Survey Data on Chinese University Students' Acceptance of DeepSeek AI for Academic Use

Survey data from 480 Chinese university students analyzed using confirmatory factor analysis and structural equation modeling. The data investigates acceptance and actual use of the DeepSeek large language model based on the UTAUT2 framework. The dataset was authored by Si Xu and last updated on 2026-05 15.

Use Cases

• Modeling technology acceptance factors based on the UTAUT2 framework described in the study.
• Analyzing the role of habit in sustaining engagement with educational AI tools.
• Investigating the relationship between behavioral intention and actual usage of generative AI in academic settings.

Strengths

• Dataset is based on survey data from 480 students, providing a specific sample size.
• Analysis includes confirmatory factor analysis and structural equation modeling, suggesting structured validation.
• The study applies a recognized theoretical framework (UTAUT2) to a novel context (LLMs).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 15.2 KB file size indicates a very limited scope, likely containing only summary or supplementary document text.

Provenance

Source

figshare

Collection Method

Survey data collection and statistical analysis.

Time Range

null

Freshness

Last updated 2026-05-15 11:45:36; freshness should be verified.

Geography

China (university students)