AI and Experiential Learning: Impact on Student Motivation and Creativity in the Modern Era (A conceptual Study on Academicians and Students)

Authors

  • Mr. Nayan Bhidodiya, Dr. Vivek Sharma

DOI:

https://doi.org/10.64882/ijrt.v14.iS2.1310

Keywords:

Artificial Intelligence, Experiential Learning, Personalized Learning, Modern Education, Creativity, Student Motivation

Abstract

In the modern educational era of 2025, the integration of Artificial Intelligence (AI) into experiential learning (EL) has revolutionized traditional "learning by doing" models. This paper explores how AI-driven tools including immersive simulations, personalized feedback loops, and generative AI enhance experiential learning outcomes. Drawing on 2025 research data, this study examines the impact of AI-supported experiential practices on student motivation and creativity. Findings indicate that AI significantly boosts student engagement by providing real-time, adaptive challenges, which in turn fosters higher-order creative thinking. However, the paper also addresses critical 2025 concerns regarding data privacy, algorithmic bias, and the necessity of maintaining human-centric mentorship within technology-driven environments.

References

Amabile, T. M. (2020). Creativity in supportive environments. Frontiers in Education (2025 Update). Frontiers in Education

LinkedIn (2025). The future of AI in experiential learning platforms: Simulating real-life scenarios. LinkedIn Article

Frontiers (2025). The synergy between artificial intelligence and experiential learning in enhancing students' creativity through motivation. Frontiers in Education

Digital Defynd (2025). 30 Pros and cons of using AI in education [Detailed Review]. Digital Defynd

Vidya Nova (2025). AI in education 2025: Benefits, challenges. Vidya Nova Blo

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How to Cite

Mr. Nayan Bhidodiya, Dr. Vivek Sharma. (2026). AI and Experiential Learning: Impact on Student Motivation and Creativity in the Modern Era (A conceptual Study on Academicians and Students). International Journal of Research & Technology, 14(S2), 162–170. https://doi.org/10.64882/ijrt.v14.iS2.1310

Issue

Section

Original Research Articles

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