Claims

Mastery-approach, performance-approach, and performance-avoidance goals positively predict engagement, while mastery-avoidance goals do not, in AI-assisted English learning

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · 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 i? Mastery-approach (β = 0.312), performance-approach (β = 0.302), and performance-avoidance (β = 0.209) goals each significantly predicted engagement, whereas the mastery-avoidance path was not supported (β = 0.072, p = 0.056). → Yongliang Wang & Yaobo Wang 2026

Evidence

Yongliang Wang & Yaobo Wang 2026

Yongliang Wang & Yaobo Wang. (2026). Explaining learning engagement in AI-assisted learning through teacher support and achievement goals: insights from goal-setting theory. Humanities and Social Sciences Communications 13:1215. https://doi.org/10.1057/s41599-026-07636-8

q2 · i? · associational · r2

SEM results (Table 3) show supported paths from mastery-approach (β = 0.312), performance-approach (β = 0.302), and performance-avoidance (β = 0.209) goals to engagement, all p < 0.001; the mastery-avoidance path (β = 0.072, p = 0.056) was unsupported, consistent with the article's statement that these three goal types "significantly predict learners' engagement".

"Mastery-approach, performance-approach, and performance-avoidance goals were all found to significantly predict learners' engagement in AI-assisted English learning."

Studies bearing on this claim

Do learners' achievement goal orientations (mastery or performance, approach or avoidance) predict their engagement and academic outcomes? This table gathers the studies behind this claim and the 3 narrower claims that bear on it: 3 distinct studies (3 associational), q2, 0 of 3 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Study Design Effect as recorded Bears on this claim through
Yongliang Wang & Yaobo Wang 2026 q2 · associational · r2 i? this claim; Only mastery-approach and performance-approach goals mediate the relationship between teac (supports)
Menggian Wu 2026 q2 · associational · r1 i? Only 11.1% of interactions pair mastery-oriented aims with advanced strategies such as epi (supports)
Snipes 2016 q2 · associational · r2 i? 8th grade growth mindset and academic behavior self-reports positively predicted 9th grade (qualifies)

Discussion

Learner Variables

Page metadata
Field Value
type claim
id goal-orientations-predict-engagement-ai-efl
title Mastery-approach, performance-approach, and performance-avoidance goals positively predict engagement, while mastery-avoidance goals do not, in AI-assisted English learning
description Mastery-approach, performance-approach, and performance-avoidance goals positively predict engagement, while mastery-avoidance goals do not, in AI-assisted English learning
status review
evidence_strength mixed
newest_evidence 2026
source_checked 2026-10-20
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — yongliang-wang-yaobo-wang-2026

Frontmatter is the page's machine-readable record — see the Schema & Guide.