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Predict Trainee’s Comprehension from Computer Operations with Deep Learning

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1211)

Abstract

In this study, we developed three deep learning models to predict their confirmation test scores from the PC operation of security lecture participants and conducted a comparative experiment. The proposed model consists of three models: a model that predicts from the trainee’s mouse operation, a model that predicts from the trainee’s keyboard operation, and a model that predicts from both operations. As a result of the experiment, the mouse and keyboard operation model predict superior to other models for the accuracy, and the prediction from keyboard operation was superior for Recall, Recall and F1.

Keywords

Deep learning Education Learning sciences 

References

  1. 1.
    Venkat, N., Srivastava, S., Garg, L.: Predicting Student Grades using Machine Learning (2018).  https://doi.org/10.13140/rg.2.2.21516.77449/1
  2. 2.
    Hussain, M., Zhu, W., Zhang, W., Abidi, S.M.R., Ali, S.: Using machine learning to predict student difficulties from learning session data. Artif. Intell. Rev. 52(1), 381–407 (2018).  https://doi.org/10.1007/s10462-018-9620-8CrossRefGoogle Scholar
  3. 3.
    Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735–1780 (1997)CrossRefGoogle Scholar
  4. 4.
    Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111–3119 (2013)Google Scholar
  5. 5.
    Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)

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.National Institute of Information and Communications TechnologyKoganeiJapan

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