Swedish Teacher AI Readiness Survey with 56 Respondents and Composite Index

Swedish national field research from the Erasmus+ Teacher Academy for AI Literacy project. The dataset likely contains survey and interview data from 56 teachers, seven interviews, and one focus group, assessing AI integration readiness across primary to upper secondary levels. It was authored by Ahmed Taiye Mohammed and last updated in April 2026.

Use Cases

• Analyzing the gap between conceptual AI awareness and applied confidence based on the composite AI Readiness Index.
• Comparing individual competence scores against institutional support scores to identify systemic weaknesses.
• Investigating the relationship between personal motivation and practical AI integration mentioned in the findings.
• Assessing the strength of ethical intuitions relative to governance framework support as described in the report.

Strengths

• Includes a composite AI Readiness Index with an overall score of 65/100 and a specific school-level support score of 2.61/5.
• Data is derived from multiple sources: 56 teacher surveys, seven semi-structured interviews, and one focus group.
• Covers a range of educational levels from primary through upper secondary school.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small in scale at 669.2 KB, indicating limited scope.

Provenance

Source

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

Collection Method

Surveys, semi-structured interviews, and a focus group.

Time Range

null

Freshness

Last updated 2026-04-30 08:45:02; freshness should be verified.

Geography

Sweden