Generative AI Adoption Among K-12 Computer Science Teachers in China

China-based survey data on the adoption of generative artificial intelligence for instruction among K-12 computer science teachers. The dataset was authored by Kang, Chunchen and hosted on Harvard Dataverse, with a last update recorded on 2026-05-26. It supports a mixed-method research study on technology integration in education.

Use Cases

• Analyze factors influencing generative AI adoption based on teacher survey responses mentioned in the description
• Model teacher attitudes and barriers to technology integration based on the mixed-method research design
• Compare generative AI usage patterns across different K-12 school contexts in China

Strengths

• Data is associated with a formal mixed-method research study, suggesting a structured collection process.
• The dataset has a specific geographic and demographic focus on K-12 computer science teachers in China.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Harvard Dataverse

Collection Method

Likely contains survey and interview data from a mixed-method research study.

Freshness

Last updated 2026-05-26 07:38:17; freshness should be verified.

Geography

China