Network_Insight: Swedish Teacher AI Readiness Survey and Interviews

A 2026 report from the Erasmus+ Teacher Academy for AI Literacy project presents findings from a Swedish national field study. It draws on surveys from 56 teachers, seven semi-structured interviews, and one focus group spanning primary through upper secondary levels. The report, authored by Ahmed Taiye Mohammed, assesses teachers' readiness to integrate AI into educational practice using a composite AI Readiness Index.

Use Cases

• Analyze gaps between conceptual AI awareness and applied teaching confidence based on survey and interview data.
• Compare individual teacher competence scores against institutional support scores using the composite AI Readiness Index.
• Investigate the role of personal motivation versus systemic conditions in driving AI integration based on qualitative findings.
• Examine the relationship between strong ethical intuitions and weak governance frameworks reported by educators.

Strengths

• Includes mixed-methods data from 56 survey respondents, 7 interviews, and 1 focus group.
• Provides a concrete, quantified AI Readiness Index score of 65/100 for Swedish teachers.
• Offers detailed sub-findings, such as a school-level support score of 2.61/5.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 318.1 KB, indicating a limited scope focused on a specific report.
• Data freshness should be verified, as the last update is listed as a future date (2026-04-30).

Provenance

Source

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

Collection Method

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

Freshness

Last updated 2026-04-30 08:48:53.

Geography

Sweden