AI-Driven Personalized Learning in Entrepreneurship Education

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-28
DOI
https://doi.org/10.5281/zenodo.15007337
Citations
1
Primary Topic
Entrepreneurship Studies and Influences
Type
article
Field-Weighted Citation Impact
2.76
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article

AI-Driven Personalized Learning in Entrepreneurship Education

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Entrepreneurship Studies and Influences
2.76
article

AI-Driven Personalized Learning in Entrepreneurship Education

article en
1 citations

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.

Zenodo (CERN European Organization for Nuclear Research)
Hope International University (US), University of Karachi (PK), Bahria University (PK)
Decent work and economic growth
Openalex Percentile: Top 7%
Entrepreneurship Studies and Influences
2.76
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AI-Driven Personalized Learning in Entrepreneurship Education · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS