Claims

Learners inclined to seek help were less likely to pass an assessment after completing a lecture

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2017 · 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? Among the 14 significant transition patterns, help seeking was negatively associated with passing an assessment after completing a lecture, an exception to the revisiting trend. → Kizilcec 2017

Evidence

Kizilcec 2017

Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers & Education, 104, 18–33. https://doi.org/10.1016/j.compedu.2016.10.001

q3 · i? · associational · r2

Transition-level analysis of 216 Spearman correlations between six SRL strategies and 36 state transitions, with 14 significant relatively strong patterns (p < 0.01, course-clustered bootstrap). "An exception to this overarching trend: learners inclined to seek help were less likely to pass an assessment after completing a lecture."

"An exception to this overarching trend: learners inclined to seek help were less likely to pass an assessment after completing a lecture."

Discussion

Page metadata
Field Value
type claim
id help-seekers-less-likely-pass-assessment-after-lecture
title Learners inclined to seek help were less likely to pass an assessment after completing a lecture
description Learners inclined to seek help were less likely to pass an assessment after completing a lecture
status review
evidence_strength moderate
newest_evidence 2017
generated by process:wiki-ingest on 2026-10-16
trust unverified — no one has confirmed this page's content
sources 1 — kizilcec-2017

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