AI-DRIVEN STRATEGIES IN HIGHER EDUCATION EMPOWERING THE NEXT GENERATION OF STUDENT ENTREPRENEURS

Abstract: Students will select AI tools for their work based on their assessment of how easy these tools are to operate and what benefits they provide. Social cognitive theory shows that students who use AI-enhanced simulations with feedback systems will develop higher entrepreneurial self-efficacy which will lead them to pursue their goals. The diffusion of innovation theory demonstrates that organizations need to accept AI-based entrepreneurship strategies which must match their existing resources for successful implementation to create results-driven environments. The three theories work together to form a single model which shows how artificial intelligence (AI) functions as a strategic asset and active resource that enhances entrepreneurial orientation, develops self-efficacy, and boosts innovation spread across higher education systems. Recommendation The educational institutions should develop entrepreneurship courses which use Artificial Intelligence to create customized learning experiences which help students acquire new skills. The educational institutions need to track which AI tools provide the greatest value for their student population and educational goals. The research shows that AI technologies succeed better in teaching entrepreneurship compared to traditional educational methods. The educational institutions must establish workshops and bootcamps and elective courses to teach AI literacy and awareness to entrepreneurship students. The process of selecting AI tools should involve student participation because their needs should drive entrepreneurship tools development. The combination of interdisciplinary lab work and trained faculty mentors will enable students to develop innovative solutions while learning to implement effective AI systems. The system needs feedback throughout the process to achieve ongoing enhancements which will result in better satisfaction and improved results. Keywords: Artificial Intelligence, Higher Education Institutions(HEI), Entrepreneurship Education, Strategic Entrepreneurship, Student satisfaction with AI. Title: AI-DRIVEN STRATEGIES IN HIGHER EDUCATION EMPOWERING THE NEXT GENERATION OF STUDENT ENTREPRENEURS Author: B. Bharathi, Dr. B. Menaka International Journal of Management and Commerce Innovations ISSN 2348-7585 (Online) Vol. 13, Issue 2, October 2025 - March 2026 Page No: 343-355 Research Publish Journals Website: www.researchpublish.com Published Date: 11-February-2026 DOI: https://doi.org/10.5281/zenodo.18609735 Paper Download Link (Source) https://www.researchpublish.com/papers/ai-driven-strategies-in-higher-education-empowering-the-next-generation-of-student-entrepreneurs

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-11
DOI
https://doi.org/10.5281/zenodo.18609734
Primary Topic
Blockchain Technology in Education and Learning
Type
article
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article

AI-DRIVEN STRATEGIES IN HIGHER EDUCATION EMPOWERING THE NEXT GENERATION OF STUDENT ENTREPRENEURS

Dr. B. Menaka, B. Bharathi
Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology in Education and Learning
article

AI-DRIVEN STRATEGIES IN HIGHER EDUCATION EMPOWERING THE NEXT GENERATION OF STUDENT ENTREPRENEURS

Dr. B. Menaka, B. Bharathi
article en

Abstract

Abstract: Students will select AI tools for their work based on their assessment of how easy these tools are to operate and what benefits they provide. Social cognitive theory shows that students who use AI-enhanced simulations with feedback systems will develop higher entrepreneurial self-efficacy which will lead them to pursue their goals. The diffusion of innovation theory demonstrates that organizations need to accept AI-based entrepreneurship strategies which must match their existing resources for successful implementation to create results-driven environments. The three theories work together to form a single model which shows how artificial intelligence (AI) functions as a strategic asset and active resource that enhances entrepreneurial orientation, develops self-efficacy, and boosts innovation spread across higher education systems. Recommendation The educational institutions should develop entrepreneurship courses which use Artificial Intelligence to create customized learning experiences which help students acquire new skills. The educational institutions need to track which AI tools provide the greatest value for their student population and educational goals. The research shows that AI technologies succeed better in teaching entrepreneurship compared to traditional educational methods. The educational institutions must establish workshops and bootcamps and elective courses to teach AI literacy and awareness to entrepreneurship students. The process of selecting AI tools should involve student participation because their needs should drive entrepreneurship tools development. The combination of interdisciplinary lab work and trained faculty mentors will enable students to develop innovative solutions while learning to implement effective AI systems. The system needs feedback throughout the process to achieve ongoing enhancements which will result in better satisfaction and improved results. Keywords: Artificial Intelligence, Higher Education Institutions(HEI), Entrepreneurship Education, Strategic Entrepreneurship, Student satisfaction with AI. Title: AI-DRIVEN STRATEGIES IN HIGHER EDUCATION EMPOWERING THE NEXT GENERATION OF STUDENT ENTREPRENEURS Author: B. Bharathi, Dr. B. Menaka International Journal of Management and Commerce Innovations ISSN 2348-7585 (Online) Vol. 13, Issue 2, October 2025 - March 2026 Page No: 343-355 Research Publish Journals Website: www.researchpublish.com Published Date: 11-February-2026 DOI: https://doi.org/10.5281/zenodo.18609735 Paper Download Link (Source) https://www.researchpublish.com/papers/ai-driven-strategies-in-higher-education-empowering-the-next-generation-of-student-entrepreneurs

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 70%
Blockchain Technology in Education and Learning
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