Survey of AI Literacy and Motivation for 600 Pre-Service Teachers

600 pre-service teachers completed questionnaires assessing four dimensions of AI literacy (awareness, application, evaluation, ethics), basic psychological needs (autonomy, competence, relatedness), and learning motivation. The dataset, authored by You Wang and published on figshare under CC-BY-4.0, was last updated on 2026-05-08. Structural equation modeling and qualitative interviews with 44 participants were used to analyze the relationships.

Use Cases

• Analyzing the relationship between AI literacy dimensions and psychological needs based on the four assessed dimensions (awareness, application, evaluation, ethics).
• Testing mediation models of learning motivation based on the three measured basic psychological needs (autonomy, competence, relatedness).
• Investigating differentiated effects of AI awareness and application on autonomy and competence as suggested by the reported beta coefficients.

Strengths

• Includes responses from a sample of 600 pre-service teachers.
• Employs a mixed-methods design with 44 follow-up qualitative interviews.
• Released under the permissive CC-BY-4.0 license.

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 bias inherent to the specific sample of pre-service teachers studied.

Provenance

Source

figshare

Collection Method

Questionnaire survey and semi-structured interviews as part of an explanatory sequential mixed-methods study.

Time Range

null

Freshness

Last updated 2026-05-08 05:48:15; freshness should be verified.

Geography

null