Table 1_Perceived knowledge, attitude, and practice of artificial intelligence among medic

894 undergraduate medical students from two universities in Guangxi, China, participated in a cross-sectional survey from October to November 2024. The study, authored by Lulin Chen and shared under a CC-BY-4.0 license, measured perceived AI knowledge, attitudes, and practices using a 5-point Likert scale. Results indicated moderate perceived knowledge and positive attitudes, but low levels of AI practice, with significant barriers identified.

Use Cases

• Analyzing factors associated with AI knowledge scores based on demographic variables like gender and academic year.
• Modeling the relationship between attitudes towards AI and variables like prior museum visits or AI coursework.
• Identifying structural barriers to AI practice in medical education based on survey responses about opportunities and resources.

Strengths

• Survey includes responses from 894 participants, providing a substantial sample size.
• Data collection period is clearly defined as October to November 2024.
• Mean scores for knowledge, attitude, and practice domains are provided with standard deviations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data reflects a specific geographic and temporal context, which may limit generalizability.

Provenance

Source

Lulin Chen via figshare.

Collection Method

Cross-sectional survey conducted at two universities.

Time Range

October to November 2024.

Freshness

Last updated 2026-06-02 05:39:16; freshness should be verified.

Geography

Guangxi, China.