Determinants of Students’ Intention to Use AI Chatbots in Entrepreneurship Education: A Technology Acceptance Model Perspective

Entrepreneurship is central to achieving the United Nations’ Sustainable Development Goals (SDGs) and Malaysia’s national strategies to create jobs, foster innovation, and encourage youth entrepreneurship. Supporting this vision, Malaysian universities play a vital role in developing entrepreneurial mindsets, with AI chatbots emerging as innovative tools in teaching and learning. This study investigates students’ intention to use AI chatbots in entrepreneurship education across the Malaysian Technical University Network (MTUN), using the Technology Acceptance Model (TAM) extended with perceived trust. Survey data from 377 students revealed that perceived ease of use, usefulness, and trust significantly influence intention, explaining 71% of the variance, with ease of use being the strongest predictor. The findings highlight the importance of user-friendly, trustworthy, and effective chatbot systems to support entrepreneurial education and align with national development goals.

AI Chatbots, Entrepreneurship Education, Technology Acceptance Model (TAM)

1. Agarwal, R., Kumar, S., & Verma, R. (2022). Innovative strategies for engaging students with AI. Journal of Educational Technology, 35(2), 123-134. [Google Scholar] [Crossref]

2. Almahri, S. A., et al. (2020). Students' satisfaction with AI chatbots: The role of perceived usefulness. Computers & Education, 146, Article 103773. [Google Scholar] [Crossref]

3. Amara, R. (1984). Amara’s Law: Understanding the impact of technological change. Futures, 16(5), 432-438. [Google Scholar] [Crossref]

4. Ayanwale, M. A., & Molefi, R. R. (2024). Exploring intention of undergraduate students to embrace chatbots: from the vantage point of Lesotho. International Journal of Educational Technology in Higher Education, 21(1), 20. [Google Scholar] [Crossref]

5. Chang, H. H., & Wu, S. Y. (2023). The impact of perceived ease of use on AI chatbot acceptance among university students. Computers & Education, 176, Article 104324. [Google Scholar] [Crossref]

6. Chen, Q., Lu, Y., Gong, Y., & Xiong, J. (2023). Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty. Internet Research, 33(6), 2205-2243. [Google Scholar] [Crossref]

7. Clarizia, F., Colace, F., Lombardi, M., Pascale, F., & Santaniello, D. (2018). Chatbot: An education support system for students. Lecture Notes in Computer Science, Volume 11209, 101-112. https://doi.org/10.1007/978-3-030-01159-8_9 [Google Scholar] [Crossref]

8. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. [Google Scholar] [Crossref]

9. Fruth, E., Kvistad, M., Marshall, J., Pfeifer, L., Rau, L., Sagebiel, J., ... & Winiarski, B. (2019). Economic valuation of street-level urban greening: A case study from an evolving mixed-use area in Berlin. Land Use Policy, 89, 104237. [Google Scholar] [Crossref]

10. Gallimore, P., et al. (2019). The role of trust in technology adoption: A systematic literature review. Information Systems Frontiers, 21(3), 601-615. [Google Scholar] [Crossref]

11. HolonIQ. (2022). Global educational technology market projections. Retrieved from https://www.holoniq.com/edtech [Google Scholar] [Crossref]

12. Ismail, S. M., et al. (2021). Impact of entrepreneurship education on entrepreneurial intentions and competencies: Evidence from Malaysia. International Journal of Entrepreneurship, 25(3), 1-20. [Google Scholar] [Crossref]

13. Kim, J., Park, H., & Kim, D. (2021). Factors influencing students' intention to use AI chatbots in learning environments. Journal of Educational Technology, Volume (Issue). [Google Scholar] [Crossref]

14. Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308 [Google Scholar] [Crossref]

15. Lee, H., & Park, J. (2023). Trust, perceived enjoyment, and social influence in AI chatbot adoption. Journal of Interactive Marketing, 35, 45-56. [Google Scholar] [Crossref]

16. Lee, K. H., Tan, S. W., & Low, C. Y. (2023). Entrepreneurship Development Centers in Malaysian universities: Enhancing entrepreneurial capabilities through tailored programs. Journal of Business Venturing, 40(1), 1-18. [Google Scholar] [Crossref]

17. Lee, K. H., Tan, S. W., & Low, C. Y. (2023). Entrepreneurship Development Centers in Malaysian universities: Enhancing entrepreneurial capabilities through tailored programs. Journal of Business Venturing, 40(1), 1-18. [Google Scholar] [Crossref]

18. Liden, R. C., & Nilros, J. (2020). Trust in organizations: Frontiers of theory and research. SAGE Publications. [Google Scholar] [Crossref]

19. Liu, Y., & Zhou, M. (2022). Perceived ease of use and intention to adopt AI chatbots: Evidence from educational settings. Journal of Educational Technology & Society, 25(1), 183-197. [Google Scholar] [Crossref]

20. Malaysian Global Innovation & Creativity Centre (MaGIC). (2021). Supporting student entrepreneurs through mentorship and funding. [Google Scholar] [Crossref]

21. Malik, A., et al. (2021). Utilization of chatbots for educational purposes: The role of perceived usefulness among university students. Interactive Learning Environments, 29(3), 371-387. [Google Scholar] [Crossref]

