Student Survey on AI Responsiveness and Learning Support Adoption

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