22-item self-report instrument measuring contextual support, trust calibration, collaborative regulation, and perceived transfer gains

Product or Programme · All products and programmes
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A five-point Likert-scale instrument developed by Fan Bu et al. to measure contextual support, trust calibration, collaborative regulation, and perceived transfer gains in university students' GenAI-supported learning.

Components

Claims

• Exploratory factor analysis in the pilot stage supported a four-factor solution, with three items removed (a weak loading, a cross-loading, and a low item–total correlation with duplicated content) [+M]

Related Products and Programmes

• AI adaptive learning environment perception scale (15 items, three dimensions)
• PERMA-based AI well-being scale for faculty in AI-integrated teaching
• InSitu (InSituations) instrument

Key Sources

• 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

Page metadata

Field	Value
type	product
id	22-item-self-report-instrument-measuring-contextual-support-trust-calibration-collaborativ
title	22-item self-report instrument measuring contextual support, trust calibration, collaborative regulation, and perceived transfer gains
description	A five-point Likert-scale instrument developed by Fan Bu et al.
status	review
product_kind	assessment
generated	by process:settle-candidates on 2026-10-12
trust	unverified — no one has confirmed this page's content

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