Topic_Model: Swedish Teacher AI Readiness Survey and Interview Findings

Swedish national field research from the Erasmus+ Teacher Academy for AI Literacy project. The dataset contains findings from a survey of 56 teachers, seven interviews, and one focus group, assessing AI integration readiness across primary to upper secondary levels. Authored by Ahmed Taiye Mohammed and last updated in April 2026, the report presents a composite AI Readiness Index and key findings on competence, support, and ethics.

Use Cases

• Benchmarking teacher AI readiness scores based on the composite AI Readiness Index mentioned in the description
• Analyzing gaps between conceptual awareness and applied confidence in AI among educators
• Comparing individual competence levels against institutional support scores for Swedish teachers
• Investigating the relationship between personal motivation and systemic conditions for AI integration in schools

Strengths

• Includes mixed-methods data from 56 survey respondents, seven interviews, and one focus group
• Provides a specific composite AI Readiness Index score of 65/100 for Swedish teachers
• Reports granular scores, such as a school-level support score of 2.61/5
• Clear licensing under CC-BY-4.0 for open reuse

Limitations

• Dataset is a 170.9 KB PNG file, suggesting it is likely a report image or chart, not the underlying raw data
• Row count and column-level documentation for any underlying data are unknown
• Description metadata is limited; actual data quality and structure require 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

Time Range

null

Freshness

Last updated 2026-04-30 08:33:00; freshness should be verified

Geography

Sweden