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Data · dataset · 2026

The Impact of AI Usage Behaviour on Collaborative Learning Outcomes: The Chain-Mediating Effects of Shared Regulation and Collaborative Knowledge Construction

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This dataset contains survey responses from 504 university students in China, collected to examine how AI usage behavior influences collaborative learning outcomes.

Description

The study integrates the Unified Theory of Acceptance and Use of Technology (UTAUT) with Socially Shared Regulation of Learning (SSRL) theory to investigate the chain-mediating roles of shared regulation and collaborative knowledge construction. The dataset includes measurements of AI usage behavior, shared regulation, collaborative knowledge construction, collaborative learning outcomes, and demographic information.

Variables were measured using validated scales on a 5-point Likert scale. The data were analyzed using structural equation modeling (SEM) and are suitable for replication studies, secondary analyses, and further investigation of AI-supported collaborative learning mechanisms.

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Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.4395712 d agoJSON v1
FieldAssertionExtractorEvidence
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