Supplementary file 1_AI literacy and attitudes among maternal and child health nurses: a m

Qin Zeng's dataset comprises survey responses from 1,031 maternal and child health nurses in China, collected in 2026. It includes data from 498 clinical preceptors (experts) and 533 nurse interns (novices) across 32 institutions in 26 provinces. The data supports a psychological network analysis comparing AI literacy and attitudes between expertise levels.

Use Cases

• Compare psychological network structures between expert and novice nurses based on survey scale data.
• Identify central cognitive nodes like 'AI Fear' within attitude networks based on the study's findings.
• Analyze the relationship between ethical concerns and application pathways in AI perception based on the described network topology.

Strengths

• Includes responses from 1,031 participants, providing a substantial sample size for analysis.
• Covers a multicenter scope with data from 32 institutions across 26 provinces in China.
• Clearly defines two distinct participant groups: 498 clinical preceptors and 533 nurse interns.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The dataset is small in file size (438.9 KB), indicating limited scope or primarily textual content.

Provenance

Source

Qin Zeng via figshare.

Collection Method

A large-scale, multicenter cross-sectional survey using the AI Literacy Scale and the General Attitudes toward AI Scale.

Freshness

Last updated 2026-06-02 05:40:26; freshness should be verified.

Geography

32 institutions across 26 provinces in China.