Entrepreneurship Education in the Age of Generative Artificial Intelligence

Opportunities, Challenges, and Pedagogical Shifts

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
  • Mehdi Abbas (Ph.D) Department of Business Studies, Bahria Unversity University, Karachi, Pakistan https://orcid.org/0000-0001-5121-148X
  • Talha Bin Shuja Department of Business Administration, High Hope International LLC, United States of America
  • Muhammad Faraz Business Studies Department, Bahria University, Karachi, Pakistan

DOI:

https://doi.org/10.48112/aessr.v6i1.1221

Abstract

Abstract Views: 387

Generative artificial intelligence (GenAI) is rapidly reshaping higher education, yet empirical evidence on its role in entrepreneurship education remains limited. This study investigates how GenAI is used in entrepreneurship classrooms and whether it supports pedagogical adaptation and entrepreneurial learning outcomes. It also examines whether students’ technological readiness and AI literacy moderate these relationships. Guided by a conceptual framework linking GenAI use, pedagogical change, learning outcomes, and student preparedness, data were collected from 203 students enrolled in entrepreneurship programs. Mediation and moderation analyses with bootstrapping were used to test direct, indirect, and conditional effects. Contrary to largely techno-optimistic claims, results show no significant relationship between GenAI use and pedagogical change, pedagogical change and learning outcomes, or GenAI use and learning outcomes. Technological readiness and AI literacy also did not significantly moderate these paths, and no moderated mediation was found. The findings indicate that simple access to, or superficial use of, GenAI does not automatically improve teaching practices or entrepreneurial competencies. The study contributes empirical evidence and calls for stronger instructional design, student preparation, and more rigorous longitudinal and multi-method research.

Keywords:

AI literacy, Entrepreneurship education, Generative artificial intelligence, Learning outcomes, Pedagogical innovation, Technological readiness

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. 

Mehdi Abbas (Ph.D),

He is a Sr. Lecturer at the Department of Business Studies, Bahria University  Karachi – Pakistan. He received his Master's from Australia and PhD from Universiti Utara Malaysia, Sintok Kedah Darul Aman, Malaysia School of Technology Management and Logistics (STML), College of Business, Universiti Utara Malaysia, Malaysia.

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.

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.

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Academy of Education and Social Sciences Review

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Published

2026-02-28

How to Cite

Ali, S. R., Uddin, S. Z., Abbas, M., Shuja, T. B., & Faraz, M. (2026). Entrepreneurship Education in the Age of Generative Artificial Intelligence: Opportunities, Challenges, and Pedagogical Shifts. Academy of Education and Social Sciences Review, 6(1), 36–47. https://doi.org/10.48112/aessr.v6i1.1221

Issue

Vol. 6 No. 1 (2026)

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Articles

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