Artificial Intelligence in Education for Personalized Learning a Case Study of Mirpur University of Science and Technology (Must) Mirpur AJ&K

Abstract

The use of Artificial Intelligence (AI) has been increasingly popular in education especially higher education. Therefore, this research aims to explore the use of AI technologies in higher institutions, evaluate their effectiveness in enhancing academic achievement and students' engagement, and identify implementation-related challenges.  Undergraduate students from various faculties were 380 randomly selected and provided questionnaires as part of a quantitative research design. Based on the results, the majority (91.1%) of the students actively use AI technologies for academic assistance, test preparation, and assignment writing, such as Chat GPT, QuillBot, and Canva.  Students reported higher motivation, improved understanding of course content, improved time management, and overall academic achievement because of AI-enabled learning. Despite these benefits, weaknesses were found to include data privacy problems, technological limitations, inadequate training, and the continued role of human participation in learning.  As per the research findings, AI technologies improve personalized learning at MUST; however, effective implementation calls for corresponding infrastructure, ethical standards, and training for teachers and students. This research provides perceptive details regarding the assimilation of AI into higher education spaces and offers possible solutions to increase its efficiency when applied within academic institutions.