Nan Kong

Beyond Surveys: Predicting Student Well-being from Open-ended Video Responses using LLMs

Traditional well-being assessment relies on infrequent self-report questionnaires (e.g., PHQ-9), which provide only sparse, retrospective snapshots of well-being and may miss everyday fluctuations. This creates an opportunity for low-burden, lightweight assessments embedded in everyday interactions, such as open-ended...