22. MarketsandMarkets. (2023). Growth projections for AI chatbots in education. https://www.marketsandmarkets.com/Market-Reports/chatbot-market72302363.html [Google Scholar] [Crossref]

23. Ministry of Higher Education Malaysia (MOHE). (2022). Integration of entrepreneurship courses in Malaysian universities. [Google Scholar] [Crossref]

24. Ministry of Higher Education Malaysia (MOHE). (2022). Integration of entrepreneurship courses in Malaysian universities. Ministry of Higher Education Malaysia (MOHE). (2023). Report on the field of entrepreneurship education. [Google Scholar] [Crossref]

25. Ministry of Higher Education Malaysia (MOHE). (2022). Integration of entrepreneurship courses in Malaysian universities. [Google Scholar] [Crossref]

26. Ministry of Higher Education Malaysia (MOHE). (2023). Report on the field of entrepreneurship education. https://jpt.mohe.gov.my/index.php/en/graduate/44-entrepreneurship-development-policy [Google Scholar] [Crossref]

27. Obschonka, M., & Audretsch, D. B. (2020). Artificial intelligence and big data in entrepreneurship: A new era has begun. Small Business Economics, 55, 529- 542. https://doi.org/10.1007/s11187-019-00202-4 [Google Scholar] [Crossref]

28. Pillai, A., et al. (2023). Trust and technology adoption: A meta-analysis of empirical findings. Journal of Business Research, 136, 532-543. [Google Scholar] [Crossref]

29. Rahim, A. R. A., & Isa, N. M. (2023). Blending theoretical knowledge with practical business challenges: A case study of entrepreneurship education at Universiti 75 Teknikal Malaysia Melaka (UTeM). Journal of Entrepreneurship Education, 26(1), 1-15. [Google Scholar] [Crossref]

30. Ratten, V., & Jones, P. (2021). Bridging the gap between theoretical knowledge and real-world application in entrepreneurship education. Journal of Entrepreneurship Education, 24(3), 1-12. [Google Scholar] [Crossref]

31. Russell, S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach (3rd ed.). Pearson. [Google Scholar] [Crossref]

32. Shabbir, M. S., Batool, T., & Mahmood, K. (2022). Enhancing students' entrepreneurial intentions and competencies through AI. Journal of Educational Research and Innovation. [Google Scholar] [Crossref]

33. Smith, A., & Jones, B. (2023). Perceived usefulness and ease of use as determinants of AI chatbot adoption. Journal of Artificial Intelligence Research, 45(2), 123- 135. [Google Scholar] [Crossref]

34. Statista.com. (2022). Global Entrepreneurship Index: Malaysia's ranking and factors influencing entrepreneurial ecosystem. [Google Scholar] [Crossref]

35. Tan, J., Lim, K., & Ng, W. (2022). Institutional support and AI chatbot adoption among Malaysian university students. Journal of Educational Technology Systems. [Google Scholar] [Crossref]

36. Teo, T. (2021). Pre-service teachers' intention to use educational chatbots: A structural equation modeling approach. Journal of Educational Computing Research, 59(5), 643-662. [Google Scholar] [Crossref]

37. Teo, T., et al. (2021). Predicting intention to use technology in educational settings: A comprehensive review of individual and contextual factors. Computers & Education, 158, Article 104111. [Google Scholar] [Crossref]

38. The Star. (2024). MTUN Advanced TVET 2030 initiative: Elevating technical education. Retrieved from https://www.thestar.com.my/news/education/2024/06/23/game-changer-fortvet [Google Scholar] [Crossref]

39. Townsend, D. M., Hunt, R. A., McMullen, J. S., & Sarasvathy, S. D. (2018). Uncertainty, knowledge problems, and entrepreneurial action. Academy of Management Annals, 12(2), 659-687. https://doi.org/10.5465/annals.2016.0108 [Google Scholar] [Crossref]

40. Vivekananth, S., Indiran, L., & Kohar, U. H. A. (2023). The influence of entrepreneurship education on university Students' entrepreneurship self-efficacy and entrepreneurial intention. Journal of Technical Education and Training, 15(4), 129-142. [Google Scholar] [Crossref]

41. Winkler, A., & Soellner, M. (2018). Trust in health information sources: Survey analysis on the determinants of trust. Journal of Public Health, 26(5), 537-544. [Google Scholar] [Crossref]

42. Wang, Q., & Li, S. (2023). Perceived ease of use as a mediator in the attitude intention-behavior model: The case of AI chatbots in education. Journal of Educational Computing Research, 59(2), 312-329. [Google Scholar] [Crossref]

43. Yap, Z. Y., & Kamaruddin, N. K. (2023). The intention to use smart home Internet of Things (IoT) among Generation Y: An application of the Technology Acceptance Model (TAM). Research in Management of Technology and Business, 4(1), 637–648. https://doi.org/10.30880/rmtb.2023.04.01.044 [Google Scholar] [Crossref]

44. Zulfiqar, U., et al. (2021). Perceived usefulness as a determinant of consumers' usage intentions: A review. Journal of Business Research, 128, 889-901. [Google Scholar] [Crossref]

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