwarded, out of which 372 valid responses were returned, thus reflecting a response rate of 74.4%. To ensure validity, the instrument was subjected to construct validity, following a pilot study with 50 students from institutions not included in the main study. Reliability analysis using Cronbach’s Alpha showed that all constructs exceeded 0.70. Both descriptive and inferential statistics were used for data analysis. Regression model was used for testing hypotheses. Finding showed that AI-integrated entrepreneurial learning has a significant positive effect on entrepreneurial intentions. Finding further showed that cognitive thinking has a significant positive effect on individuals’ propensity to act upon opportunities. A transformative tool in the aspect of forming entrepreneurial intentions amongst students is artificial intelligence, considering that it offers tools, platforms, and learning environments that boost the ability to recognize entrepreneurial opportunities, make decisions, and solve problems. One of the recommendations from the study was that there should be a focus on promoting the inclusion of AI tools and platforms in entrepreneurial learning initiatives in an environment that encourages the adoption of innovative solutions like computer vision while at the same time improving the perceived feasibility amongst students.
Keywords: Artificial Intelligence, Entrepreneurial Intentions, Technological Innovation, Perceived Feasibility, Cognitive Thinking
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Williams Okpebenyo, 
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