Claims

In the tested structural model, contextual support positively predicts trust calibration and collaborative regulation, trust calibration positively predicts collaborative regulation and perceived transfer gains, and collaborative regulation shows the strongest association with perceived transfer gains

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? Contextual support positively predicted trust calibration and collaborative regulation in the structural model. → Fan Bu and Wei Li 2026 q2 i? Trust calibration positively predicted collaborative regulation and perceived transfer gains in the structural model. → Fan Bu and Wei Li 2026 q2 i? Collaborative regulation showed the strongest association with perceived transfer gains among the tested predictors. → Fan Bu and Wei Li 2026

Evidence

Fan Bu and Wei Li 2026

Fan Bu and Wei Li (2026). Trust calibration and perceived developmental gains in university students' collaboration with generative AI: an exploratory sequential mixed methods study. Front. Psychol. 17:1861072. https://doi.org/10.3389/fpsyg.2026.1861072

q2 · i? · associational · r2

Cross-sectional SEM survey of university students using a 22-item instrument developed from the qualitative phase; the reported structural model supported the hypothesized positive paths, with collaborative regulation showing "the strongestassociationwithperceivedtransfer gains". Standardized coefficients were not available in the provided text.

"The structural model showed that contextual support positivelypredictedtrustcalibrationandcollaborativeregulation;trustcalibration positively predicted collaborative regulation and perceived transfer gains"

Discussion

Learner Variables

Page metadata
Field Value
type claim
id sem-structural-paths-genai-collaboration-model
title In the tested structural model, contextual support positively predicts trust calibration and collaborative regulation, trust calibration positively predicts collaborative regulation and perceived transfer gains, and collaborative regulation shows the strongest association with perceived transfer gains
description In the tested structural model, contextual support positively predicts trust calibration and collaborative regulation, trust calibration positively predicts collaborative regulation and perceived transfer gains, and c...
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — fan-bu-and-wei-li-2026

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