Using big data techniques for measuring productive friction in mass collaboration online environments-Reference-Cited by-同舟云学术

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Using big data techniques for measuring productive friction in mass collaboration online environments

Published:2018-10-23 Issue:4 Volume:13 Page:439-456
ISSN:1556-1607
Container-title:International Journal of Computer-Supported Collaborative Learning
language:en
Short-container-title:Intern. J. Comput.-Support. Collab. Learn

Author:

Holtz Peter,Kimmerle Joachim,Cress Ulrike

Funder

H2020 Industrial Leadership

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Education

Link

http://link.springer.com/article/10.1007/s11412-018-9285-y/fulltext.html

Reference94 articles.

1. Antonenko, P. D., Toy, S., & Niederhauser, D. S. (2012). Using cluster analysis for data mining in educational technology research. Educational Technology Research and Development, 60, 383–398.

2. Bakshy, E., Messing, S., & Adamic, L. A. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348, 1130–1132.

3. Baumeister, R. F., Vohs, K. D., & Funder, D. C. (2007). Psychology as the science of self-reports and finger movements: Whatever happened to actual behavior? Perspectives on Psychological Science, 2, 396–403.

4. Bientzle, M., Cress, U., & Kimmerle, J. (2013). How students deal with inconsistencies in health knowledge. Medical Education, 47, 683–690.

5. Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network analysis in the social sciences. Science, 323, 892–895.

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