Bui, Hung Duy, Sharma, Gunjan Mohan
ORCID: https://orcid.org/0000-0003-2272-7385, Gaur, Priya and Najeeb, Ali
(2026)
AI-Enhanced Entrepreneurial Education: Personalizing Learning Pathways.
In:
Decision Making, Learning, and Collaboration in AI-Driven Entrepreneurship.
IGI Global Scientific Publishing, Hershey, pp. 75-88.
ISBN 9798260013557
Abstract
Artificial Intelligence (AI) is reshaping entrepreneurial education by enabling personalized learning pathways that cater to individual learner needs, preferences, and competencies. This chapter explores how AI technologies—such as adaptive learning systems, intelligent tutoring, generative AI, and learning analytics—facilitate customized instruction, real-time feedback, and experiential learning opportunities. Drawing on constructivist, experiential, and cognitive learning theories, the chapter examines the design and implementation of personalized pathways, highlighting case studies that demonstrate improved learner engagement, skill acquisition, and entrepreneurial decision-making. It also addresses key challenges, including data privacy, algorithmic bias, equity, and the balance between AI guidance and human mentorship. Finally, the chapter identifies future directions for research and practice, emphasizing immersive technologies, predictive analytics, and ethical frameworks to enhance the effectiveness and inclusivity of entrepreneurial education.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | Adaptive learning systems | Artificial intelligence technologies | Artificial learning | Entrepreneurial education | Experiential learning | Feedback learning | Intelligent tutoring | Learning opportunity | Learning pathway | Real-time feedback |
| Subjects: | Social Sciences and humanities > Business, Management and Accounting > Strategy and Management Social Sciences and humanities > Business, Management and Accounting > Management of Technology and Innovation |
| Depositing User: | Mr. Syed Anas |
| Date Deposited: | 01 Jun 2026 09:41 |
| Last Modified: | 01 Jun 2026 09:41 |
| Official URL: | https://doi.org/10.4018/979-8-2600-1353-3.ch005 |
| URI: | https://pure.jgu.edu.in/id/eprint/11473 |
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