Survey Data on AI Literacy and Motivation for 600 Pre-Service Teachers

600 pre-service teachers completed questionnaires assessing AI literacy, basic psychological needs, and learning motivation. The dataset, authored by You Wang and last updated in May 2026, contains results from an explanatory sequential mixed-methods study, including subsequent interviews with 44 participants.

Use Cases

• Analyzing the relationship between AI literacy dimensions and basic psychological needs based on the four AI literacy dimensions described.
• Testing structural equation models for mediating effects based on the described relationships between AI literacy, psychological needs, and motivation.
• Designing AI literacy curricula for teacher education based on the differentiated effects of AI awareness, application, evaluation, and ethics.

Strengths

• Includes quantitative data from 600 participants and qualitative data from 44 interviews.
• Measures four specific dimensions of AI literacy (awareness, application, evaluation, ethics) and three basic psychological needs (autonomy, competence, relatedness).
• Released under a CC-BY-4.0 license, permitting broad reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 25.9 KB file size suggests a limited scope, likely containing summary statistics or a data dictionary rather than raw survey responses.

Provenance

Source

figshare

Collection Method

Questionnaires and semi-structured interviews from an explanatory sequential mixed-methods study.

Time Range

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Freshness

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

Geography

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