Artificial Intelligence in School Management: Perceptions and Challenges in the Relationships with School Supervision

Authors

  • Jose Alberto Martín Sánchez
  • Juan Palomares Cuadros
  • Sara Jiménez Vicente

DOI:

https://doi.org/10.23824/ase.v0i44.1028

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Abstract

The article analyzes the perceptions of a sample of 31 school principals regarding the incorporation of Artificial Intelligence (AI) into educational management and its impact on the professional relationship with the Educational Inspectorate. A mixed-methods approach was adopted, highlighting a questionnaire composed mainly of qualitative items for data collection. The main results indicate a good and fluid relationship between school leadership teams and the Inspectorate, with advisory support standing out as the primary function. Likewise, the study reveals the emerging growth of AI tools focused on the automation of administrative bureaucracy and the consultation of educational regulations, although not free from doubts about their validity, ethical concerns, and the potential loss of professional judgment. The conclusions point to the need for a redefinition of the relationship between school leadership and the Inspectorate, preserving the human dimension as an essential core.

References

Al-Omari, A. (2024). The impact of artificial intelligence on the school management: a study of opportunities and challenges in Jordan. INTED2024 proceedings, 5478-5486. DOI:10.21125/inted.2024.1418

Álvarez Aguilar, J. F. y Acisclos García, M. T. (2025). Usos prácticos de la inteligencia artificial en la Inspección Educativa. Supervisión 21, 77(77). https://doi.org/10.52149/Sp21/77.5

Arteaga, E. E. P., Sinchi, G. F. P., Ruiz, B. H. Y., Valarezo, S. N. E., Suárez, I. V. R., y Mora, C. A. V. (2025). La inteligencia artificial en la educación: desafíos y oportunidades. South Florida Journal of Development, 6(5), e5219. https://doi.org/10.46932/sfjdv6n5-006

Clarke, V. y Braun, V. (2013) Teaching thematic analysis: Overcoming challenges and developing strategies for effective learning. The Psychologist, 26(2), 120-123.

Esteban Frades, S. (2025). Impactos de la inteligencia artificial en la educación. Avances en Supervisión Educativa, (43), 1–32. https://avances.adide.org/index.php/ase/es/article/view/978

Fernández, E. M. (2025). La inspección educativa ante los retos de la digitalización: crónica del XXV Encuentro Internacional de USIE. (LLEIDA, 2025). Supervisión 21, 78(78). https://doi.org/10.52149/Sp21/78.9

Furkan, N. y Adiansha, A. A. (2024). School management and organizational culture towards teacher performance: The perspective of educational transformation. Journal of Educational Management and Instruction (JEMIN), 4(1), 41-57. https://doi.org/10.22515/jemin.v4i1.9102

García-Peñalvo, F. J. (2024). Inteligencia artificial generativa y educación: Un análisis desde múltiples perspectivas. Education in the Knowledge Society, 25(1), 1–15. https://revistas.usal.es/tres/index.php/eks/article/view/31942

González Fernández J. L. . (2023). La Inspección educativa actual de las Comunidad Autónomas: una visión comparativa. Supervisión 21, 68(68). https://doi.org/10.52149/SP21/68.16

Gutiérrez-Castillo, J. J., Romero Tena, R. y León-Garrido, A. (2025). Beneficios de la Inteligencia Artificial en el aprendizaje de los estudiantes universitarios: una revisión sistemática. Edutec, Revista Electrónica De Tecnología Educativa, (91), 185–206. https://doi.org/10.21556/edutec.2025.91.3607

Igbokwe, I. C. (2023). Application of artificial intelligence (AI) in educational management. International Journal of Scientific and Research Publications, 13(3), 300-307. http://dx.doi.org/10.29322/IJSRP.13.03.2023.p13536

Karakose, T., y Tülübas, T. (2024). School Leadership and Management in the Age of Artificial Intelligence (AI): Recent Developments and Future Prospects. Educational Process: International Journal, 13(1), 7-14. DOI:10.22521/edupij.2024.131.1

