Week-Wise Student Performance Early Prediction in Virtual Learning Environment Using a Deep Explainable Artificial Intelligence

• Main Authors: Chen, Hsing-Chung, Prasetyo, Eko, Tseng, Shian-Shyong, Putra, Karisma Trinanda, Prayitno, Prayitno, Kusumawardani, Sri Suning, Weng, Chien-Erh
• Format: Article PeerReviewed
• Language: English
• Published: MDPI 2022
• Subjects: Electrical and Electronic Engineering not elsewhere classified
• Online Access: https://repository.ugm.ac.id/282194/1/Chen%20et%20al.%20-%202022%20-%20Week-wise%20student%20performance%20early%20prediction%20in%20.pdf; https://repository.ugm.ac.id/282194/; https://www.mdpi.com/2076-3417/12/4/1885
• Institution: Universitas Gadjah Mada

Early prediction of students’ learning performance and analysis of student behavior in a virtual learning environment (VLE) are crucial to minimize the high failure rate in online courses during the COVID-19 pandemic. Nevertheless, traditional machine learning models fail to predict student performa...