A Study on Effectiveness of AI-Based Adaptive Learning Systems in Colleges in Thane District

Abstract

AI-powered adaptive learning platforms are transforming higher education by offering automated assessments, instant feedback, and personalized learning experiences. Tools like ChatGPT, Coursera, and AI-driven learning management systems enhance student engagement by tailoring content to individual needs while also assisting educators with lesson planning and performance tracking. Although these technologies are gaining traction in Thane District, widespread adoption is hindered by challenges such as inadequate faculty training, technological constraints, and ethical concerns.
This study examines the perspectives, challenges, and overall satisfaction of faculty and students regarding the effectiveness of AI-driven adaptive learning systems in colleges across Thane District. Findings indicate that while only 40% of educators integrate AI into their teaching, 80% of students actively utilize AI tools. Despite this gap, 65% of faculty and 70% of students express satisfaction with AI-enhanced learning. Key barriers include technical constraints, ethical concerns, and insufficient faculty training. Additionally, skepticism among educators about AI’s reliability and long-term impact remains a concern. The study highlights the need for faculty training programs, institutional support, and structured AI implementation strategies to maximize the effectiveness of AI-driven learning in higher education.