Quantifying Collaboration Quality in Face-to-Face Classroom Settings Using MMLA

Author:

Chejara Pankaj,Prieto Luis P.,Ruiz-Calleja Adolfo,Rodríguez-Triana María Jesús,Shankar Shashi Kant,Kasepalu Reet

Publisher

Springer International Publishing

Reference14 articles.

1. Bassiou, N., et al.: Privacy-preserving speech analytics for automatic assessment of student collaboration. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 888–892 (2016)

2. Blikstein, P., Worsley, M.: Multimodal learning analytics and education data mining: using computational technologies to measure complex learning tasks. J. Learn. Anal. 3(2), 220–238 (2016)

3. Dillenbourg, P., Järvelä, S., Fischer, F.: The evolution of research on computer-supported collaborative learning. In: Balacheff, N., Ludvigsen, S., de Jong, T., Lazonder, A., Barnes, S. (eds.) Technology-Enhanced Learning: Principles and Products, pp. 3–19. Springer, Dordrecht (2009). https://doi.org/10.1007/978-1-4020-9827-7_1

4. Grover, S., Bienkowski, M., Tamrakar, A., Siddiquie, B., Salter, D., Divakaran, A.: Multimodal analytics to study collaborative problem solving in pair programming. In: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, LAK 2016, NY, USA, pp. 516–517. ACM (2016)

5. Ignat, C.-L., Oster, G., Fox, O., Shalin, V.L., Charoy, F.: How do user groups cope with delay in real-time collaborative note taking. In: Boulus-Rødje, N., Ellingsen, G., Bratteteig, T., Aanestad, M., Bjørn, P. (eds.) ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Norway, pp. 223–242. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20499-4_12

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