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Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning

  • Published:2019-04-01 Issue:2 Volume:12 Page:158-170
  • ISSN:1939-1382
  • Container-title:IEEE Transactions on Learning Technologies
  • language:
  • Short-container-title:IEEE Trans. Learning Technol.

Author:

Botelho Anthony F.ORCID,Varatharaj Ashvini,Patikorn Thanaporn,Doherty Diana,Adjei Seth A.ORCID,Beck Joseph E.

Funder

National Science Foundation

U.S. Department of Education

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,General Engineering,Education

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The power of Deep Learning techniques for predicting student performance in Virtual Learning Environments: A systematic literature review;Computers and Education: Artificial Intelligence;2024-06

2. GA-CNN: Analyzing student’s cognitive skills with EEG data using a hybrid deep learning approach;Biomedical Signal Processing and Control;2024-04

3. Knowledge Tracing Based Wheel Spinning Detection Model in Intelligent Tutoring Systems;2024 13th International Conference on Educational and Information Technology (ICEIT);2024-03-22

4. Estimating the Causal Treatment Effect of Unproductive Persistence;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18

5. Remote monitoring of implementation fidelity using log-file data from multiple online learning platforms;Journal of Research on Technology in Education;2024-01-22
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