Integrating AI-driven Business Simulations into Malaysian Entrepreneurship Curriculum Using Kolb’s Learning Cycle: A Concept Paper

Authors

Hemavathi Gunasegaran

Faculty of Business and Management, Universiti Teknologi MARA, Puncak Alam Campus, Puncak Alam, Malaysia (Malaysia)

Muhammad Haziq Zaini

Centre for Fundamental Studies, Management and Science University, 40100 Shah Alam, Selangor, Malaysia (Malaysia)

Kartina Abu Bakar

Centre for Continuing Education, Universiti Malaya, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia (Malaysia)

Nurul Hidayah Mohd Yusof

Centre for Continuing Education, Universiti Malaya, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia (Malaysia)

Md Aynul Hoque

College of Business Administration, International University of Business Agriculture and Technology, Bangladesh (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.102100080

Subject Category: Education

Volume/Issue: 10/21 | Page No: 939-948

Publication Timeline

Submitted: 2026-07-09

Accepted: 2026-07-14

Published: 2026-07-25

Abstract

Traditional entrepreneurship education within Higher Education Institutions (HEIs) often relies on passive pedagogical frameworks that fail to equip graduates with the dynamic competencies required to navigate volatile market landscapes. Within the Malaysian socioeconomic framework, this gap directly hinders the strategic national objectives articulated in the National Entrepreneurship Policy 2030 (NEP 2030) to cultivate resilient, innovation-driven job creators. To address this institutional limitation, this concept paper proposes a localized curriculum framework that integrates Artificial Intelligence (AI) and Generative AI (GenAI) into experiential learning structures. Grounded in David Kolb’s Experiential Learning Theory (ELT), the model maps AI-driven business simulations and automated, real-time feedback loops onto the four quadrants of the experiential learning cycle. This systematic integration transforms traditional simulations from rigid, deterministic tools into context-aware, active cognitive collaborators. In doing so, the framework overcomes the instructor grading bottleneck, establishes a psychologically safe sandbox that mitigates student risk aversion, and normalizes entrepreneurial failure through continuous, data-driven reflective loops. Furthermore, by matching structural directives from the Malaysia Digital Economy Corporation (MDEC) and the Ministry of Higher Education, this framework provides an equitable model designed to bridge the resource and digital mentorship divide between urban and regional Malaysian campuses. Ultimately, this paper outlines critical pathways for institutional implementation, highlighting the necessary evolution of faculty roles from traditional lecturers to data mentors and the transition from outcome-based metrics to rigorous, process-based student assessments.

Keywords

Artificial Intelligence, Experiential Learning Theory, Entrepreneurship Curriculum, Business Simulations, Malaysian Higher Education

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References

1. Aguilar, M. P., & Tafesse, W. (2026). Virtual reality in undergraduate business education: How learning occurs across Kolb’s experiential learning cycle. Contemporary Educational Technology, 18(3), ep665. [Google Scholar] [Crossref]

2. Amiri, S. M. H. (2025). Project-based learning pedagogy: Bridging theory and practice for real-world impact. Available at SSRN 5333995. [Google Scholar] [Crossref]

3. Anand, B., & Long, Q. S. (2025). iReflect: Enhancing Reflective Learning with LLMs: A Study on Automated Feedback in Project Based Courses. In CSEDU (2) (pp. 395-403). [Google Scholar] [Crossref]

4. Bloembergen, D., Tuyls, K., Hennes, D., & Kaisers, M. (2015). Evolutionary dynamics of multi-agent learning: A survey. Journal of Artificial Intelligence Research, 53, 659-697. [Google Scholar] [Crossref]

5. Boggu, A. T. (2020). The Potential of Kolb’s Experiential Learning Cycle on Long Term Knowledge Retention. The Potential of Kolb’s Experiential Learning Cycle on Long Term Knowledge Retention; Sultan Qaboos University: Al Seeb, Oman, 129. [Google Scholar] [Crossref]

6. Datta, S. (2024). Digital Twin, Didymos, Meets Digital Cousin, Didymium. From Paradox to Paradigm or a Paradoxical Paradigm? [Google Scholar] [Crossref]

7. Dorodchi, M. M., Dehbozorgi, N., Benedict, A., Al-Hossami, E., & Benedict, A. (2020, June). Scaffolding a team-based active learning course to engage students: A multidimensional approach. In 2020 ASEE Virtual Annual Conference Content Access. [Google Scholar] [Crossref]

