Semantic_Network: Swedish Teacher AI Readiness Survey Results

Semantic_Network presents findings from the Swedish national field research for the Erasmus+ Teacher Academy for AI Literacy project. The report is based on surveys from 56 teachers, seven interviews, and one focus group across primary to upper secondary levels, assessing readiness to integrate AI into education. Authored by Ahmed Taiye Mohammed and last updated on 2026-04-30, the dataset is a 192.7 KB PNG file.

Use Cases

• Analyze teacher AI readiness scores based on the composite AI Readiness Index mentioned in the description
• Compare individual competence versus institutional support metrics based on the reported gap
• Study the relationship between conceptual AI awareness and applied confidence among educators
• Examine the drivers of practical AI integration based on the reported influence of personal motivation over systemic conditions

Strengths

• Includes data from 56 teacher surveys, seven semi-structured interviews, and one focus group, providing a mixed-methods foundation
• Reports a specific composite AI Readiness Index score of 65/100 for Swedish teachers
• Provides a specific school-level support score of 2.61 out of 5

Limitations

• The dataset is a single 192.7 KB PNG image, which is a very small and likely summarized format, not the underlying raw data
• Row count and column-level documentation are unknown, limiting detailed analysis
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

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

Collection Method

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

Freshness

Last updated 2026-04-30 08:34:38; freshness should be verified

Geography

Sweden