Survey of 1,220 Chinese K-12 Teachers on Generative AI Continuance Intention

China K-12 teachers' responses to a questionnaire on factors influencing their sustained use of generative AI. The dataset contains 1,220 valid questionnaires analyzed via structural equation modeling and artificial neural networks. It was authored by Tanjun Ma and last updated on 2026-04 13.

Use Cases

• Predict teacher AI adoption based on variables like perceived usefulness and satisfaction.
• Analyze differences in continuance intention across teacher age groups.
• Model the influence of Technological Pedagogical Content Knowledge on technology use.
• Test hybrid SEM-ANN methodologies for uncovering nonlinear relationships in survey data.

Strengths

• Dataset is based on 1,220 valid questionnaires, providing a substantial sample size.
• Analysis employs a hybrid SEM-ANN approach to test both linear and nonlinear relationships.
• Explicitly examines key factors like perceived usefulness, satisfaction, trust, and system quality.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data reflects geographic bias inherent to its collection from China K-12 teachers.

Provenance

Source

figshare, authored by Tanjun Ma.

Collection Method

Likely contains survey data collected via questionnaires from K-12 teachers.

Time Range

null

Freshness

Last updated 2026-04-13 14:47:59; freshness should be verified.

Geography

China