600 pre-service teachers completed questionnaires assessing AI literacy, basic psychological needs, and learning motivation. The dataset, authored by You Wang and published on figshare in 2026, supports an explanatory sequential mixed-methods study. Structural equation modeling results show differentiated effects of AI literacy dimensions on psychological needs, mediated by competence, autonomy, and relatedness.
Use Cases
- Analyzing the relationship between AI literacy dimensions and learning motivation based on questionnaire scores.
- Testing mediation models of basic psychological needs based on structural equation modeling results.
- Investigating the 'identity-context dual boundary' framework proposed in the discussion.
- Informing AI literacy curriculum design for teacher education programs based on the study's practical guidance.
Strengths
- Includes data from 600 pre-service teacher respondents.
- Employs a mixed-methods design with subsequent qualitative interviews from 44 participants.
- Published under a permissive CC-BY-4.0 license for reuse.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The 23.0 KB file size suggests a limited scope of variables.
Provenance
- Source
- figshare, authored by You Wang.
- Collection Method
- Questionnaires and semi-structured interviews from an explanatory sequential mixed-methods study.
- Time Range
- null
- Freshness
- Last updated 2026-05-08 05:48:16; freshness should be verified.
- Geography
- null