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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Feedback is an essential component of the teaching–learning process; however, it can vary in quality due to different contexts and students’ and professors’ individual characteristics. This research explores the effect of generative artificial intelligence (GenAI) in strengthening personalized and timely feedback by initially defining an adaptable framework to integrate GenAI into feedback mechanisms defined in theoretical frameworks. We applied a between-subjects analysis in an experimental research design with 263 undergraduate students across multiple disciplines based on an approach consisting of a pretest–post-test process and control and focus groups to evaluate students’ perceptions of artificial intelligence-enhanced feedback versus traditional professor-led feedback. The results show that students who used GenAI declared statistically significantly higher satisfaction levels and a greater sense of ownership in the feedback process. Additionally, GenAI scaffolded continuous improvement and active student participation through a structured and accessible feedback environment, determining that 97% of students are willing to reuse the tool. These findings show that GenAI is a valuable tool to complement professors in the creation of an integrated feedback model. This study draws directions on future research on the combination of artificial intelligence and innovative strategies to produce a long-term impact on education.

Details

Title
Evaluating the Potential of Generative Artificial Intelligence to Innovate Feedback Processes
Author
Huesca Gilberto 1   VIAFID ORCID Logo  ; Elizondo-García, Mariana E 2 ; Aguayo-González, Ricardo 3 ; Aguayo-Hernández, Claudia H 4   VIAFID ORCID Logo  ; González-Buenrostro, Tanya 5 ; Verdugo-Jasso, Yuridia A 6 

 School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico 
 Educational Innovation and Digital Learning, Tecnologico de Monterrey, Monterrey 64849, Mexico; [email protected] 
 School of Architecture, Art and Design, Tecnologico de Monterrey, Mexico City 14380, Mexico; [email protected] 
 Academic Vicerectory, Tecnologico de Monterrey, Monterrey 64849, Mexico; [email protected] 
 Digital Enablement and Transformation, Tecnologico de Monterrey, Monterrey 64849, Mexico; [email protected] 
 Food Innovation International Center, Tecnologico de Monterrey, Ciudad Obregón 85010, Mexico; [email protected] 
First page
505
Publication year
2025
Publication date
2025
Publisher
MDPI AG
e-ISSN
22277102
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3194570331
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.