A study on experiential learning through AI tools: Impact on student engagement and learning effectiveness

Volume 2, Issue 1 (Mar to May)

Authors: Susan Diana S., Catherine Vino F. and Jenifer D.

DOI: doi.org/10.64848/WJST.2.1.2026.1-13

Page No: 1-13

Keywords: AI tools, Experiential learning, Student engagement

Download PDF

Abstract

The study aims to analyze how AI-powered tools enhance experiential learning and impact effective student engagement and learning, in an effort to fill the existing gaps regarding the influence of AI-driven learning platforms on student motivation, participation, interaction, and practical understanding. The paper focuses on the quantitative method of primary data collection through a structured Google Form administered to college students, representing their perceptions related to AI-enabled experiential learning. Findings reveal that AI-powered tools have improved practical understanding among students by making hands-on activities much clearer, interactive and easily applicable in real life. Student engagement was found to increase, reflected in heightened motivation and participation, and improved collaboration with peers and AI Systems. AI-aided learning also led to improved academic performance, thanks to clearer concepts, enhanced analysis, and more effective problem-solving. On the other hand, despite these advantages, student’s reported variable comfort levels, citing challenges like unfamiliarity with tools, technical complexity and dependence on AI. Further, unequal device and internet access, issues of privacy and fears of algorithmic bias hampered engagement for some groups of students. Nobody, not all learning styles benefited equally from the AI-powered tools; technical and visual learners adapted more easily than theoretical ones. This analysis comprehensively provides evidence regarding AI’s Influence on experiential learning and student engagement, which is relatively unexplored.The study aims to analyze how AI-powered tools enhance experiential learning and impact effective student engagement and learning, in an effort to fill the existing gaps regarding the influence of AI-driven learning platforms on student motivation, participation, interaction, and practical understanding. The paper focuses on the quantitative method of primary data collection through a structured Google Form administered to college students, representing their perceptions related to AI-enabled experiential learning. Findings reveal that AI-powered tools have improved practical understanding among students by making hands-on activities much clearer, interactive and easily applicable in real life. Student engagement was found to increase, reflected in heightened motivation and participation, and improved collaboration with peers and AI Systems. AI-aided learning also led to improved academic performance, thanks to clearer concepts, enhanced analysis, and more effective problem-solving. On the other hand, despite these advantages, student’s reported variable comfort levels, citing challenges like unfamiliarity with tools, technical complexity and dependence on AI. Further, unequal device and internet access, issues of privacy and fears of algorithmic bias hampered engagement for some groups of students. Nobody, not all learning styles benefited equally from the AI-powered tools; technical and visual learners adapted more easily than theoretical ones. This analysis comprehensively provides evidence regarding AI’s Influence on experiential learning and student engagement, which is relatively unexplored.