Artificial Intelligence-Enhanced Education and Student Psychological Well-Being: Exploring the Balance Between Digital Innovation and Mental Health

Abstract

The rapid advancement of artificial intelligence (AI) has transformed higher education by introducing intelligent learning technologies that enhance teaching, learning, and academic management. Despite these advancements, concerns have emerged regarding their potential influence on students' psychological well-being and mental health. Thus, the objective of this research was to analyze the implications of artificial intelligence-based education and the role of digital innovation on students' mental health in the context of higher education. The study adopted a quantitative cross-sectional research design. A survey was the only research instrument. The study population was comprised of under and post-graduate students who attended the public and private sector universities of Punjab and Sindh, Pakistan. The universities were Bahauddin Zakariya University, The Islamia University of Bahawalpur, University of the Punjab, Government College University Faisalabad, University of Sindh, Shah Abdul Latif University, and University of Karachi. A sample of 467 participants was surveyed. The sample was selected using the convenience sampling method. The researcher collected the data using an online survey created in Google Forms. The survey was distributed via university email groups, WhatsApp groups, and other academic online platforms. The researcher downloaded the responses, and data were screened and transferred to IBM SPSS Statistics for analysis. The researcher applied descriptive statistics to analyze participants' demographic data, and used Cronbach's alpha to evaluate scale reliability. To study the relationship of artificial intelligence-based education and the mental health of students, the researcher applied Pearson correlation analysis, and for the role of digital innovation, the researcher employed multiple regressions. The researcher employed an independent samples t-test and a one-way analysis of variance (ANOVA) to assess the impact of demographic variables on students' mental health. The results showed that student psychological well-being improved with Artificial intelligence-enhanced education integrated with digital innovation. Furthermore, developing more engaging, personalized, and supportive learning environments improved student psychological well-being. Implementing Artificial Intelligence ethically and human-centered in psychologically supportive educational practices helped balance innovative technologies with student mental health. The results add to current understanding of Artificial Intelligence in higher education and provide insights for educators, university administrators, and policymakers, as well as educational technologies, to create more sustained digital transformations for greater student psychological well-being.