Predicting Student Engagement and Academic Performance in Digital Learning Environments Using Machine Learning Models: A Case Study of the University of Education, Winneba

Dr. Opoku Oppong , Stephen

Senior Lecturer

sooppong@uew.edu.gh

Profile

Publications

Predicting Student Engagement and Academic Performance in Digital Learning Environments Using Machine Learning Models: A Case Study of the University of Education, Winneba

Authors

Teye, P., Ghansah, B., Oppong, S. O., Yarkwah, C., White, E. P. G.

Publication Year

2025

Article Title

Predicting Student Engagement and Academic Performance in Digital Learning Environments Using Machine Learning Models: A Case Study of the University of Education, Winneba

Conference Title

2025 Interaktiivinen Tekniikka Koulutuksessa- ITK

Place

Finland

Predicting Student Engagement and Academic Performance in Digital Learning Environments Using Machine Learning Models: A Case Study of the University of Education, Winneba

Predicting Student Engagement and Academic Performance in Digital Learning Environments Using Machine Learning Models: A Case Study of the University of Education, Winneba

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