Claims

Relations between SRL phase frequency/diversity and illness script activation were mixed across cases: more frequent and diverse transitions were sometimes beneficial (Cases 2, 4) and sometimes detrimental (Cases 1, 3, 5)

Claim · All claims
Evidence · 1 study (2 entries) · associational r1–r2 · q2
Currency · newest study 2025 · 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? Ordinal logistic regressions showed significant relations between illness script activation and SRL phase frequencies, transitions, complexity and entropy within each case, but the direction of effects varied by case. → Cloude 2025 q2 i? Across all cases, there were no significant relations between illness script activation and expertise (ps > 0.05), which did not support the hypothesis that experts perform better. → Cloude 2025 (2)

Evidence

Cloude 2025

Cloude, E. B., Chapman, R., Azevedo, R., Castiglioni, A., LaRochelle, J., Hernandez, C., & Torre, D. (2025). Novice and expert self-regulated learning phase transitions in medical diagnosis: Implications for adaptive and intelligent systems. Instructional Science. https://doi.org/10.1007/s11251-025-09729-4

q2 · i? · associational · r2

Ordinal logistic regression models predicting rubric-scored illness script activation per case (five separate models; predictors were phase frequencies, transitions, complexity, entropy). The authors summarize that transitions were sometimes "beneficial (Case 2, 4)" and other times "detrimental" (Cases 1, 3, 5).

"Interestingly, there were mixed results for the frequency and diversity of SRL phase transitions, where sometimes it was beneficial (Case 2, 4), but other times, detrimental to illness script activation to initiate more frequent and diverse SRL phases (Case 1, 3, 5)."

Cloude 2025 (2)

Cloude, E. B., Chapman, R., Azevedo, R., Castiglioni, A., LaRochelle, J., Hernandez, C., & Torre, D. (2025). Novice and expert self-regulated learning phase transitions in medical diagnosis: Implications for adaptive and intelligent systems. Instructional Science. https://doi.org/10.1007/s11251-025-09729-4

q2 · i? · associational · r1

Expertise predictor in the same per-case regression models showed no significant relations with illness script activation (ps > 0.05); a non-significant result with no printed effect size, so equivalence was not tested.

"Across all cases, there were no significant relations between illness script activation and expertise (ps > 0.05). This result did not support H3, where we expected experts to perform better than novices."

Discussion

Page metadata
Field Value
type claim
id srl-transitions-mixed-effects-illness-script-activation
title Relations between SRL phase frequency/diversity and illness script activation were mixed across cases: more frequent and diverse transitions were sometimes beneficial (Cases 2, 4) and sometimes detrimental (Cases 1, 3, 5)
description Relations between SRL phase frequency/diversity and illness script activation were mixed across cases: more frequent and diverse transitions were sometimes beneficial (Cases 2, 4) and sometimes detrimental (Cases 1, 3...
status review
evidence_strength mixed
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 2 — cloude-2025, cloude-2025-2

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