Gilbert Yegon

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)…Read more