Predicting Student Engagement and Academic Performance in Digital Learning Environments Using Machine Learning Models: A Case Study of the University of Education, Winneba
Venue: ITK Conference, Finland · Year: 2025 · Pages: 157–167
This work explores machine learning approaches to predicting student engagement and academic performance in digital learning environments. Add the final proceedings link, DOI, complete author list, and citation format after verifying the official publication record.