SOURCE-LINKED INTELLIGENCE

Predicting Symptoms of Amotivation and Anhedonia among University Students with a Novel Oversampling Method

arXiv · AI, language, vision and robotics · article · Aug 31, 2026 · UTC

University students experience disproportionately high rates of common mental health conditions, such as depression, which can impair learning, social functioning, and overall well-being. Within this context, symptoms of amotivation (i.e. loss of motivational drive) and anhedonia (i.e. diminished interest or pleasure) are particularly debilitating, yet they frequently go undetected. Developing new approaches to identify students with prominent amotivation and anhedonia could enable earlier and more targeted intervention. Machine learning (ML) methods have increasingly been used to classify ind

Read original source ↗ Open in workspace

recordType

paper

region

Global