MindGuard is an AI-powered agentic system that continuously monitors multi-dimensional student wellness signals including daily attendance patterns, academic scores, social interaction levels, emotional states captured by teachers, and free-text journal entries and uses a large language model to perform structured risk assessment, generate targeted intervention plans, and automatically alert mentor staff.
Emotional intelligence (EI) plays a critical role in helping young adults manage peer conformity pressures during the transition to higher education, yet most existing EI interventions are lengthy, resource-intensive programmes impractical for many educational settings. This case study examines a two-session, brief psy...
Unknown authors· Asian Journal of Research in...· 0 citations
Chronic stress contributes to adverse physical and mental health outcomes. Regular mindfulness practice has been shown to reduce stress and improve well-being. Although digital mindfulness tools are widespread, most applications rely on pre-recorded guided content and offer limited support for monitoring users’ inter...
Frances Anne Belleza, Jing-Yi Xie· Proceedings of the Human Fac...· 0 citations
Traditional mental health assessment often relies on infrequent self-report questionnaires (e.g., PHQ-9), which provide sparse, retrospective snapshots of well-being and may miss critical daily fluctuations. This creates an opportunity for low-burden assessments embedded in everyday interactions, such as open-ended con...
T. Bùi· Proceedings of the 28th Inte...· 0 citations
PocketPsyc is presented, a mobile-based system designed to deliver scalable, evidence based mental health support through Cognitive Behavioral Therapy (CBT) and provides a technically feasible, privacy-preserving, and scalable solution for delivering AI-assisted mental health support in underserved populations.
A. Maqsood, Altaf Hussain, Marran Al Qwaid et al.· Computer Science and Informa...· 0 citations
Progress monitoring of students’ academic and social-emotional development is a key component in data-driven decision-making frameworks, such as Multi-Tiered System of Supports (MTSS). Digital solutions offer promising opportunities to improve efficiency, accuracy, and user-friendliness in collecting and analyzing beha...
J. Nitz· Journal of Psychologists and...· 0 citations
This qualitative descriptive study examined how emerging adult students training in health sciences, psychology, and social work envision the collaboration between AI/AEI tools and human clinicians, converging on a synergetic model in which AI/AEI augments, rather than replaces, clinician judgment.
F. Joseph, J. G. Bernardshaw, C. Palanisamy· RESEARCH REVIEW Internationa...· 0 citations
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