Multimodal analytics to study collaborative problem solving in pair programming-Reference-Cited by-同舟云学术

Multimodal analytics to study collaborative problem solving in pair programming

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16
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Author:

Grover Shuchi¹,Bienkowski Marie¹,Tamrakar Amir²,Siddiquie Behjat²,Salter David²,Divakaran Ajay²

Affiliation:

1. SRI International, Menlo Park, CA

2. SRI International, Princeton, NJ

Publisher

ACM Press

Reference8 articles.

1. Amer, Mohamed R., et al. 2015. Human Social Interaction Modeling Using Temporal Deep Networks.arXiv preprint arXiv:1505.02137(2015).

2. Astrachan, O., & Briggs, A. (2012). The CS principles project.ACM Inroads,3(2), 38--42.

3. Hannay, J. E., Dybå, T., Arisholm, E., & Sjøberg, D. I. 2009. The effectiveness of pair programming: A meta-analysis.Information and Software Technology,51(7), 1110--1122.

4. Hesse, F., Care, E., Buder, J., Sassenberg, K., & Griffin, P. 2015. A framework for teachable collaborative problem solving skills. InAssessment and teaching of 21st century skills(pp. 37--56). Springer Netherlands.

5. McDowell, C. et al. 2006. Pair programming improves student retention, confidence, and program quality.Communications of the ACM,49(8), 90--95.

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