Mean_Score: Swedish Teacher AI Readiness Survey and Interview Findings

56 teachers and seven interviews inform a Swedish national study on AI integration readiness. The report, authored by Ahmed Taiye Mohammed and updated in April 2026, finds an overall AI Readiness Index score of 65/100, with individual competence outpacing institutional support. Key findings highlight gaps between conceptual awareness and applied confidence, and critically low school-level support scores of 2.61/5.

Use Cases

• Benchmarking teacher AI readiness levels based on the composite AI Readiness Index
• Analyzing gaps between personal competence and institutional support scores
• Identifying priorities for ethics training and differentiated professional development by school level

Strengths

• Report includes quantitative survey data from 56 teachers and qualitative insights from seven interviews and one focus group.
• Provides a specific composite AI Readiness Index score (65/100) and sub-scores like school-level support (2.61/5).
• Findings are structured around clear national priorities for investment and training.

Limitations

• The primary data file format is PNG, suggesting the dataset may be a report image rather than raw, machine-readable data.
• Row count and column-level documentation are unknown, limiting suitability assessment for statistical analysis.
• Data scale is limited to 458.1 KB, indicating a very small scope focused on a specific national study.

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 08:31:18

Geography

Sweden