Analysis, Prediction and Maintenance of Teaching learning process based on empathize Students’ View of attending Online/Regular Class

Ganesan, Vithya and Govindarajan, V. and Yellamma, Pachipala and J, Naren. (2021) Analysis, Prediction and Maintenance of Teaching learning process based on empathize Students’ View of attending Online/Regular Class. EAI Endorsed Transactions on e-Learning, 7 (20). e4. ISSN 2032-9253

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Abstract

Learning models have been widely used in predicting diseases, disorders, behaviour aspects in human beings etc. The current research gives an analytical study on predicting University students’ behaviour with various Machine Learning approaches. Research shows that Machine Learning approaches outwit the strategies especially in Student behaviour analysis. An analytical study on various learning approaches and its application in Behaviour Analysis is vividly presented in the paper. The study would give an understanding on how various learning approaches could be applied in Student Behaviour Analysis that includes academic performance, behavioural study with reference to courses, Online teaching modes etc. The paper also encompasses comparison with various Machine Learning approaches in student behavioural prediction.

Item Type: Article
Uncontrolled Keywords: Adult learning, Data science applications in education, Distance education and online learning, Media in education, Pedagogical issues, Teaching/learning strategies, Student Behaviour Prediction
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 12 Feb 2021 13:07
Last Modified: 12 Feb 2021 13:07
URI: https://eprints.eudl.eu/id/eprint/1143

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