Integrating Artificial Intelligence into Entrepreneurship Education to Improve Students' Entrepreneurial Behavior (Case Study: Arak University)

Document Type : Original Article

Authors

Department of Industrial Management, Faculty of Administrative Sciences and Economics, Arak University, Arak, Iran.

Abstract

The present study examines the impact of using artificial intelligence (AI) technology in entrepreneurship education on students’ entrepreneurial behavior. In terms of purpose, the study is applied, and in terms of nature and method, it is descriptive–correlational with a quantitative approach. Data were collected from 80 students from various faculties of Arak University using a researcher-developed questionnaire. Data analysis was conducted using structural equation modeling (SEM) and Smart PLS software. All research variables had Cronbach’s alpha and composite reliability values above 0.70, indicating satisfactory stability and reliability of the measurement instrument.

The findings showed that data processing and analysis as well as intelligent search have a positive and significant effect on the transfer of entrepreneurial knowledge and skills, whereas personalized access to knowledge did not exhibit a significant effect. Moreover, the transfer of entrepreneurial knowledge had a positive effect on entrepreneurial intention and entrepreneurial attitude. The coefficients of determination obtained for entrepreneurial intention (0.866) and entrepreneurial attitude (0.857) indicate a good fit of the model. Overall, the results suggest that the use of AI-based learning tools in entrepreneurship education can enhance students’ capacity for innovation, opportunity recognition, and willingness to engage in entrepreneurial action, and can help transform theoretical learning into practical, experience-based action.

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Articles in Press, Accepted Manuscript
Available Online from 23 January 2026
  • Receive Date: 07 November 2025
  • Revise Date: 21 January 2026
  • Accept Date: 23 January 2026