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Article

Exploring the Use of AI to Optimize the Evaluation of a Faculty Training Program

by
Alexandra Míguez-Souto
1,*,
María Ángeles Gutiérrez García
2 and
José Luis Martín-Núñez
3
1
UAM Doctoral School, Universidad Autónoma de Madrid (UAM), 28049 Madrid, Spain
2
Pedagogy University Department, Universidad Autónoma de Madrid (UAM), 28049 Madrid, Spain
3
Institute for Educational Sciencies (ICE), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Educ. Sci. 2025, 15(10), 1394; https://doi.org/10.3390/educsci15101394
Submission received: 9 August 2025 / Revised: 3 October 2025 / Accepted: 10 October 2025 / Published: 17 October 2025
(This article belongs to the Topic AI Trends in Teacher and Student Training)

Abstract

This study examines the potential of the AI chatbot ChatGPT-4o to support human-centered tasks such as qualitative research analysis. It focuses on a case study involving an initial university teaching training program at the Universidad Politécnica de Madrid (UPM), evaluated through student feedback. The findings indicate that ChatGPT can assist in the qualitative analysis of student assessments by identifying specific issues and suggesting possible solutions. However, expert oversight remains necessary as the tool lacks a full contextual understanding of the actions evaluated. The study concludes that AI systems like ChatGPT offer powerful means to complement complex human-centered tasks and anticipates their growing role in the evaluation of formative programs. By examining ChatGPT’s performance in this context, the study lays the groundwork for prototyping a customized automated system built on the insights gained here, capable of assessing program outcomes and supporting iterative improvements throughout each module, with the ultimate goal of enhancing the quality of the training program
Keywords: program evaluation; faculty development; initial training; university; artificial intelligence program evaluation; faculty development; initial training; university; artificial intelligence

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MDPI and ACS Style

Míguez-Souto, A.; Gutiérrez García, M.Á.; Martín-Núñez, J.L. Exploring the Use of AI to Optimize the Evaluation of a Faculty Training Program. Educ. Sci. 2025, 15, 1394. https://doi.org/10.3390/educsci15101394

AMA Style

Míguez-Souto A, Gutiérrez García MÁ, Martín-Núñez JL. Exploring the Use of AI to Optimize the Evaluation of a Faculty Training Program. Education Sciences. 2025; 15(10):1394. https://doi.org/10.3390/educsci15101394

Chicago/Turabian Style

Míguez-Souto, Alexandra, María Ángeles Gutiérrez García, and José Luis Martín-Núñez. 2025. "Exploring the Use of AI to Optimize the Evaluation of a Faculty Training Program" Education Sciences 15, no. 10: 1394. https://doi.org/10.3390/educsci15101394

APA Style

Míguez-Souto, A., Gutiérrez García, M. Á., & Martín-Núñez, J. L. (2025). Exploring the Use of AI to Optimize the Evaluation of a Faculty Training Program. Education Sciences, 15(10), 1394. https://doi.org/10.3390/educsci15101394

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