Student Survey on AI Responsiveness and Learning Support Adoption
by Yanling Lan·Updated 2mo ago
116.2 KB1files
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Description
538 Chinese university students participated in a cross-sectional survey examining AI adoption for learning support. The data analyzes relationships between AI responsiveness, anthropomorphism, perceived warmth, AI attachment, AI trust, and adoption behaviors. Yanling Lan authored this study, which was last updated in April 2026.
Use Cases
Analyze the correlation between AI_responsiveness and AI_attachment scores among the 538 student responses.
Model the chain mediation effect of AI_attachment and AI_trust on the relationship between perceived_warmth and learning_engagement.
Test the S-O-R framework by examining the path from anthropomorphism to adoption_behavior via the mediating variables.
Investigate demographic differences in the strength of the relationship between AI_trust and sustained_interaction.
Strengths
Survey data from 538 university student participants provides a substantive sample.
The dataset is structured to test a specific theoretical model (S-O-R framework) with defined constructs.
Limitations
The 116.2 KB file size indicates a limited scope, likely containing only summary or model results, not raw survey responses.
Data is geographically limited to Chinese university students, limiting generalizability.
The cross-sectional design captures attitudes at a single point in time, not longitudinal changes.
Provenance
Source
figshare
Collection Method
Cross-sectional survey administered to university students.
Freshness
Last updated in April 2026.
Geography
China
The file is an XLSX spreadsheet; specific column names and raw data structure are unknown from the provided description. License is CC-BY-4.0.