Claims

Individual-level analysis alone is insufficient for understanding learning in digital environments.

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? The divide between variances of network activities and perceived learning potential shows that merely looking at the individual level is not enough. → 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 analyses revealed a divide between variances of network activities and perceived learning potential, showing that individual-level analysis alone is insufficient for understanding digital learning.

"The divide between the variances of our two dependent variables -network activities and perceived learning potential- underpin that if we want to understand how young people learn in digital environments, merely looking at the individual level is not enough."

Discussion

Page metadata
Field Value
type claim
id individual-level-insufficient-for-digital-learning
title Individual-level analysis alone is insufficient for understanding learning in digital environments.
description Individual-level analysis alone is insufficient for understanding learning in digital environments.
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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