Teacher Candidates' Attitudes and Ethical Concerns Towards AI in Türkiye

207 preservice teachers in Türkiye provided quantitative and qualitative data on their views of artificial intelligence. The dataset includes responses to the General Attitudes toward Artificial Intelligence Scale (GAAIS) and open-ended responses analyzed through qualitative content analysis. Abdullah Tanta published this mixed-methods study on figshare in June 2026.

Use Cases

• Analyze correlations between demographic information and attitudes toward AI based on survey scale data.
• Identify common themes in ethical concerns about AI in education from open-ended qualitative responses.
• Train models to predict teacher candidate receptiveness to AI tools based on demographic and attitudinal data.
• Compare quantitative attitude scores with qualitative ethical reasoning to understand nuanced perspectives.

Strengths

• Contains data from 207 preservice teacher participants.
• Combines quantitative scale data (GAAIS) with qualitative open-ended responses.
• Explicitly focuses on both attitudes and ethical concerns, providing a dual perspective.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to its collection from preservice teachers in Türkiye.
• Row count for the qualitative component is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Mixed-methods study collecting survey and open-ended responses from preservice teachers.

Freshness

Last updated 2026-06-04 06:41:11; freshness should be verified.

Geography

Türkiye