Swedish Teacher AI Readiness Survey with 56 Respondents and Interviews

Person_Correlation presents findings from the Swedish national field research of the Erasmus+ Teacher Academy for AI Literacy project. The dataset is based on surveys from 56 teachers, seven semi-structured interviews, and one focus group spanning primary through upper secondary levels. Authored by Ahmed Taiye Mohammed, the report was last updated on April 30, 2026.

Use Cases

• Benchmarking national AI readiness scores based on the composite AI Readiness Index described in the report
• Analyzing gaps between individual competence and institutional support using the reported index sub-scores
• Investigating the relationship between conceptual AI awareness and applied confidence among educators
• Studying the drivers of practical AI integration, such as personal motivation versus systemic conditions
• Evaluating ethical intuitions and governance framework weaknesses in school settings

Strengths

• Includes a composite AI Readiness Index with an overall national score of 65 out of 100
• Draws on multiple data sources: 56 teacher surveys, 7 interviews, and 1 focus group
• Provides specific sub-scores, such as a school-level support score of 2.61 out of 5
• Covers a range of educational levels from primary through upper secondary

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is very small at 248.7 KB, indicating limited raw data scope

Provenance

Source

Erasmus+ Teacher Academy for AI Literacy project (No. 101249404)

Collection Method

Survey, semi-structured interviews, and focus group

Time Range

null

Freshness

Last updated 2026-04-30 08:29:26; freshness should be verified

Geography

Sweden