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

Prof. Ghansah , Benjamin

Associate Professor

	+233244239515
	bghansah@uew.edu.gh

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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 O. S., Yarkwah, C.

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

ITK – Interaktiivinen Tekniikka Koulutuksessa 2025

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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