8. Dumeayam, P. J. (2025). Entrepreneurship education curriculum and entrepreneurial outcomes in the higher education sector: a Nigerian case study. [Google Scholar] [Crossref]

9. Efthimiou, S. G. (2025). The Future of Simulation-Based Entrepreneurship Education and the Evolving Role of Technology in This Field. In Integrating Simulation Tools Into Entrepreneurship Education (pp. 383-418). IGI Global Scientific Publishing. [Google Scholar] [Crossref]

10. Elfghi, O., Iyiola, K., Alzubi, A. B., & Aljuhmani, H. Y. (2026). Improvisation and New Venture Performance: Unpacking the Roles of Entrepreneurial Self-Efficacy and Learning Orientation. Sustainability, 18(2), 975. [Google Scholar] [Crossref]

11. Fein, B., Fraser, G., & Herbold, S. (2026). AI-Driven Software Development: A New Course Concept and Assessment Model for the Era of Large Language Models. In International Conference on Software Engineering–Software Engineering Education Track (ICSE-SEET). [Google Scholar] [Crossref]

12. Felker, G. (2025). Malaysia’s ICT sector policymaking: toward a developmental network state. The Pacific Review, 38(2), 338-369. [Google Scholar] [Crossref]

13. Garg, R., Guha, D., Kiwelekar, A., Guglani, R., & Gupta, A. (Eds.). (2026). Natural Language Processing for Business and Organizations: Research and Innovation. CRC Press. [Google Scholar] [Crossref]

14. Gemmell, R. M., & Kolb, D. A. (2020). Experiential learning and creativity in entrepreneurship. In Encyclopedia of creativity, invention, innovation, and entrepreneurship (pp. 937-944). Cham: Springer International Publishing. [Google Scholar] [Crossref]

15. Gonsalves, C., Clancy, M., Khusainova, R., Lee, H. H. M., Marshall, K., Percy, S., & Baines, P. (2026). Marketing Education in the Age of Generative AI: Preparing Graduates for Human–AI Collaboration. [Google Scholar] [Crossref]

16. Haque, A. K. M., Ridoy, A. A. I., Rayhan, M., & Porres, I. (2026). Emergence of Agentic AI: A Review on Evolution, Background, Working Principles, Applications, Adoption Factors, and Future Research Directions. Computers, Materials & Continua, 88(2), 1. [Google Scholar] [Crossref]

17. Ismail, M. Z. (2010). Developing entrepreneurship education: Empirical findings from Malaysian Polytechnics (Doctoral dissertation). [Google Scholar] [Crossref]

18. Jamaluddin, F., Jamaluddin, A. H., Jamaluddin, F., & Jamaluddin, F. (2025). Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights for a Digital Future. arXiv preprint arXiv:2509.21858. [Google Scholar] [Crossref]

19. Jones, T. R. (2026). The Teacher's Guide to Learning by Doing: Hands-On Strategies for Supporting Engaged and Conceptual Thinkers. Taylor & Francis. [Google Scholar] [Crossref]

20. Kayyali, M. (2025). The Evolution of AI in Education From Concept to Classroom. In Navigating Barriers to AI Implementation in the Classroom (pp. 325-368). IGI Global Scientific Publishing. [Google Scholar] [Crossref]

21. Khavasi, A. (2025). Exploring the integration of generative ai in entrepreneurship education pedagogical and ethical dimensions: Case study in a Finnish University of Applied Sciences. [Google Scholar] [Crossref]

22. Kirby, D. A. (2004). Entrepreneurship education: can business schools meet the challenge? Education training, 46(8-9), 510-519. [Google Scholar] [Crossref]

23. Kohn, P. (2024). Simulations and Role-Plays: Enhancing Decision-Making and Problem-Solving Skills. In Elevating Leadership: Innovative Teaching Methods for Developing Future Leaders (pp. 41-57). Emerald Publishing Limited. [Google Scholar] [Crossref]

24. Kolb, A. Y., & Kolb, D. A. (2009). Experiential learning theory: A dynamic, holistic approach to management learning, education, and development. The SAGE handbook of management learning, education, and development, 7(2), 42-68. [Google Scholar] [Crossref]

