AI-Readiness Index: Swedish Teacher Survey and Interview Findings

56 teachers and seven interviews from primary through upper secondary levels in Sweden form the basis of this report on AI integration readiness. The composite AI Readiness Index shows Swedish teachers score 65/100 overall, with individual competence outpacing institutional support. Authored by Ahmed Taiye Mohammed and updated in April 2026, the report is shared under a CC-BY-4.0 license.

Use Cases

• Benchmarking national teacher AI readiness based on the composite index score of 65/100.
• Analyzing gaps between conceptual awareness and applied confidence in AI among educators.
• Investigating the relationship between personal motivation and systemic conditions for AI integration.
• Studying ethical intuitions versus governance framework support in educational AI adoption.

Strengths

• Report is based on a mixed-methods study combining surveys from 56 teachers, seven interviews, and a focus group.
• Provides a specific composite AI Readiness Index score (65/100) and sub-scores like school-level support (2.61/5).
• Clear temporal and geographic scope: Swedish teachers, with a report date of April 2026.

Limitations

• The primary data file format is PNG, suggesting the dataset may be a report image rather than raw, analyzable data.
• Row count and column-level documentation are unknown, limiting suitability assessment for quantitative analysis.
• The 34.6 KB size indicates a very limited scope, likely containing summary findings rather than the underlying survey data.

Provenance

Source

Erasmus+ Teacher Academy for AI Literacy project (No. 101249404), Swedish national field research component.

Collection Method

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

Time Range

Study period not specified; report dated April 2026.

Freshness

Last updated 2026-04-30 08:44:03

Geography

Sweden