Personalized Learning through AI and its Effects on Students’ Perception and Engagement

This study was exploring personalized learning through AI and its effect on students’ perception and engagement. The main objective of the study was to explore the relationship between students’ perception of AI integration and their academic engagement. The population of the study was all the universities of District Sargodha. To collect the sample, the multistage sampling technique was used. First of all, from all the universities of district Sargodha, one public university and one private university were selected. From each university 6 faculties were selected (social science, information technology, allied health sciences, management sciences, sciences, and languages). A stratum of 50 students was made from each faculty of both universities, and a total of 300 students were selected. This study was quantitative in nature, so a self-developed questionnaire was used to gather data from the respondents. The chi-square was used to find out the conclusions. The results of the study were that there was a significant association between students’ perception of academic engagement and AI-personalized learning content at the graduate level. On the basis of the conclusion, it was recommended that to optimize AI-powered learning for graduate students, prioritize engagement-driven strategies, simplify AI interactions for enhanced accessibility, and continuously refine AI models for high personalized accuracy.