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A Detection Model for E-Learning Behavior Problems of Student Based on Text-Mining

  • Wenhui PengEmail author
  • Zhongguo Wang
  • Junyi Zheng
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1126)

Abstract

Finding a solution to reduce academic risk is an often-required task in online and hybrid courses. It is insufficient for teachers to rely on intuition and experience to identify the students with potential academic risk in e-learning. Therefore, in this study, we propose a detection model to automatically detect e-learning behavior problems of students. We used web course as pre-class learning task in information technology and curriculum integration course in the fall semester of 2018 at Central China Normal University, and recorded one semester of online discussions and learning behavior traces, involved 78 students in total. The experimental results indicated that the detection model can effectively identify poor time management, academic procrastination, low participation, and dishonest behavior. The model is useful to identify the student’s negative emotion which lasted a certain amount of time, but insufficient to identify the short-term emotional state which depended on high classification accuracy. The detection model and these results give the researchers and teachers a view of early alert for students at risk of academic failure, and how to improve student success in e-learning.

Keywords

E-learning behavior problems E-learning Text mining Detection model 

Notes

Acknowledgements

This work was supported by Chinese Ministry of Education & China Mobile under Grant [number: MCM20170502]; Department of Science and Technology of Hubei Province of China under Grant [number: 2017ACA105].

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Educational Information TechnologyCentral China Normal UniversityWuhanChina
  2. 2.School of Journalism and CommunicationNanyang Normal UniversityNanyangChina
  3. 3.School of Mechanical and Electronic EngineeringWuhan University of TechnologyWuhanChina

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