Swedish Teacher AI Readiness Survey and Interview Report, 2026

Ahmed Taiye Mohammed's 2026 report presents findings from the Swedish national field research for the Erasmus+ Teacher Academy for AI Literacy project. The study assesses teacher readiness to integrate AI into education using a composite index derived from surveys of 56 teachers, seven interviews, and one focus group. The report is a 45.8 KB PNG file summarizing key findings and national priorities.

Use Cases

• Benchmarking teacher AI readiness scores based on the reported composite index of 65/100.
• Analyzing the gap between conceptual awareness and applied confidence in AI among educators as described.
• Investigating the disparity between individual competence and institutional support scores (2.61/5) highlighted in the findings.
• Informing professional development program design based on the reported need for differentiated training by school level and career stage.

Strengths

• Includes quantitative scores from a composite AI Readiness Index applied to 56 teachers.
• Combines multiple data sources: surveys, seven semi-structured interviews, and one focus group.
• Provides specific, actionable conclusions, including three stated national priorities for structural investment.

Limitations

• The dataset is a 45.8 KB PNG report image; the underlying raw survey or interview data is not provided.
• Row count and column-level documentation for the original research data are unknown.
• The scale is limited to the Swedish educational context, which may limit generalizability.

Provenance

Source

Ahmed Taiye Mohammed, part of the Erasmus+ Teacher Academy for AI Literacy project (No. 101249404).

Collection Method

Field research involving teacher surveys, semi-structured interviews, and a focus group.

Time Range

Study likely conducted prior to the 2026 report publication; exact collection period is unspecified.

Freshness

Last updated 2026-04-30 08:32:12.

Geography

Sweden, covering primary through upper secondary school levels.