Co-construction and artificial intelligence in teaching management: a case study in Chile

Authors

DOI:

https://doi.org/10.15517/3rtsn163

Keywords:

Educational management, artificial intelligence, process improvement, higher education, participatory innovation

Abstract

This article originates from a presentation submitted to the XXII Conference on Higher Education Management at the International Education Summit UC, which was expanded through a documentary research process and institutional analysis. It presents a case study on the integration of artificial intelligence (AI) in the teaching management of a university faculty in Chile, characterized by large-scale operations and complex administrative processes. The aim is to describe and analyze an institutional improvement process focused on anticipating, validating, and standardizing critical stages of the teaching cycle through automated and collaboratively developed tools. The study followed a qualitative case study design combining documentary analysis and process observation, integrating evidence from course planning, enrolment, classroom allocation, schedule validation, and assessment verification. A key feature of the case was the participatory work of the teaching management team, which co-designed and implemented AI solutions as part of a broader process of literacy and ethical deliberation on their use. Findings suggest that AI, understood as an administrative co-teacher, can enhance traceability, efficiency, and data-informed decision-making, while fostering a culture of democratic innovation and shared responsibility within university management.

Downloads

Download data is not yet available.

Author Biographies

  • Dr Carlos Rojas, Pontificia Universidad Católica

    Carlos Rojas is an academic and Director of Teaching Management at the Faculty of Mathematics, Pontificia Universidad Católica de Chile. His work integrates educational innovation, institutional analytics, and research on university teaching. He has led digital transformation and faculty development projects focused on the ethical and participatory use of artificial intelligence, as well as initiatives linking mathematics, pedagogy, and technology. His research interests include university teaching management, critical AI literacy, and the design of formative learning experiences.

  • Carolina Calderón, Pontificia Universidad Católica

    Carolina Calderón Ayala is a Human Resources Management Engineer and Deputy Director of Teaching Management at the Faculty of Mathematics, Pontificia Universidad Católica de Chile. She has over 17 years of experience in higher education, specializing in teaching management, academic processes, and continuous improvement in large-scale institutional contexts. Her work focuses on process optimization, team leadership, and the development of strategies aimed at operational efficiency and educational quality.

References

Acosta, A. (2022). Gobernanza, poder y autonomía universitaria en la era de la innovación. Perfiles Educativos, 44(178), 150-164. https://doi.org/10.22201/iisue.24486167e.2022.178.60735

Bowen, G. (2009). Document Analysis as a Qualitative Research Method. Qualitative Research Journal, 9(2), 27-40. https://doi.org/10.3316/QRJ0902027

Cárdenas Gutiérrez, C., Farías Martínez, G. M. y Méndez Castro, G. (2017). ¿Existe relación entre la gestión administrativa y la innovación educativa? Un estudio de caso en educación superior. REICE. Revista Iberoamericana sobre Calidad, Eficacia y Cambio en Educación, 15(1), 19-35. https://doi.org/10.15366/reice2017.15.1.002

CEPAL. (2025). Índice Latinoamericano de Inteligencia Artificial (ILIA) 2025. https://www.cepal.org/es/publicaciones/82514-indice-latinoamericano-inteligencia-artificial-ilia-2025

García Peñaloza, J. E., Bohórquez, A. F. y Solano Balaguera, P. A. (2025). Management trends and implementation of AI in university management. Data and Metadata, 4, 2-15. https://doi.org/10.56294/dm2025866

Herrera, P., Huepe, M. y Trucco, D. (2025). Educación y desarrollo de competencias digitales en América Latina y el Caribe. Editorial CEPAL. https://www.cepal.org/es/publicaciones/81377-educacion-desarrollo-competencias-digitales-america-latina-caribe

Naciones Unidas. (2024). Gobernanza de la IA en beneficio de la Humanidad - Informe Final. Órgano Asesor de Alto Nivel sobre Inteligencia Artificial. https://www.un.org/sites/un2.un.org/files/governing_ai_for_humanity_final_report_es.pdf

Pontificia Universidad Católica de Chile, Facultad de Matemáticas. (2024). Informe anual del Decano 2024. Santiago, Chile.

Rodríguez Mireles, A. del C. (2025). Transformación Digital y Desarrollo Organizacional en Educación Superior: Aplicación de Inteligencia Artificial en la Gestión Académica y Administrativa. Reincisol, 4(7), 3351-3374. https://doi.org/10.59282/reincisol.V4(7)3351-3374

Ruiz Muñoz, G. F., Vasco Delgado, J. C. y Alvear Dávalos, J. M. (2024). Inteligencia artificial y gobernanza en la gestión académica y administrativa de la educación superior. Revista Social Fronteriza, 4(6), 1-19. https://doi.org/10.59814/resofro.2024.4(6)508

Salas-Pilco, S. Z. y Yang, Y. (2022). Aplicaciones de la inteligencia artificial en la educación superior latinoamericana: una revisión sistemática. International Journal of Educational Technology in Higher Education, 19(21), 1-20. https://doi.org/10.1186/s41239-022-00326-w

Stake, R. (2006). Multiple case study analysis. The Guilford Press.

UNESCO. (2021). Recomendación sobre la Ética de la Inteligencia Artificial. https://unesdoc.unesco.org/ark:/48223/pf0000380455_spa

UNESCO. (2024a). Guía para el uso de IA generativa en educación e investigación. https://unesdoc.unesco.org/ark:/48223/pf0000389227

UNESCO. (2024b). Seis pilares para la transformación digital de la educación: Un marco común. https://unesdoc.unesco.org/ark:/48223/pf0000391299_spa

UNESCO-IESALC. (2024). The role of higher education in national artificial intelligence strategies: A comparative policy review. UNESCO Digital Library. https://unesdoc.unesco.org/ark:/48223/pf0000392038_eng

United Nations System. (2024). United Nations System White Paper on AI Governance: An analysis of the UN system’s institutional models, functions, and existing international normative frameworks applicable to AI governance. https://unsceb.org/sites/default/files/2024-05/United%20Nations%20System%20White%20Paper%20on%20AI%20Governance.pdf

Valle Mena, R. R. (2024). Inteligencia artificial y su impacto en las prácticas administrativas de las universidades. Política y Ciencias Administrativas, 3(1), 6-19. https://doi.org/10.62465/rpca.v3n1.2024.65

Vasco-Delgado, J. C., Lima-Quinde, M. A., Macas-Padilla, B. A. y Vasco-Delgado, L. A. (2025). Ética en la implementación de tecnologías emergentes en entornos educativos. Multidisciplinary Latin American Journal (MLAJ), 3(2), 130-156. https://doi.org/10.62131/MLAJ-V3-N2-010

Yin, R. (2018). Case study research and applications: Design and methods (6th ed.). Sage Publications.

Published

2025-12-31

How to Cite

Co-construction and artificial intelligence in teaching management: a case study in Chile. (2025). Management of Education, 12(1). https://doi.org/10.15517/3rtsn163