Survey of Slovak Teachers' AI Tool Familiarity and Classroom Use

Lívia Mešková's dataset contains qualitative survey responses from 211 in-service teachers in Slovakia, collected to explore the gap between their knowledge of AI tools and pedagogical integration. The data was analyzed using open, axial, and selective coding in ATLAS.ti Web. The dataset was last updated on May 7, 2026.

Use Cases

• Analyzing the prevalence of specific AI tool categories (e.g., chatbots, creative generators) among teachers based on the reported tool list.
• Comparing the ratio of technical versus pedagogical AI applications based on the reported 67.9% vs 32.0% coded segment split.
• Identifying barriers to pedagogical AI integration based on the reported six main areas of use and non-use.
• Benchmarking AI competency gaps against international frameworks (e.g., UNESCO, DigCompEdu) referenced in the discussion.

Strengths

• Includes responses from 211 in-service teachers, providing a substantive sample.
• Analysis provides specific quantitative breakdowns, such as 42.6% of respondents using AI for material preparation and a 2.1:1 ratio between technical and pedagogical uses.
• Trustworthiness procedures, including transparent documentation, AI-assisted debriefing, and an audit trail, are documented.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the Slovak sample.

Provenance

Source

figshare

Collection Method

Qualitative descriptive design using two open-ended survey questions.

Freshness

Last updated 2026-05-07 04:44:02; freshness should be verified.

Geography

Slovakia