Claims

Learning in virtual communities ranges across many settings, requiring connective ethnography and analysis at multiple units of analysis

Claim · All claims
Evidence · 1 study · qualitative r? · q1
Currency · newest study 2008 · 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.

q1 i? Learning is an important part of participation in virtual communities and ranges across many settings, requiring data analysis at multiple units of analysis. → Gerry Stahl 2008

Evidence

Gerry Stahl 2008

Gerry Stahl. (2008). Yes we can! Computer-Supported Collaborative Learning. https://doi.org/10.1007/s11412-008-9055-3

q1 · i? · qualitative · r?

The editorial describes Fields and Kafai's connective ethnography of pre-teenage newcomers to a virtual community learning about a desirable virtual meeting place called "the moon" and how to get there, connecting server logs, video, field notes and interviews.

"To document how community members are socialized into community practices like meeting on the moon, the researchers had to "connect" data from diverse ethnographic sources: server log data, video recordings, field notes, and interviews."

Discussion

Page metadata
Field Value
type claim
id virtual-community-learning-multiple-units-of-analysis
title Learning in virtual communities ranges across many settings, requiring connective ethnography and analysis at multiple units of analysis
description Learning in virtual communities ranges across many settings, requiring connective ethnography and analysis at multiple units of analysis
status review
evidence_strength weak
newest_evidence 2008
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — gerry-stahl-2008

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