Supplementary Dataset: Verbatim Transcriptions of Dysgraphia-Related Writing Errors in Primary School Students

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Abstract

This dataset contains verbatim transcriptions of primary school students’ handwriting errors collected for the study titled “AI as a Teacher's Aide: Evaluating AI’s Performance in Identifying Dysgraphia-Related Writing Errors.” The materials are provided in Turkish in order to preserve the original linguistic and orthographic characteristics of the students’ writing. These transcriptions constitute the primary empirical basis for analyzing dysgraphia-related writing errors and evaluating the performance of an AI-based error identification system. No personally identifiable information is included in the dataset. All data were anonymised prior to publication.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 January 2026