Engagement profiles predict who benefits most from accuracy-based adaptive support¶
Claim · All claims
Evidence · 1 study · theoreticalr3·q2
Currency · newest study 2026 · 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? In Oppmann et al.'s digital fraction-equivalence environment, students clustered by cognitive, behavioral, motivational, and emotional engagement showed that engagement profiles predicted who benefited most from adaptive support. → Anselm Strohmaier 2026
Evidence¶
Anselm Strohmaier 2026¶
Anselm Strohmaier, Fien Depaepe, Michael Nickl, Andreas Obersteiner. (2026). A domain-specific perspective on adaptivity. Learning and Instruction 104. https://doi.org/10.1016/j.learninstruc.2026.102364
q2 · i? · theoretical · r3
The editorial reports, citing Oppmann et al. (2025), a study using logfile data from a digital learning environment on fraction-equivalence tasks; students were clustered on engagement during the task, and "These engagement profiles predicted who benefited most from the adaptive support".
"These engagement profiles predicted who benefited most from the adaptive support, demonstrating that even when adaptivity is based on performance, domain-specific engagement characteristics shape the effectiveness of adaptive support."
Discussion¶
Related Claims¶
- Misconception-based adaptive feedback reduced mathematics anxiety and supported motivation without cognitive outcome differences — related
- Adult learners' motivational profiles differ significantly in self-efficacy, learning strategies and behavioral engagement: the good-quality motivation group scores higher on all three, the high-quantity group on strategies and engagement only — related
- Latent profile analysis of 2015 PISA data identifies four collaborative problem-solver profiles among Chinese 15-year-old students — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
engagement-profiles-predict-adaptive-benefit |
title |
Engagement profiles predict who benefits most from accuracy-based adaptive support |
description |
Engagement profiles predict who benefits most from accuracy-based adaptive support |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-22 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — anselm-strohmaier-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.