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.
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Kobayashi, K., Satoh, H. (2020). Predict Trainee’s Comprehension from Computer Operations with Deep Learning. In: Nazir, S., Ahram, T., Karwowski, W. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1211. Springer, Cham. https://doi.org/10.1007/978-3-030-50896-8_5
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DOI: https://doi.org/10.1007/978-3-030-50896-8_5
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