An Analysis of Empowering College Mental Health Education with Digital and Intelligent Technologies

Abstract

Against the backdrop of the deep integration of digitalization and intelligence, digital and intelligent technologies provide crucial support for the transformation of college mental health education models. This study systematically analyzes the practical inevitability of digital and intelligent technologies empowering college mental health education, and sorts out their main application scenarios such as dynamic monitoring and early warning, human-machine collaborative counseling, and precise matching of psychological resources. On this basis, it prudently reflects on the potential risks in the practice of digital and intelligentization, including data ethics issues, the weakening of humanistic care, and algorithmic biases. Furthermore, it puts forward implementation paths from the aspects of improving data governance, adhering to human-machine collaboration, and strengthening value guidance, aiming to promote the organic unity of quality and efficiency improvement and value protection in college mental health education under technological empowerment.