PersonaVsTeachinglevel: Swedish Teacher AI Readiness Survey and Interviews

56 Swedish teachers from primary through upper secondary levels participated in surveys, interviews, and a focus group assessing AI integration readiness. The report, authored by Ahmed Taiye Mohammed and published in April 2026, calculates a composite AI Readiness Index score of 65 out of 100. Key findings highlight a gap between conceptual awareness and applied confidence, and critically low school-level support scores of 2.61 out of 5.

Use Cases

• Analyzing the gap between individual AI competence and institutional support based on the composite readiness index.
• Comparing AI readiness and ethical intuitions across different teaching levels (primary to upper secondary).
• Investigating the role of personal motivation versus systemic conditions in driving practical AI integration.
• Benchmarking school-level infrastructure and support scores for international comparative studies.

Strengths

• Includes mixed-methods data from 56 survey respondents, 7 interviews, and 1 focus group.
• Provides a quantified AI Readiness Index score (65/100) and a specific school support score (2.61/5).
• Data is explicitly tied to a defined Erasmus+ project (No. 101249404) and a national context (Sweden).

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small (414.4 KB), indicating limited scope and sample size.
• 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), Swedish national field research component.

Collection Method

Surveys, seven semi-structured interviews, and one focus group.

Freshness

Last updated 2026-04-30 08:38:42; freshness should be verified.

Geography

Sweden