25. Kostopoulos, G., Gkamas, V., Rigou, M., & Kotsiantis, S. (2025). Agentic AI in education: State of the art and future directions. IEEE Access. [Google Scholar] [Crossref]

26. Li, M., Li, C., Chen, Y., & Hwang, G. J. (2025). Effects of an automated evaluation mechanism on students’ writing performance and higher-order thinking in an AR-based formative-peer-assessment learning mode. Education and Information Technologies, 30(15), 21889-21928. [Google Scholar] [Crossref]

27. Li, Y., Leong, W., & Zhang, H. (2026). Research on Digital Twin-based safety teaching model in digital manufacturing: a new pathway for integrated vocational education. [Google Scholar] [Crossref]

28. Liu, D., Zhou, X., & Li, Y. (2026). Balancing comfort and Cost: A Multi-Agent framework for Human-Centric building energy management via Large language models. Energy and Buildings, 117684. [Google Scholar] [Crossref]

29. Ludvik, M. J. B. (2023). Outcomes-based program review: Closing achievement gaps in-and outside the classroom with alignment to predictive analytics and performance metrics. Taylor & Francis. [Google Scholar] [Crossref]

30. Marks, J. T. (2012). Kolb Interrupted: An investigation into students' experience of an experiential learning approach to entrepreneurship education. [Google Scholar] [Crossref]

31. Mazzetto, S. (2024). Interdisciplinary perspectives on agent-based modeling in the architecture, engineering, and construction industry: A comprehensive review. Buildings, 14(11), 3480. [Google Scholar] [Crossref]

32. Mhlola, M. S. (2026). Investigating the Alignment between Entrepreneurship Education Pedagogies and the Fourth Industrial Revolution: A multiple case of Teachers’ Perspectives (Doctoral dissertation, Stellenbosch: Stellenbosch University). [Google Scholar] [Crossref]

33. Moleka, P. (2025). The Infinity Economy: The Blueprint for a Post-Scarcity Civilization. Available at SSRN 5358002. [Google Scholar] [Crossref]

34. Murad, A., Vagif, F., & Sadagat, A. (2025). Business simulation games integrated with emerging technologies in business education: A review. Entertainment Computing, 101006. [Google Scholar] [Crossref]

35. Nagasubramanian, D. (2025). Harnessing Artificial Intelligence to Revolutionize Education: Personalized Learning and Beyond. In International Conference of Global Innovations and Solutions (pp. 395-409). Cham: Springer Nature Switzerland. [Google Scholar] [Crossref]

36. Neck, H. M., Greene, P. G., & Brush, C. G. (2014). Teaching entrepreneurship: A practice-based approach. In Teaching Entrepreneurship. Edward Elgar Publishing. [Google Scholar] [Crossref]

37. Osadcha, К., Osadchyi, V., Proshkin, V., & Shumeiko, N. (2025). Artificial intelligence and the transformation of teaching roles: insights from lecturers’ experiences. In DigiTransfEd 2025: 4th Workshop on Digital Transformation of Education (pp. 87-107). [Google Scholar] [Crossref]

38. Papademetriou, C., & Anastasiadou, S. (2025). Enhancing entrepreneurship education: The role of simulation tools in teaching and learning. In Integrating Simulation Tools into Entrepreneurship Education (pp. 201-212). IGI Global Scientific Publishing. [Google Scholar] [Crossref]

39. Pereda, M., Poza, D., Santos, J. I., & Galán, J. M. (2015). Quality Uncertainty and Market Failure: An Interactive Model to Conduct Classroom Experiments. In Computational Intelligence in Security for Information Systems Conference (pp. 549-557). Cham: Springer International Publishing. [Google Scholar] [Crossref]

40. Polydorou, E. (2025). The effect of simulation games in entrepreneurship education. In Integrating simulation tools into entrepreneurship education (pp. 445-468). IGI Global Scientific Publishing. [Google Scholar] [Crossref]

41. Rana, V., Verhoeven, B., & Sharma, M. (2025). Generative AI in design thinking pedagogy: Enhancing creativity, critical thinking, and ethical reasoning in higher education. Journal of University Teaching and Learning Practice, 22(4), 1-22. [Google Scholar] [Crossref]

42. Rashid, S. (2026). The Role of Large Language Models in Education Simulations: A Systematic Mapping Study. [Google Scholar] [Crossref]

