Claims

K-means clustering of K–8 students' platform trace data yields seven distinct engagement profiles

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2027: tool and model accuracy changes quickly

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? Clustering students in Grades 1–8 on percentage-based engagement features identified seven unique learner profiles, with seven clusters for Grades 2–5 and six for other grades. → Er 2024

Evidence

Er 2024

Er, E., Silik, S., & Cansiz, S. (2024). Uncovering Engagement Profiles of Young Learners in K–8 Education through Learning Analytics. Journal of Learning Analytics, 11(1), 101–115. https://doi.org/10.18608/jla.2024.8133

q2 · i? · associational · r2

Observational log analysis of anonymized activity data from 67,686 students in 26,742 classes across 10,872 Turkish schools, reduced from 82,189 records after cleaning. K-means clustering on daily percentage features for lessons, practices, exams, and games "yielded seven clusters for Grades 2 to 5 and six for the other grade levels."

"The analysis yielded seven clusters for Grades 2 to 5 and six for the other grade levels."

Discussion

Page metadata
Field Value
type claim
id seven-engagement-profiles-k8-elearning
title K-means clustering of K–8 students' platform trace data yields seven distinct engagement profiles
description K-means clustering of K–8 students' platform trace data yields seven distinct engagement profiles
status review
evidence_strength moderate
newest_evidence 2024
recheck_by 2027
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — er-2024

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