An Educational Psychology Inspired Approach to Student Interest Detection in Valence-Arousal Space
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64299-9_26
Reference20 articles.
1. Ashwin, T.S., Guddeti, R.M.R.: Automatic detection of students’ affective states in classroom environment using hybrid convolutional neural networks. Educ. Inf. Technol. 25(2), 1387–1415 (2020)
2. Ashwin, T., Guddeti, R.M.R.: Unobtrusive behavioral analysis of students in classroom environment using non-verbal cues. IEEE Access 7, 150693–150709 (2019)
3. Ekman, P.: An argument for basic emotions. Cogn. Emot. 6(3–4), 169–200 (1992). https://doi.org/10.1080/02699939208411068
4. Handrich, S., Dinges, L., Al-Hamadi, A., Werner, P., Saxen, F., Al Aghbari, Z.: Simultaneous prediction of valence/arousal and emotion categories and its application in an HRC scenario. J. Ambient Intell. Hum. Comput. 12(1), 57–73 (2021). https://doi.org/10.1007/s12652-020-02851-w
5. Hidi, S.: Interest, reading, and learning: theoretical and practical considerations. Educ. Psychol. Rev. 13, 191–209 (2001)
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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