43. Ren, K. (2022). A Wideband Vivaldi Antenna for Drone-Based Microwave Imaging System. [Google Scholar] [Crossref]

44. Russ, M. (2025). The spontaneous ideation for the nascent entrepreneurs: The reasonings, learning loops and outcomes matrices, models, and visual tools for collaborating with AI in support of innovative sustainable business solutions. Journal of Management and Business Education, 8(3), 522-593. [Google Scholar] [Crossref]

45. Salinas-Navarro, D. E., Vilalta-Perdomo, E., Michel-Villarreal, R., & Montesinos, L. (2024). Using generative artificial intelligence tools to explain and enhance experiential learning for authentic assessment. Education Sciences, 14(1), 83. [Google Scholar] [Crossref]

46. Scholapurapu, P. K. (2025). Artificial intelligence-powered learning analytics and student feedback mechanisms for dynamic curriculum enhancement and continuous quality improvement in outcome-based education. DOI, 10, 9789349552531-06. [Google Scholar] [Crossref]

47. Sharma, S., Mittal, P., Kumar, M., & Bhardwaj, V. (2025). The role of large language models in personalized learning: a systematic review of educational impact. Discover Sustainability, 6(1), 243. [Google Scholar] [Crossref]

48. Shibley, I., & Middendorf, J. (2025). Mentoring via a Decoding Interview: Helping an Instructor Navigate a Bottleneck in Organic Chemistry. Transformative Dialogues: Teaching and Learning Journal, 18(3), 84-97. [Google Scholar] [Crossref]

49. Sirat, M. (2024). Higher education development and study abroad experiences of faculty in Malaysia. In Impacts of Study Abroad on Higher Education Development: Examining the Experiences of Faculty at Leading Universities in Southeast Asia (pp. 59-78). Singapore: Springer Nature Singapore. [Google Scholar] [Crossref]

50. Siregar, T. (2025). Implementation of Problem-Based Learning (PBL) Model to Enhance Higher-Order Thinking Skills (HOTS). Available at SSRN 5709306. [Google Scholar] [Crossref]

51. Subramaniam, L. A. T. H. A. (2023). Digital Divide among Malaysian Tertiary Students and Its Impact on Online Learning during the Covid-19 Pandemic. MPhil diss., Universiti Tunku Abdul Rahman. [Google Scholar] [Crossref]

52. Velez, A., & Alonso, R. K. (2025). Business simulation games for the development of decision making: Systematic review. Education Sciences, 15(2), 168. [Google Scholar] [Crossref]

53. Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026). Transforming the Future of Management and Medical Education: AI-Driven Innovations in Curriculum Design. In AI education strategies for future-proofing curriculum design (pp. 459-476). IGI Global Scientific Publishing. [Google Scholar] [Crossref]

54. Vlachopoulos, D., & Makri, A. (2017). The effect of games and simulations on higher education: a systematic literature review. International Journal of Educational Technology in Higher Education, 14(1), 22. [Google Scholar] [Crossref]

55. Wang, K., Cheng, L., Yin, M., Zhang, K., Wang, R., Zhang, M., & Sun, R. (2025). Evolutionary Game Theory in Energy Storage Systems: A Systematic Review of Collaborative Decision-Making, Operational Strategies, and Coordination Mechanisms for Renewable Energy Integration. Sustainability (2071-1050), 17(16), 7400. [Google Scholar] [Crossref]

56. Wang, Q., Li, Y., Yang, Y., Little, M. G., Basnight, E. B., & Fryberger, C. B. (2024). University-led entrepreneurship ecosystem building in underserved communities: From a network perspective. Geographical Review, 114(3), 353-377. [Google Scholar] [Crossref]

57. Wang, Y., Fu, Y., Wu, X., Deng, H., Ruan, Y., Liu, C., ... & Wu, J. (2025). Integrating experiential learning theory with innovation and entrepreneurship education: a qualitative study on Chinese medical students. BMC Medical Education, 25(1), 1227. [Google Scholar] [Crossref]

58. Wei, Y., Wang, F., Zhang, Y., Y. Lim, B., & Jiang, B. (2026, April). Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (pp. 1-26). [Google Scholar] [Crossref]

59. Yu, C. H., & Chan, S. (2025). Responsible, Ethical, and Effective Use of LLMs in Higher Education. In Future of Learning with Large Language Models (pp. 1-28). CRC Press. [Google Scholar] [Crossref]

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