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Artificial Intelligence Professional Development Provision for Teachers in Andalusia: Documentary Analysis and Recommendations for a Comprehensive Approach

Author

Listed:
  • Manuel Reina-Parrado

    (Department of Didactics and School Organization, Faculty of Education, University of Seville, 41013 Seville, Spain)

  • Pedro Román-Graván

    (Department of Didactics and School Organization, Faculty of Education, University of Seville, 41013 Seville, Spain)

  • Carlos Hervás-Gómez

    (Department of Didactics and School Organization, Faculty of Education, University of Seville, 41013 Seville, Spain)

Abstract

This study analyses the professional development provision in artificial intelligence (AI) offered to non-university teachers in Andalusia during the 2023–2024 academic year. The research follows a descriptive documentary design based on the systematic review of training activities provided by the Teacher Training Centres (CEPs) in the eight Andalusian provinces. The initial corpus comprised 1832 training activities. After screening course titles and, when available, objectives, descriptions, metadata and content lists, 26 AI-related activities were identified; after excluding repeated editions and activities whose information was not accessible, the final analysable corpus consisted of 15 distinct and visible courses. The analysis combined quantitative description of distribution by province with qualitative content analysis supported by Atlas.ti. The results show that AI-related training represented only 1.42% of the overall offer and that the final analysable corpus represented 0.82% of all training activities. The provision was also unevenly distributed across provinces and tended to privilege specific tools, generative AI applications and productivity-oriented uses, with comparatively limited attention to ethical, pedagogical, assessment-related and interdisciplinary dimensions. The findings suggest the need for a more coherent regional strategy based on common minimum AI literacy modules, differentiated pathways by educational stage, blended and mentored formats, classroom-based projects and systematic evaluation of training impact.

Suggested Citation

  • Manuel Reina-Parrado & Pedro Román-Graván & Carlos Hervás-Gómez, 2026. "Artificial Intelligence Professional Development Provision for Teachers in Andalusia: Documentary Analysis and Recommendations for a Comprehensive Approach," Social Sciences, MDPI, vol. 15(7), pages 1-12, July.
  • Handle: RePEc:gam:jscscx:v:15:y:2026:i:7:p:449-:d:1984725
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