Leveraging AI-Powered Adaptive Tutoring to Address Motivation Challenges in University Pedagogy
Journal of Logistics Informatics and Service Science · 2024
This study develops an intelligent tutoring system powered by ChatGPT and VARK framework to deliver personalized and adaptive learning experiences addressing low student motivation levels.The web-based prototype is tested on student samples at an Indonesian university using black box and usability analyses.Results indicate the system can enhance motivation by aligning teaching with individual learning styles and interests.The research contributes by demonstrating the potential of AI-based personalized education models to improve teaching quality and efficiency amidst prevailing pedagogical challenges.Practical insights are offered for institutes seeking technology-enabled solutions to re-engage students.Further testing on academic performance impact is warranted.