AI-Supported Education and Student Mental Health: Balancing Innovation with Psychological Well-Being

Abstract

Artificial intelligence (AI) has transformed higher education by introducing intelligent learning environments that support personalized instruction, adaptive learning, automated assessment, and enhanced student engagement. While AI-supported education offers substantial academic benefits, its implications for students' mental health and psychological well-being remain insufficiently explored. Therefore, this study examined the relationship between AI-supported education and student mental health, This research aimed to identify artificial intelligence-supported education systems and teaching models and the effect that AI-assisted education has on students' psychological well-being and mental state. It focused on health in the field of higher education, balancing the innovations and psychological health of students. A quantitative, cross-sectional study was used. The primary data used were collected by means of a structured questionnaire. The targeted population for this study included both undergraduate and postgraduate students enrolled at public and private universities in Punjab and Sindh, Pakistan, including Bahauddin Zakariya University, The Women University Multan, University of the Punjab, Government College University Faisalabad, Islamia University of Bahawalpur, University of Sindh Jamshoro, Mehran University of Engineering and Technology, NED University of Engineering and Technology Karachi, Foundation university medical college, and the University of Karachi. The specific sample used for this study was convenience sampling. Google Forms were distributed to university mailing lists and academic social media platforms, collecting data from 457 participants. The data were screened using Microsoft Excel. The data were analyzed using IBM SPSS Statistics Version 27. Descriptive statistics and inferential statistics including Cronbach's Alpha, Pearson’s correlation, multiple linear regression, Independent Samples t-test, and One-Way ANOVA were employed for this study. The results showed that AI-supported education positively affected student mental health and psychological well-being, showing distinct demographic patterns for respondents. The results of this study build on established research to show that, when critically applied in the field of higher education, AI innovation may support the enhancement of not only teaching and learning but also the psychological well-being of students. Based on the results, recommendations are made for educators, higher education administrators, and policy makers, as well as instructional designers and education technology entrepreneurs, to aid the development of ethical, student-centered, and psychological support frameworks for the use of AI Learning technologies within the field of higher education.