Claims

LA-based feedback shows potential to save educators time compared with traditional one-by-one feedback provision

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2022 · 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.

q2 i? The review reports, citing Iraj et al. (2020) and Shibani et al. (2020), that LA-based feedback made it easier for educators to monitor learning progress and provide personalized, real-time feedback, saving time. → Seyyed Kazem Banihashem 2022

Evidence

Seyyed Kazem Banihashem 2022

Seyyed Kazem Banihashem, Omid Noroozi, Stan van Ginkel, Leah P. Macfadyen, Harm J.A. Biemans. (2022). A systematic review of the role of learning analytics in enhancing feedback practices in higher education. Educational Research Review. https://doi.org/10.1016/j.edurev.2022.100489

q2 · i? · review · r2

The review reports, citing Iraj et al. (2020) and Shibani et al. (2020), that "LA-based feedback has shown the potential to save time for educators", contrasting with the time and effort of traditional one-by-one feedback.

"LA-based feedback has shown the potential to save time for educators (Iraj et al., 2020; Shibani et al., 2020)."

Discussion

Page metadata
Field Value
type claim
id la-feedback-saves-educator-time
title LA-based feedback shows potential to save educators time compared with traditional one-by-one feedback provision
description LA-based feedback shows potential to save educators time compared with traditional one-by-one feedback provision
status review
evidence_strength weak
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-21
trust unverified — no one has confirmed this page's content
sources 1 — seyyed-kazem-banihashem-2022

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