Dataset coding responses on obstacles, ethical concerns and perceived impact of early childhood and primary education teachers on the use of Artificial Intelligence in teaching and learning processes (Spanish version)

This dataset contains the qualitative coding framework and NVivo outputs generated during the study "Teachers' Perceptions of Generative Artificial Intelligence in Early Childhood and Primary Education in Spain." The repository includes the codebook developed through thematic content analysis, comprising three metacategories, 27 categories, and 98 subcategories, together with coding summaries from NVivo 14. The coding framework was developed using an iterative combination of deductive and inductive procedures and refined through consensus among the research team. To protect participants' privacy and comply with ethical and data protection requirements, the original textual responses collected from teachers are not included in this repository. Only aggregated coding outputs and analytical resources necessary to support the transparency and reproducibility of the qualitative analysis are shared.