Early Academic Performance Prediction in Secondary Education: Are Simple Machine Learning Models Enough?
It is shown that simple, transparent models operating on routinely collected gradebook data deliver actionable early-warning signals within the digital competence of most practising teachers; group-level prediction additionally protects student identity by ensuring no individual is labelled at-risk, combining predictiv...