Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome

Author:

Yu Hao,Allessio Danielle A.,Rebelsky William,Murray Tom,Magee John J.,Arroyo Ivon,Woolf Beverly P.,Bargal Sarah Adel,Betke Margrit

Publisher

Springer Nature Switzerland

Reference33 articles.

1. Agrawal, R., Joshi, A., Betke, M.: Enabling early gesture recognition by motion augmentation. In: The 11th International Conference on Pervasive Technologies Related to Assistive Environments, Corfu, Greece, June 26–29, pp. 98–101 (2018)

2. Arroyo, I., Cooper, D.G., Burleson, W., Woolf, B.P., Muldner, K., Christopherson, R.: Emotion sensors go to school. In: Proceedings of the 2009 Conference on Artificial Intelligence in Education, pp. 17–24. IOS Press (2009)

3. Arroyo, I., Mehranian, H., Woolf, B.P.: Effort-based tutoring: an empirical approach to intelligent tutoring. In: Educational Data Mining, CiteSeerX (2010)

4. Arroyo, I., Woolf, B.P., Burelson, W., Muldner, K., Rai, D., Tai, M.: A multimedia adaptive tutoring system for mathematics that addresses cognition, metacognition and affect. Int. J. Artif. Intell. Educ. 24, pp. 387–426 (2014)

5. Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization. arXiv preprint arXiv:1607.06450 (2016)

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