Claims

Teacher support directly and positively predicts learning engagement in AI-assisted English learning

Claim · All claims
Evidence · 1 study · associational r2 · 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? Teacher support exerted a significant direct positive effect on engagement (β = 0.372, p < 0.001). → 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

In the SEM of 758 Chinese university EFL students, the direct path from teacher support to engagement was supported (β = 0.372, C.R. = 6.357, p < 0.001), i.e., "Teacher support →Engagement" was among the significant paths in the hypothesized model.

"H5: Teacher support →Engagement 0.372 0.055 6.357 *** Supported"

Discussion

Learner Variables

Page metadata
Field Value
type claim
id teacher-support-direct-effect-engagement-ai
title Teacher support directly and positively predicts learning engagement in AI-assisted English learning
description Teacher support directly and positively predicts learning engagement in AI-assisted English learning
status review
evidence_strength moderate
newest_evidence 2026
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

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