Claims

Engagement profiles predict who benefits most from accuracy-based adaptive support

Claim · All claims
Evidence · 1 study · theoretical r3 · 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

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.