ORIGINAL RESEARCH article
Front. Comput. Sci.
Sec. Human-Media Interaction
This article is part of the Research TopicArtificial Intelligence and Emerging Technologies for Inclusive and Innovative EducationView all articles
Impact of Generative Artificial Intelligence Feedback on Online Student Satisfaction
Provisionally accepted
Jose Amelio Medina Merodio1*
Miguel Morales Chan2
Roberto Barchino Plata1Hector R. Amado-Salvatierra2
Rocael Hernandez-Rizzardini2- 1University of Alcalá, Alcalá de Henares, Spain
- 2Universidad Galileo, Guatemala City, Guatemala
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
The emergence of Generative Artificial Intelligence (GAI) has significantly transformed both pedagogical methods and educational policies at a global scale. One of its main contributions lies in its potential to provide personalized feedback to students, which substantially enhances their learning and academic performance. In this context, the purpose of the present study is to propose and validate a conceptual model aimed at analyzing the factors that influence student behavior in response to GAI-mediated feedback in online learning environments. To this end, a MOOC titled "Transforming Education with AI: ChatGPT" was designed and developed at a university, where students received feedback on their activities through the GAI tool ChatGPT. The proposed model was evaluated through a survey that gathered a total of 161 responses and was validated using the PLS-SEM technique. The results show that students hold a positive perception of the use of GAI for receiving feedback in their learning process. Moreover, although concerns regarding privacy and security persist, these do not significantly affect the level of satisfaction with GAI-mediated feedback in education.
Keywords: Feedback, behavioral change, Generative AI, Attitude, Privacy, security, Satisfaction
Received: 18 Sep 2025; Accepted: 29 Nov 2025.
Copyright: © 2025 Medina Merodio, Morales Chan, Barchino Plata, Amado-Salvatierra and Hernandez-Rizzardini. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jose Amelio Medina Merodio
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.