Israeli Teacher Survey on Generative AI Adoption and Literacy

270 Israeli teachers completed an online questionnaire assessing factors influencing their professional adoption of generative AI. The data includes demographic details and six AI acceptance subscales: social influence, hedonic motivation, performance expectancy, effort expectancy, willingness to use AI, and positive emotions. It also measures AI literacy and physical access to technology from home and work.

Use Cases

• Model the relationship between the six AIDUA subscales (e.g., effort expectancy, performance expectancy) and teachers' professional GenAI use.
• Analyze how AI literacy scores correlate with demographic variables and reported technology usage.
• Investigate if physical access at work predicts greater AI use, particularly among science and technology teachers.
• Examine the independent predictive strength of educational level on GenAI adoption alongside AI acceptance factors.

Strengths

• Data from 270 teacher respondents provides a substantive sample for analysis.
• Includes six validated AI acceptance subscales (AIDUA model) alongside AI literacy and physical access metrics.
• Clear focus on a specific professional group (teachers) and technology (generative AI) in educational settings.

Limitations

• Sample is limited to Israeli teachers, limiting geographic generalizability.
• The 85.6 KB file size indicates the dataset is small, likely containing only survey responses without extensive raw data.
• Unknown row and column structure makes precise analytical planning difficult prior to inspection.

Provenance

Source

figshare, author Mor Deshen.

Collection Method

Online questionnaire completed by teachers.

Time Range

null

Freshness

Last updated March 2026.

Geography

Israel