AI-Driven Personalized Learning in Entrepreneurship Education
Year: 2025
Type: article
Abstract: This study investigates the impact of AI-driven personalized learning on entrepreneurship education outcomes, highlighting the mediating role of experience and engagement and the moderating influence of contextual factors. The study used a quantitative research design and a cross-sectional survey of 100 students in entrepreneurship programs. The study confirms that AI-driven learning significantly enhances entrepreneurial knowledge and skills. It also demonstrates that engagement mediates the relationship between personalized learning and educational outcomes, emphasizing the importance of tailored interactive content. Moderation analysis reveals that contextual factors, such as technological access and institutional support, affect engagement levels but do not significantly alter the direct relationship between personalized learning and outcomes. This research underscores the transformative potential of AI in education while addressing challenges related to equity and access. The study concludes with practical insights for educators and policymakers and calls for future research to explore longitudinal impacts and diverse educational contexts.
Authors: Syed Rizwan, Ali, Shaikh Zunain, Uddin, Muhammad, Faraz, Talha Bin, Shuja
Institution: Bahria University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6912118706