Foresight Study on the Influence of ChatGPT In Peruvian Universities Towards 2033

This article investigates how the integration of ChatGPT could transform Peruvian universities by 2033. Twenty drivers were identified, including digital competencies, critical thinking, academic performance, and motivation. Using a foresight approach, possible future scenarios were generated. The methodology consists of four stages: (1) Exploration of the system to identify key drivers; (2) Validation of the information by applying the Delphi method in real time to confirm these drivers; (3) Construction of scenarios using Schwartz axes and structural analysis; and (4) Validation of scenarios using the Probability, Desirability and Governance (PDG) method. The analysis revealed that the most important and uncertain drivers are related to 'training in critical thinking, feedback through intelligent tutoring, and the development of technological infrastructure,' located in Schwartz's Quadrant III. These drivers are crucial to building four scenarios, including the target scenario dubbed "Overcoming Challenges with Innovation and Technology".

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Publication Details

Journal
The Electronic Journal of e-Learning
Published
2025-06-06
DOI
https://doi.org/10.34190/ejel.23.2.3837
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Foresight Study on the Influence of ChatGPT In Peruvian Universities Towards 2033

Carlos Guillermo Hernández-Cenzano, Julio César Acosta Prado, Mariel Gabriela Muñiz Apaza
1 citations
The Electronic Journal of e-Learning
Artificial Intelligence in Healthcare and Education
0.65
article

Foresight Study on the Influence of ChatGPT In Peruvian Universities Towards 2033

Carlos Guillermo Hernández-Cenzano, Julio César Acosta Prado, Mariel Gabriela Muñiz Apaza
article en
1 citations

Abstract

This article investigates how the integration of ChatGPT could transform Peruvian universities by 2033. Twenty drivers were identified, including digital competencies, critical thinking, academic performance, and motivation. Using a foresight approach, possible future scenarios were generated. The methodology consists of four stages: (1) Exploration of the system to identify key drivers; (2) Validation of the information by applying the Delphi method in real time to confirm these drivers; (3) Construction of scenarios using Schwartz axes and structural analysis; and (4) Validation of scenarios using the Probability, Desirability and Governance (PDG) method. The analysis revealed that the most important and uncertain drivers are related to 'training in critical thinking, feedback through intelligent tutoring, and the development of technological infrastructure,' located in Schwartz's Quadrant III. These drivers are crucial to building four scenarios, including the target scenario dubbed "Overcoming Challenges with Innovation and Technology".

The Electronic Journal of e-LearningVol. 23(2)
Pontificia Universidad Católica del Perú (PE)
Openalex Percentile: Top 24%
Artificial Intelligence in Healthcare and Education
0.65
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Foresight Study on the Influence of ChatGPT In Peruvian Universities Towards 2033 — Carlos Guillermo Hernández-Cenzano, Julio César Acosta Prado, et al. · The Electronic Journal of e-Learning (2025) | TGRS Research Map | TGRS