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Cited by 475

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Learning within incoherent structures: the space of online discussion forums

Thomas, M.J.W.·2002·Journal of Computer Assisted Learning

Abstract

Abstract Online discussion forums are an increasingly common use of new information and communication technologies in education. As a tool for promoting conversational modes of learning, it has been suggested that online discussion forums can lead to enhanced learning outcomes for students. However, there is a need to explore further the implications of the highly mediated nature of computer–based interaction on student learning within these virtual learning environments. This paper presents results from a detailed study of students' learning outcomes and patterns of interaction within an online discussion forum. The findings suggest that the typical nonlinear branching structure of online discussion may be insufficient for the realisation of truly conversational modes of learning. The paper discusses the implications of these findings in relation to students' learning.

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Metadata

Authors
Thomas, M. J. W.
Venue
Journal of Computer Assisted Learning
Publisher
Wiley
Published
2002-09
Volume
18
Issue
3
Pages
351-366
ISSN
  • 0266-4909 (ISSN-L)
  • 1365-2729
OpenAlex
W1498339595
Cited by
475
References
1
FWCI
38.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Learning within incoherent structures: the space of online discussion forums. https://app.cochat.ai/papers/10.1046/j.0266-4909.2002.03800.x
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Thomas, M. J. W. (2002). Learning within incoherent structures: the space of online discussion forums. Journal of Computer Assisted Learning. https://doi.org/10.1046/j.0266-4909.2002.03800.x

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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.