openalexThe University Journal2026-07-23
Machine Learning for Teacher Depression Prediction: A Systematic Literature Review of Risk Factors, Predictive Models, Explainability, and Deployment
Gilbert Yegon, Edward Ombui, Collins Oduor
Depression among teachers is a global public health concern with significant consequences for educator well-being, teaching effectiveness, and student outcomes. Despite growing evidence regarding its prevalence and associated risk factors, the application of machine learning (ML)…