Kirchherr, J. y Charles, K. (2018). Enhancing the sample diversity of snowball samples: Recommendations from a research project on anti-dam movements in Southeast Asia. PloS one, 13(8), e0201710. https://doi.org/10.1371/journal.pone.0201710

Martín-Sánchez, J.A. (2015). Efectos de un programa de educación física sobre la percepción corporal, el autoconcepto, la autoestima y la condición física en el alumnado de tercer ciclo de educación primaria. Tesis doctoral, Universidad de Granada. https://digibug.ugr.es/handle/10481/42419

Mohammadi, S. E., Ghasemi, S. A., y Abbasi Nami, H. (2025). The application of artificial intelligence in school management (education). Sociology of Education, 10(3), 249-260. https://iase-jrn.ir/index.php/se/article/view/504

OCDE (2024). Revisión de la Recomendación sobre inteligencia artificial. OCDE Legal Instruments. https://legalinstruments.oecd.org/en/instruments/oecd-legal-0449

Palomares, J. (2003). Motivaciones, hábitos físico-deportivos y usos de los espacios del parque periurbano "Dehesas del Generalife". Tesis doctoral, Universidad de Granada.

Pineda Sánchez, V. Y. (2025). La inteligencia artificial como herramienta de optimización en la docencia pública: retos y oportunidades para el futuro de la educación. RIESED. Revista Internacional de Estudios sobre Sistemas Educativos, 3(16), 803–822. https://doi.org/10.5281/zenodo.15697704

Ritacco Real, M. y Bolívar Botía, A. (2018). School Principals in Spain: An Unstable Professional Identity. International Journal of Educational Leadership and Management, 6(1), 18-39. DOI:10.17583/ijelm.2018.2110

Sevilla, A., Cuevas-Ruiz, P., Rello, L. y Sanz, I. (2025). La inteligencia artificial en la educación: Oportunidades, retos y equidad en un nuevo paradigma de aprendizaje. Papeles de Economía Española, (184), 87–109. https://www.funcas.es/wp-content/uploads/2025/07/PEE_184_Sevilla_et-al.pdf

Tébar Cuesta., F. (2020). Inteligencia Artificial e Inspección de Educación. Reorganizar el Servicio de Inspección de Educación (SIE) para el siglo XXI. Supervisión 21, 57(57), 22. Recuperado a partir de https://supervision21.usie.es/index.php/Sp21/article/view/482

UNESCO (2021). Recomendación sobre la ética de la inteligencia artificial. UNESCO (recomendación adoptada el 23 de noviembre de 2021. https://unesdoc.unesco.org/ark:/48223/pf0000381137_spa.

Uzcátegui Pacheco, R. A. y Ríos Colmenárez, M. J. (2024). Inteligencia Artificial para la Educación: formar en tiempos de incertidumbre para adelantar el futuro. Areté, Revista Digital del Doctorado en Educación, 10(especial), 1 – 21. https://doi.org/10.55560/arete.2024.ee.10.1

Zhang, J., Jehangir, F. N., Yang, L., Tahir, M. A. y Tabasum, S. (2025). Competitive advantage and firm performance: The role of organizational culture, organizational innovation, and knowledge sharing. Journal of the Knowledge Economy, 16(1), 3081-3107. DOI:10.1007/s13132-024-01910-3

How to Cite

Martín Sánchez, J. A., Palomares Cuadros, J., & Jiménez Vicente, S. (2025). Artificial Intelligence in School Management: Perceptions and Challenges in the Relationships with School Supervision. Avances En Supervisión Educativa, 44. https://doi.org/10.23824/ase.v0i44.1028

Published

31-12-2025

Keywords:

Artificial Intelligence; School Supervision; Instructional Leadership; Technology Integration; Data Driven Decision Making; Educational Administration; School Leadership