ASSESSING THE EFFECTIVENESS OF DIGITAL WELLBEING TOOLS ON STUDENT STRESS WITH INSIGHTS FROM AI CHATBOTS AND SELF-GUIDED INTERVENTIONS

Abstract

The study will address how digital wellbeing resources, chatbots based on AI, and self-managed interventions can be used in managing stress among students in a multimodal and human-centred strategy. As the use of AI-based mental support in colleges and universities gains more and more popularity, the research problem is to determine how the variables, including self-efficacy, digital wellbeing behaviors, and the use of AI chatbots, affect stress among university students. It has been implemented in terms of a quantitative research method and survey among 300 students with various academic backgrounds has been conducted. Students who were more self-efficacious and who were employed with the digital wellbeing more actively utilized AI chatbots, where the lower degree of stress also accompanied. The findings indicate that it is not enough to merely provide AI tools, but an all-encompassing strategy that will enable learners to develop self-efficacy, adopt active digital wellbeing strategies, and suggest that they engage with AI chatbots on a regular basis is the key to effective stress management. The research will be applicable in teachers and policy makers planning to explore human-based interventions of digital wellbeing in universities.