From Stress to Success: Leveraging Tracebility and Workability to Support Student Well-Being in Higher Education

The research explores the vital role of traceability in addressing student stress within the education sector. It underscores the importance of systematically tracking and analyzing stress factors and their impacts on students over time. The study aims to develop a framework for capturing, analyzing, and responding to stress-related data in educational settings. This involves understanding student behavior and engagement through machine learning and computer vision technologies. Data collection methods include Google Forms and consultations with psychologists. The document outlines model development, training, real-time monitoring, data visualization, user interaction, and intervention strategies. Furthermore, it elucidates the concepts of traceability and workability in the context of AI, addressing challenges and strategies for overcoming them. The paper also delves into stress-related issues in education and potential solutions.