Students who interact more deterministically within iSTART-ME generate higher quality self-explanations during training¶
Claim · All claims
Evidence · 1 study · associationalr1·q2·i3large
Currency · newest study 2016 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · 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 i3 Students' Hurst exponents were significantly related to their average self-explanation scores during training (r = .51, p < .001). → Erica L. Snow 2016
Evidence¶
Erica L. Snow 2016¶
Erica L. Snow, Aaron D. Likens, Laura K. Allen, & Danielle S. McNamara. (2016). Taking Control: Stealth Assessment of Deterministic Behaviors Within a Game-Based System. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-015-0085-5
q2 · i3 · associational · r1
Pearson correlation analysis of 40 high school students' Hurst exponents against averaged training self-explanation scores across 8 sessions. The article reports "students ’ Hurst exponents were significantly related to their average self-explanation scores during training" with r = .51, p < .001.
"students ’ Hurst exponents were significantly related to their average self-explanation scores during training ( r =. 5 1 ,p < .001)"
Discussion¶
Related Claims¶
- Hurst exponents predict daily training self-explanation quality over and above pretest self-explanation ability — related
- Deterministic interaction patterns relate to delayed retention self-explanation quality but not posttest performance — related
- Hurst exponents are unrelated to the frequency of interacting with any specific game-based feature — related
- Surrogate analysis validates that observed Hurst exponents reflect genuine persistence rather than short-series artifacts — related
- Hurst exponents do not significantly predict retention self-explanation quality over and above pretest scores — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
deterministic-interaction-patterns-higher-training-self-explanation-quality |
title |
Students who interact more deterministically within iSTART-ME generate higher quality self-explanations during training |
description |
Students who interact more deterministically within iSTART-ME generate higher quality self-explanations during training |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2016 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-16 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — erica-l-snow-2016 |
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