Artificial intelligence in higher education: Psychological implications for students
TL;DR
The findings indicate that AI enhances learning motivation, academic engagement, self-efficacy, self-efficacy, self-regulated learning, and psychological well-being through personalized learning, adaptive feedback, and flexible educational support.
Abstract
Artificial intelligence (AI) has rapidly transformed higher education by reshaping teaching practices, learning environments, and students' educational experiences. Alongside its pedagogical benefits, AI has generated increasing interest regarding its psychological implications for university students. This study aims to synthesize current evidence concerning the psychological effects of AI in higher education and to identify educational implications for its responsible implementation. A qualitative documentary research approach was employed using secondary data collected from peer-reviewed journal articles, systematic reviews, conference proceedings, academic books, and official reports, with priority given to publications indexed in Scopus and Web of Science between 2019 and 2025. Qualitative content analysis was applied to identify major themes related to students' psychological experiences in AI-supported learning environments. The findings indicate that AI enhances learning motivation, academic engagement, self-efficacy, self-regulated learning, and psychological well-being through personalized learning, adaptive feedback, and flexible educational support. At the same time, AI presents significant psychological challenges, including excessive dependence on AI-generated content, reduced critical thinking, academic anxiety, ethical concerns, technology dependence, and risks to academic integrity. The review further highlights that the psychological impact of AI depends largely on how educational institutions integrate AI into teaching and learning rather than on the technology itself. In the context of higher education in Vietnam, successful AI implementation requires not only technological infrastructure but also AI literacy, ethical guidelines, innovative assessment practices, and psychological support for students. The study contributes to the growing literature on educational psychology and provides theoretical and practical implications for developing responsible, ethical, and psychologically supportive AI-enhanced higher education.