StudentSES: Swedish Teacher AI Readiness Survey and Interview Findings

A report from the Erasmus+ Teacher Academy for AI Literacy project presents findings on Swedish teachers' readiness to integrate AI into education. The study draws on surveys from 56 teachers, seven interviews, and one focus group across primary through upper secondary levels. Authored by Ahmed Taiye Mohammed and last updated in April 2026, the report calculates an AI Readiness Index and identifies gaps between competence and institutional support.

Use Cases

• Benchmarking teacher AI readiness scores based on the composite AI Readiness Index mentioned in the description
• Analyzing gaps between individual competence and institutional support based on reported scores
• Identifying priorities for professional development based on the reported findings of differentiated needs by school level and career stage
• Studying ethical intuitions versus governance frameworks in educational AI based on the described key findings

Strengths

• Report includes a composite AI Readiness Index with a specific overall score of 65/100.
• Findings are derived from multiple data sources: 56 teacher surveys, seven interviews, and one focus group.
• Analysis differentiates between school levels (primary through upper secondary) and career stages.

Limitations

• The dataset is a 52.7 KB PNG image file, which suggests it is a static report or graphic, not a structured data table.
• Row count and column-level documentation are absent; data semantics must be inferred from the image.
• Description metadata is limited; actual data quality requires manual inspection after download.

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

null

Freshness

Last updated 2026-04-30 08:46:12; freshness should be verified.

Geography

Sweden