Mathematics Teachers' AI-TPACK and Perceptions Survey Data

218 mathematics teachers participated in a STREAM-based professional development program, with data collected on their AI-TPACK subscale scores, demographics, self-efficacy, and metaphor category distributions. This anonymized, aggregate-level quantitative dataset supports research on teacher perceptions and competency development regarding artificial intelligence in education. The data originates from a TÜBİTAK-funded project in Turkey, with individual qualitative data excluded for privacy compliance.

Use Cases

• Analyzing correlations between teacher demographics and AI-TPACK subscale scores.
• Examining distributions of teacher-generated metaphors for AI in education.
• Evaluating the impact of a STREAM-based professional development program on teacher self-efficacy.
• Benchmarking AI-TPACK levels among a cohort of 218 mathematics teachers.

Strengths

• Dataset is explicitly linked to a peer-reviewed manuscript submitted to IJMEST, indicating research rigor.
• Contains data from 218 participants (N=218), providing a substantive sample size for analysis.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Contains only aggregate-level data; individual-level and all qualitative data are excluded, limiting granular analysis.
• Column names and a precise row count are not provided in the available metadata, hindering technical assessment.
• The dataset's temporal and specific geographic coverage within Turkey are not detailed.

Provenance

Source

TÜBİTAK 4004, Project No: 224B238.

Collection Method

Data collected via surveys from participants in a STREAM-based professional development program for mathematics teachers.

Time Range

null

Freshness

Last updated on 2026-03-18.

Geography

Turkey (inferred from reference to KVKK, Turkish Personal Data Protection Law).