AI-Driven Personalized Learning in Entrepreneurship Education

Authors

  • Syed Rizwan Ali Business Incubation Center, Software Engineering, Bahria University, Karachi – Pakistan https://orcid.org/0000-0001-9976-0082
  • Shaikh Zunain Uddin Department of Computer Science, Nazeer Hussain University, Karachi – Pakistan https://orcid.org/0009-0005-7119-5743
  • Muhammad Faraz Business Studies Department, Bahria University, Karachi – Pakistan
  • Talha Bin Shuja Department of Business Administration, High Hope International LLC, United States of America https://orcid.org/0009-0003-8761-379X

DOI:

https://doi.org/10.5281/zenodo.15007337

Abstract

Abstract Views: 1316

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.

Keywords:

AI-driven personalized learning, Contextual factors, Educational outcomes, Entrepreneurship education, Experience & engagement

Author Biographies

Syed Rizwan Ali,

He is an Assistant Professor at the Business Incubation Center, Software Engineering, Bahria University in Karachi – Pakistan. He obtained his Masters in CAAD from the University of the West of England (UWE) in Bristol – England.

Shaikh Zunain Uddin,

He is a Research Scholar at the Department of Computer Science, Nazeer Hussain University in Karachi – Pakistan. He received his Bachelors in Computer Science from Nazeer Hussain University in Karachi – Pakistan.

Muhammad Faraz,

He is a Senior Assistant Professor at the Business Studies Department, Bahria University in Karachi – Pakistan. He obtained his M.Sc. in Industrial Psychology from the University of Karachi in Karachi – Pakistan.

Talha Bin Shuja,

He is serving at the Department of Business Administration, High Hope International LLC in the United States of America. He obtained his Masters in Business Administration from SZABIST in Karachi – Pakistan.

References

Boh, S. A., & Chukwu, J. C. (2023). Revolutionizing education for entrepreneurial excellence: An opinion on the impact of curriculum and classroom management. International Journal of Youth Empowerment and Entrepreneurship Development, 5(1) 798-809.

Carayannis, E. G., Popescu, D., Sipp, C., & Stewart, M. (2006). Technological learning for entrepreneurial development (TL4ED) in the knowledge economy (KE): Case studies and lessons learned. Technovation, 26(4), 419-443. https://doi.org/10.1016/j.technovation.2005.04.003

Cardona, M., Rodríguez, R. & Ishmael, K., 2023. Artificial intelligence and the future of teaching and learning: Insights and recommendations, Office of Educational Technology. https://coilink.org/20.500.12592/rh21zz

Castro, G. P. B., Chiappe, A., Rodriguez, D. F. B., & Sepulveda, F. G. (2024). Harnessing AI for Education 4.0: Drivers of Personalized Learning. Electronic Journal of e-Learning, 22(5), 01-14. https://doi.org/10.34190/ejel.22.5.3467

Chang, J., & Liu, D. (2024). Optimising learning outcomes: A comprehensive approach to virtual simulation experiment teaching in higher education. International Journal of Human–Computer Interaction, 1-21. https://doi.org/10.1080/10447318.2024.2314825

Chaudhry, M. A., & Kazim, E. (2022). Artificial Intelligence in Education (AIEd): A high-level academic and industry note 2021. AI and Ethics, 2(1), 157-165. https://doi.org/10.1007/s43681-021-00074-z

Chen, L., Ifenthaler, D., Yau, J. Y.-K., & Sun, W. (2024). Artificial intelligence in entrepreneurship education: A scoping review. Education + Training, 66(6), 589–608. https://doi.org/10.1108/ET-05-2023-0169

Duraes, D., Bezerra, R., & Novais, P. (2024, May). AI-driven educational transformation in secondary schools: Leveraging data insights for inclusive learning environments. In 2024 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-9). IEEE. https://doi.org/10.1109/EDUCON60312.2024.10578910

El-Sabagh, H. A. (2021). Adaptive e-learning environment based on learning styles and its impact on development students' engagement. International Journal of Educational Technology in Higher Education, 18(1), 53. https://doi.org/10.1186/s41239-021-00289-4

Ezzaim, A., Dahbi, A., Aqqal, A., & Haidine, A. (2024). AI-based learning style detection in adaptive learning systems: A systematic literature review. Journal of Computers in Education, 1-39. https://doi.org/10.1007/s40692-024-00328-9

Hutson, J. (Ed.). (2024). The rise of AI in academic inquiry. IGI Global.

