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

Authors

  • Vithya Ganesan Koneru Lakshmaiah Education Foundation image/svg+xml
  • V. Govindarajan St.Joseph’s Institute of Technology, Chennai
  • Pachipala Yellamma Koneru Lakshmaiah Education Foundation image/svg+xml
  • Naren. J Research Scholar, Tamil Nadu

DOI:

https://doi.org/10.4108/eai.12-1-2021.168090

Keywords:

Adult learning, Data science applications in education, Distance education and online learning, Media in education, Pedagogical issues, Teaching/learning strategies, Student Behaviour Prediction

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.

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Published

12-01-2021

How to Cite

[1]
V. Ganesan, V. Govindarajan, P. Yellamma, and N. J, “Analysis, Prediction and Maintenance of Teaching learning process based on empathize Students’ View of attending Online/Regular Class”, EAI Endorsed Trans e-Learn, vol. 7, no. 20, p. e4, Jan. 2021.