INTERNATIONAL JOURNAL OF ADVANCE RESEARCH
IN MULTIDISCIPLINARY

Artificial intelligence (AI) is a game-changer in the world of higher education, altering both the teaching and learning processes, how we evaluate students' progress, and how we get them involved. The accessibility and personalization of education have been greatly improved by AI-based learning technologies, which include generative AI apps, automated assessment systems, adaptive learning platforms, virtual assistants, intelligent tutoring systems, dashboards for learning analytics, and more. The purpose of this study is to examine the effects of AI learning aids on the interest, engagement, and achievement of college students. College and university students, both undergraduate and graduate, fill out the survey using a quantitative approach. A systematic questionnaire is used to collect information and evaluate the following: academic performance, emotional involvement, cognitive engagement, behavioural engagement, and utilization of AI tools. To investigate the connections between variables, statistical methods such structural equation modelling, multiple regression, correlation analysis, and descriptive statistics are suggested. Through adaptive instructional assistance, real-time feedback, and individualized learning experiences, AI-based learning aids boost student engagement and performance in the classroom. But there are still big problems, such people not knowing enough about technology, ethical dilemmas, algorithmic prejudice, and being too reliant on it. This research adds to the expanding canon of literature on educational technology by demonstrating, via experimentation, how successful AI-powered classrooms may be. If lawmakers, administrators, and tech developers want to make the most of artificial intelligence's pedagogical potential at universities, the results have important consequences for practice.