Constructing a Model for Estimating Learners’ Mental States Using Biometric Information and Reducing Labeling Costs Using Deep Learning
Author:
Affiliation:
1. ALBERT Inc.
2. Global Education Center, Waseda University
3. Faculty of Human Sciences, Waseda University
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/37/2/37_37-2_C-66/_pdf
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2. [Ben Ammar 10] Ben Ammar, M., Neji, M., Alimi, A. M., and Gouard`eres, G.: The affective tutoring system, Expert Systems with Applications, Vol. 37, No. 4, pp. 3013–3023 (2010)
3. [D’Mello 07] D’Mello, S., Picard, R.W., and Graesser, A.: Toward an affect-sensitive AutoTutor, IEEE Intelligent Systems, Vol. 22, No. 4, pp. 53–61 (2007)
4. [He 20] He, K., Fan, H.,Wu, Y., Xie, S., and Girshick, R.: Momentum contrast for unsupervised visual representation learning, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9729–9738 (2020)
5. [Hussain 11] Hussain, M. S., AlZoubi, O., Calvo, R. A., and D’Mello, S. K.: Affect detection from multichannel physiology during learning sessions with AutoTutor, in Proceedings of the International Conference on Artificial Intelligence in Education, pp. 131– 138 (2011)
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