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Jan van Aalst's seven-code discourse coding scheme

Research Method · All research methods
Evidence · 3 claims (3 for) · 2 studies (1 review, 1 qualitative), q2 · 0 of 2 report an effect size · 3 claims rest on one study

Description

A coding scheme developed to analyze asynchronous group discourse in Knowledge Forum and to identify mechanisms explaining between-group differences in summary-note performance. As printed, "It includes seven main codes: Community, Ideas, Questions, Information, Links, Agency, and Meta-Discourse." Each of 33 subcodes was rated low, medium, or high for its relevance to knowledge sharing, knowledge construction, and knowledge creation. Notes were coded in Atlas-ti QDA software (399 notes, approximately 60,000 words), with inter-rater reliability of .82 (Cohen kappa) on the mode-relevance ratings.

Accounts

  • Discourse coding scheme with seven main codes and 33 subcodes: A coding scheme developed to analyze asynchronous group discourse in Knowledge Forum and to identify mechanisms explaining between-group differences in summary-note performance. As printed, "It includes seven main codes: Community, Ideas, Questions, Information, Links, Agency, and Meta-Discourse." Each of 33 subcodes was rated low, medium, or high for its relevance to knowledge sharing, knowledge construction, and knowledge creation. Notes were coded in Atlas-ti QDA software (399 notes, approximately 60,000 words), with inter-rater reliability of .82 (Cohen kappa) on the mode-relevance ratings. (Jan van Aalst (2009))

Claims

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Key Sources

  • Jan van Aalst. (2009). Distinguishing knowledge-sharing, knowledge-construction, and knowledge-creation discourses. Computer-Supported Collaborative Learning. https://doi.org/10.1007/s11412-009-9069-5
Page metadata
Field Value
type research-method
id jan-van-aalsts-seven-code-discourse-coding-scheme
title Jan van Aalst's seven-code discourse coding scheme
description A coding scheme developed to analyze asynchronous group discourse in Knowledge Forum and to identify mechanisms explaining between-group differences in summary-note performance.
status review
generated by process:settle-candidates on 2026-10-18
trust unverified — no one has confirmed this page's content

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