Claims

Positive adaptation showed the highest temporal stability while maladaptive adaptation was the least stable profile across the semester

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

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? Learners in the positive adaptation profile were most likely to remain in it (84.6% T1→T2, 83.6% T2→T3), whereas maladaptive adaptation stability was 51.8% and 59.2%. → Wu Y 2026

Evidence

Wu Y 2026

Wu Y (2026) Profiles and transitions of psychological adaptation in AI-assisted Japanese language learning. Front. Psychol. 17:1837484. https://doi.org/10.3389/fpsyg.2026.1837484

q3 · i? · associational · r2

Latent profile transition analysis of the three-wave panel; transition probabilities (Table 7) show positive adaptation stability of 84.6% and 83.6%, moderate adaptation 72.9% and 74.0%, and maladaptive adaptation 51.8% and 59.2% across the two intervals.

"Learners in the positive adaptation profileshowedthehighesttemporalstability,with84.6%remaining in the same profile from Time 1 to Time 2 and 83.6% remaining stablefromTime2toTime3."

Discussion

Page metadata
Field Value
type claim
id positive-adaptation-highest-stability-maladaptive-least
title Positive adaptation showed the highest temporal stability while maladaptive adaptation was the least stable profile across the semester
description Positive adaptation showed the highest temporal stability while maladaptive adaptation was the least stable profile across the semester
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2031
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — wu-y-2026

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