Claims

Two of seven SRL rubric indicators showed significant discrepancy between student self-assessments and system-generated scores

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2025 · 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.

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q2 i? Indicators 6 and 7 had a significant discrepancy between self-assessment and system-generated scores (p < 0.05), indicating divergence between student perception and learning analytics observations. → de Barba 2025

Evidence

de Barba 2025

de Barba, P. G., Oliveira, E. A., & English, N. (2025). Development and validation of a learning analytics rubric for self-regulated learning. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10521-x

q2 · i? · design · r2

In Phase 3 validation, chi-square goodness-of-fit tests revealed significant discrepancies for the indicators measuring completion of extra activities and early semester engagement with the LMS. Students' self-assessments indicated higher levels of SRL skill use than the learning analytics detected.

"Conversely, indicators 6 and 7 had a significant discrepancy between self-assessment and system-generated scores (p < 0.05), indicating divergence between student perception and learning analytics observations."

Discussion

Page metadata
Field Value
type claim
id two-indicators-diverge-self-assessment-system-scores
title Two of seven SRL rubric indicators showed significant discrepancy between student self-assessments and system-generated scores
description Two of seven SRL rubric indicators showed significant discrepancy between student self-assessments and system-generated scores
status review
evidence_strength moderate
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — de-barba-2025

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