Katiyar, N., Awasthi, M. V. K., Pratap, R., Mishra, M. K., Shukla, M. N., Tiwari, M., & Singh, R. (2024). AI-driven personalized learning systems: Enhancing educational effectiveness. Educational Administration: Theory and Practice, 30(5), 11514-11524. https://doi.org/10.53555/kuey.v30i5.4961

Khamis, R. (2024). AI-powered learning experience platforms: investigating personalized learning in the workplace. University of Gothenburg/Department of Education, Communication and Learning. https://hdl.handle.net/2077/83632

Molefi, R. R., Ayanwale, M. A., Kurata, L., & Chere-Masopha, J. (2024). Do in-service teachers accept artificial intelligence-driven technology? The mediating role of school support and resources. Computers and Education Open, 6, 100191. https://doi.org/10.1016/j.caeo.2024.100191

Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE access, 10, 81323-81342.

O’Brien, K., Reams, J., Caspari, A., Dugmore, A., Faghihimani, M., Fazey, I., ... & Winiwarter, V. (2013). You say you want a revolution? Transforming education and capacity building in response to global change. Environmental Science & Policy, 28, 48-59. https://doi.org/10.1016/j.envsci.2012.11.011

Pan, S., Hafez, B., Iskandar, A., & Ming, Z. (2024). Integrating constructivist principles in an adaptive hybrid learning system for developing social entrepreneurship education among college students. Learning and Motivation, 87, 102023. https://doi.org/10.1016/j.lmot.2024.102023

Tiberius, V., & Weyland, M. (2024). Enhancing higher entrepreneurship education: Insights from practitioners for curriculum improvement. The International Journal of Management Education, 22(2), 100981. https://doi.org/10.1016/j.ijme.2024.100981

Wasim, J., Youssef, M. H., Christodoulou, I., & Reinhardt, R. (2024). The path to entrepreneurship: The role of social networks in driving entrepreneurial learning and education. Journal of Management Education, 48(3), 459-493. https://doi.org/10.1177/10525629231219235

Yekollu, R. K., Bhimraj Ghuge, T., Sunil Biradar, S., Haldikar, S. V., & Farook Mohideen Abdul Kader, O. (2024a). AI-driven personalized learning paths: Enhancing education through adaptive systems. In R. Asokan, D. P. Ruiz, & S. Piramuthu (Eds.), Smart Data Intelligence (pp. 507–517). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-3191-6_38

Yekollu, R. K., Bhimraj Ghuge, T., Sunil Biradar, S., Haldikar, S. V., & Farook Mohideen Abdul Kader, O. (2024b). AI-driven personalized learning paths: enhancing education through adaptive systems. In R. Asokan, D. P. Ruiz, & S. Piramuthu (Eds.), Smart Data Intelligence (pp. 507–517). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-3191-6_38

Zhan, Z., Zhong, C., Zheng, J., & Zhong, W. (2024, November). Human-AI Co-Innovation: Navigating the Innovative Problem-Solving Landscape with the Process Model and Technology Empowerment. In International Conference on Technology in Education (pp. 15-37). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-96-0205-6_2

Academy of Education and Social Sciences Review

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Published

2025-02-28

How to Cite

Ali, S. R., Uddin, S. Z., Faraz, M., & Shuja, T. B. (2025). AI-Driven Personalized Learning in Entrepreneurship Education. Academy of Education and Social Sciences Review, 5(1), 88–103. https://doi.org/10.5281/zenodo.15007337

Issue

Vol. 5 No. 1 (2025)

Section

Articles

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