Research Article
Analysis, Prediction and Maintenance of Teaching learning process by Empathize Students’ View
@INPROCEEDINGS{10.4108/eai.16-5-2020.2304192, author={Dr Vithya Ganesan and M Vijaya Kumar and Govindarajan Govindarajan and J Naren and Yellamma Pachipala}, title={Analysis, Prediction and Maintenance of Teaching learning process by Empathize Students’ View}, proceedings={Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India}, publisher={EAI}, proceedings_a={ICASISET}, year={2021}, month={1}, keywords={adult learning data science applications in education distance education and online learning media in education pedagogical issues teaching/learning strategies student behaviour prediction}, doi={10.4108/eai.16-5-2020.2304192} }- Dr Vithya Ganesan
M Vijaya Kumar
Govindarajan Govindarajan
J Naren
Yellamma Pachipala
Year: 2021
Analysis, Prediction and Maintenance of Teaching learning process by Empathize Students’ View
ICASISET
EAI
DOI: 10.4108/eai.16-5-2020.2304192
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.
