Analyzing collaborative learning processes automatically: Exploiting the advances of computational linguistics in computer-supported collaborative learning
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Recent developments to automate the coding of the collaborative process may extensively decrease the time needed to code a large number of protocols.
“although recent developments to automate the coding of the collaborative process may extensively decrease the time needed to code a large number of protocols (Erkens and Janssen 2008;Rosé et al. 2008).”
From Making the Black Box of Collaborative Learning Transparent: Combining Process-Oriented and Cognitive Load Approaches (2010) · cites this paper as Rosé et al. 2008
Analyzing a great number of communication protocols can be time consuming.
“Furthermore, the process of analyzing a great number of protocols can be time consuming (Rosé et al. 2008).”
From Making the Black Box of Collaborative Learning Transparent: Combining Process-Oriented and Cognitive Load Approaches (2010) · cites this paper as Rosé et al. 2008
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- Authors
- Rosé, C., Wang, Y.-C., Cui, Y., Arguello, J., Stegmann, K., Weinberger, A., & Fischer, F.
- Affiliations
- Carnegie Mellon University (US)
- Ludwig-Maximilians-Universität München (DE)
- Corresponding author
- Rosé, Carolyn
- ORCID
- Venue
- International Journal of Computer-Supported Collaborative Learning
- Published
- 2008-01-10
- Volume
- 3
- Issue
- 3
- Pages
- 237-271
- ISSN
- 1556-1607 (ISSN-L)
- 1556-1615
- OpenAlex
- W2039031214
- Cited by
- 351
- References
- 95
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 12 · 2023: 12 · 2022: 17 · 2021: 18 · 2020: 10 · 2019: 14 · 2018: 13 · 2017: 28 · 2016: 27 · 2015: 28 · 2014: 34 · 2013: 19 · 2012: 25
- FWCI
- 65.98
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Computer-Supported Collaborative Learning (publishedVersion)
- HAL (submittedVersion, other-oa)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion)
- University of Twente Research Information (submittedVersion)
- Funders
- National Science Foundation (0354420)
- Deutsche Forschungsgemeinschaft
- Office of Naval Research (N00014)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- computer-supported collaborative learning, text classification, feature extraction, reliability and validity
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