K-12 students are at risk of harm when local education agencies use digital learning analytics without carefully reflecting on the risks of resulting decisions¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q1
Currency · newest study 2021 · 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? K-12 students face potential harm from decisions made as a result of using digital learning analytics unless agencies stop and carefully reflect on those risks. → Beerwinkle 2021
Evidence¶
Beerwinkle 2021¶
Beerwinkle, A. L. (2021). The use of learning analytics and the potential risk of harm for K-12 students participating in digital learning environments. Education Tech Research Dev, 69, 327–330. https://doi.org/10.1007/s11423-020-09854-6
q1 · i? · theoretical · r2
Theoretical argument in a K-12-perspective response article; the author offers this as a cautionary assertion with no empirical study, so no effect size is available.
"K-12 students are at risk of harm if local education agencies do not stop and carefully reflect on the potential risks to students resulting from decisions made as a result of using digital learning analytics."
Discussion¶
Related Claims¶
- The Covid-19 pandemic's rapid shift of US K-12 schools to digital learning produced a wealth of digital learning analytics available for improving student learning outcomes — related
- Technology's role in education is dual: it can facilitate human flourishing when designed and implemented with attention to context, but can impede learning outcomes and produce harms when implemented without caution — a broader claim this one bears on
- In an urban district facing shrinking enrollment, student achievement was incorporated as a factor in deciding which schools to close, and the study examined whether student outcomes depended on which schools were closed — related
- Four scholarly responses apply Willis et al.'s typology to K-12 learning analytics from educational, practice, ethical, and policy perspectives — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
k12-students-risk-harm-digital-learning-analytics-decisions |
title |
K-12 students are at risk of harm when local education agencies use digital learning analytics without carefully reflecting on the risks of resulting decisions |
description |
K-12 students are at risk of harm when local education agencies use digital learning analytics without carefully reflecting on the risks of resulting decisions |
status |
review |
evidence_strength |
weak |
newest_evidence |
2021 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — beerwinkle-2021 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.