Claims

Resistance messages in asynchronous discussions elicit most messages with perspectival understanding

Claim · All claims
Evidence · 1 study · qualitative r? · q2
Currency · newest study 2016 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? In asynchronous undergraduate discussions, messages without resistance outnumber messages with resistance, yet resistance messages create most messages with perspectival understanding, together creating conditions for elaboration and new insights. → Sten Ludvigsen 2016

Evidence

Sten Ludvigsen 2016

Sten Ludvigsen. (2016). CSCL towards the future: The second decade of ijCSCL. International Journal of Computer-Supported Collaborative Learning. https://doi.org/10.1007/s11412-016-9230-x

q2 · i? · qualitative · r?

Editorial report of the study by SoonAh Lee and Kwangok Song on undergraduate psychology courses participating in asynchronous discussions about learning theories, using descriptive statistics and discourse analysis. The editorial reports the finding; the underlying article was not read directly.

"The results show that there are more messages without resistance then with resistance. However, it is the resistance messages that create most messages with perspectival understanding."

Discussion

Page metadata
Field Value
type claim
id resistance-messages-elicit-perspectival-understanding
title Resistance messages in asynchronous discussions elicit most messages with perspectival understanding
description Resistance messages in asynchronous discussions elicit most messages with perspectival understanding
status review
evidence_strength weak
newest_evidence 2016
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — sten-ludvigsen-2016

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