Predicting Student Learning from Conversational Cues

Author:

Adamson David,Bharadwaj Akash,Singh Ashudeep,Ashe Colin,Yaron David,Rosé Carolyn P.

Publisher

Springer International Publishing

Reference27 articles.

1. Adamson, D., Dyke, G., Jang., H., Rosé, C.P.: Towards an agile approach to adapting dynamic collaboration support to student needs. International Journal of AI in Education (2013)

2. Baker, R.S., Goldstein, A.B., Heffernan, N.T.: Detecting learning moment-by-moment. International Journal of Artificial Intelligence in Education 21(1), 5–25 (2011)

3. Barros, B., Verdejo, M.: An approach to analyse collaboration when shared structured workspaces are used for carrying out group learning processes. In: International Conference on Artificial Intelligence in Education. Citeseer, Le Mans (1999)

4. Barros, B., Verdejo, M.F.: Analysing student interaction processes in order to improve collaboration. The Degree Approach. International Journal of Artificial Intelligence in Education 11(3), 221–241 (2000)

5. D’Mello, S.K., Craig, S.D., Witherspoon, A., Mcdaniel, B., Graesser, A.: Automatic detection of learner’s affect from conversational cues. User Modeling and User-Adapted Interaction 18(1-2), 45–80 (2008)

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