Predictive Analysis of Student Engagement and Academic Performance in Virtual Learning Environments Using a Hybrid Markov: Machine Learning Model
Osmanli Tabriz · Asian Journal of Research in Computer Science · 2025
The study aims at improving the prediction of student engagement and academic success in virtual learning environments (VLEs) by proposing a hybrid ensemble model that integrates Markov Chains, Hidden Markov Models (HMMs), and supervised machine learning algorithms. Traditional m...
Open access
Research Article
10.9734/ajrcos/2025/v18i8743