The DOI matches its Crossref record.
EXPLORING COLLABORATIVE ONLINE LEARNING
Open accessAbstract
An investigation was carried out to determine the extent to which evidence of collaborative learning could be identified in students’ textual interactions in an online learning environment. The literature on collaborative learning has identified a range of behaviors that characterize successful collaborative learning in face-to-face situations. Evidence of these behaviors was sought in the messages that were posted by students as they interacted in online work groups. Analysis of students’ contributions reveals that there is substantial evidence of collaboration, but that there are differences between conventional face-to-face instances of collaborative learning and what occurs in an asynchronous, networked environment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
So, H.-J., & Brush, T. A. (2008) · Computers & Education · doi:10.1016/j.compedu.2007.05.009 · Cited by 1,221
Validity in quantitative content analysis
Rourke, L., & Anderson, T. (2004) · Educational Technology Research and Development · doi:10.1007/bf02504769 · Cited by 444
Cross-cultural Comparisons of Online Collaboration
Kim, K.-J., & Bonk, C. J. (2006) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2002.tb00163.x · Cited by 223
Biesenbach-Lucas, S. (2003) · Online Learning · doi:10.24059/olj.v7i3.1843 · Cited by 126
Wang, M.-J. (2010) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1045 · Cited by 113
Metadata
- Authors
- Curtis, D. D., & Lawson, M. J.
- Venue
- Online Learning
- Publisher
- The Online Learning Consortium
- Published
- 2019-03-19
- Volume
- 5
- Issue
- 1
- ISSN
- 1092-8235 (ISSN-L)
- 2472-5730
- 2472-5749
- OpenAlex
- W2924487031
- Cited by
- 316
- References
- 0
- FWCI
- 20.76
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: EXPLORING COLLABORATIVE ONLINE LEARNING. https://app.cochat.ai/papers/10.24059/olj.v5i1.1885
- The paper
- Curtis, D. D., & Lawson, M. J. (2019). EXPLORING COLLABORATIVE ONLINE LEARNING. Online Learning. https://doi.org/10.24059/olj.v5i1.1885
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.