Claims

Network activities predict perceived learning potential among youth in online networks.

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2013 · 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.

q3 i? Network activities predicted perceived learning potential in multilevel regression analyses. → Ünlüsoy 2013

Evidence

Ünlüsoy 2013

Ünlüsoy, A., de Haan, M.J., Leander, K., & Völker, B. (2013). Learning potential in youth's online networks: A multilevel approach. Computers & Education, 69, 522-533. https://doi.org/10.1016/j.compedu.2013.06.007

q3 · i? · associational · r2

Multilevel regression analyses of ego-network data from 1227 participants (6135 contacts) tested whether network activities predicted perceived learning potential.

"Multilevel regression analyses were conducted respectively to measure the impact of individual and network-characteristics on network activities and to see whether network activities predicted perceived learning potential."

Discussion

Page metadata
Field Value
type claim
id network-activities-predict-perceived-learning-potential
title Network activities predict perceived learning potential among youth in online networks.
description Network activities predict perceived learning potential among youth in online networks.
status review
evidence_strength moderate
newest_evidence 2013
generated by process:wiki-ingest on 2026-10-30
trust unverified — no one has confirmed this page's content
sources 1 — ünlüsoy-2013

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