Survey Data on AI Literacy and Career Adaptability of 342 Chinese University Students

342 survey responses from Chinese undergraduate students support a study on AI literacy, human-AI collaboration, AI anxiety, and career adaptability. The dataset is provided by author Xiaohan Ma in SAV format and was last updated on May 27, 2026. It was used for structural equation modeling (SEM) and bootstrapping analysis.

Use Cases

• Modeling structural relationships between AI literacy and career adaptability based on survey constructs.
• Analyzing the mediating role of human-AI collaboration behaviors between technical skills and long-term outcomes.
• Evaluating the constraining effect of AI anxiety on career adaptability pathways.
• Cross-cultural studies on technology acceptance and career preparedness in higher education contexts.

Strengths

• Dataset size is precisely defined with 342 survey responses.
• Specific analytical methods (SEM and bootstrapping) are documented in the description.
• License is clearly stated as CC-BY-4.0, allowing for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to a single-country (China) student sample.

Provenance

Source

figshare

Collection Method

Survey sample of undergraduate students.

Freshness

Last updated 2026-05-27 09:56:10; freshness should be verified.

Geography

China