Swedish Teacher AI Readiness Survey with 56 Respondents and Composite Index

A 2026 report from the Erasmus+ Teacher Academy for AI Literacy project assesses Swedish teachers' readiness to integrate AI into education. It is based on surveys from 56 teachers, seven interviews, and one focus group across primary to upper secondary levels. The author is Ahmed Taiye Mohammed, and the data is licensed under CC-BY-4.0.

Use Cases

• Benchmarking teacher AI readiness scores based on the composite AI Readiness Index mentioned in the description
• Analyzing the gap between conceptual awareness and applied confidence in AI among educators
• Comparing individual competence scores against institutional support levels for AI integration
• Investigating the relationship between personal motivation and systemic conditions for AI use in classrooms
• Evaluating school-level support infrastructure based on the reported low score of 2.61 out of 5

Strengths

• Includes a composite AI Readiness Index with an overall score of 65 out of 100 for Swedish teachers
• Data is derived from multiple sources: 56 teacher surveys, seven semi-structured interviews, and one focus group
• Provides specific, quantified findings such as a school-level support score of 2.61 out of 5

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment
• The dataset is very small at 168.5 KB, indicating limited scope and likely summary-level data
• The primary file format is PNG, suggesting the data may be presented as images or charts rather than raw, machine-readable tables

Provenance

Source

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

Collection Method

Surveys, semi-structured interviews, and a focus group with teachers

Time Range

Data collection timeframe is not specified, but the report was published in 2026

Freshness

Last updated 2026-04-30 08:37:31

Geography

Sweden