Complexity of Academic Emotions in Online Video-Based Learning: Implications for Asian Learners

Author:

So Hyo-Jeong,Ha Seunghye,Kim Eunyoung

Publisher

Springer Nature Singapore

Reference48 articles.

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2. Baker, R. S., Walker, E., Ogan, A., & Madaio, M. (2020). Culture in computer-based learning systems: Challenges and opportunities. Computer-Based Learning in Context, 1(1), 1–13.

3. Borges, N., Lindblom, L., Clarke, B., Gander, A., & Lowe, R. (2019, September). Classifying confusion: Autodetection of communicative misunderstandings using facial action units. In Proceedings of the 2019 8th international conference on affective computing and intelligent interaction workshops and demos (ACIIW) (pp. 401–406). IEEE.

4. Bosch, N., Chen, Y., & D’Mello, S. (2014). It’s written on your face: Detecting affective states from facial expressions while learning computer programming. In S. Trausan-Matu, K. E. Boyer, M. Crosby, & K. Panourgia (Eds.), ITS2014 international conference on intelligent tutoring systems (pp. 39–44). Springer.

5. Bosch, N., D’Mello, S. K., Baker, R. S., Ocumpaugh, J., Shute, V., Ventura, M., et al. (2016, January). Detecting student emotions in computer-enabled classrooms. In Proceedings of the 25th international joint conference on artificial intelligence (pp. 4125–4129). AAAI Press.

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