predictive-analytics-model-for-early-detection-of-at-risk-undergraduate-students-case-study-4-2024-056Ebuka Danladi2024This study proposes a predictive analytics model for identifying undergraduate students at risk of delayed academic progression. It uses academic records, attendance indicators, and supervised learning techniques to support timely intervention while emphasizing privacy, fairness, and institutional accountability.https://inrepscholar.com/projects/935