IDigital Transformation and Educational Quality in Higher Education: The Role of Artificial Intelligence, Virtual Reality and Innovative Assessment Models

This study examines the impact of integrating emerging technologies such as artificialintelligence and virtual reality, alongside innovative assessment models, on the qualityof higher education in universities in Ecuador, Mexico, and Peru. The primary objectiveis to experimentally evaluate how these tools transform teaching–learning processesand enhance academic performance in higher education. The research adopts a mixed-methods approach, combining quantitative analysis of questionnaires administered tofaculty and students with qualitative analysis of interviews conducted with experts ineducation and technology. The findings reveal significant improvements in participants’perceptions regarding the relevance, usability, and effectiveness of these technologies,as well as enhanced academic outcomes in experimental groups compared to controlgroups. Furthermore, the study identifies key barriers and enablers for adoption,highlighting the importance of institutional policies, teacher training, and strengthenedtechnological infrastructure. The study concludes that the strategic incorporation ofthese technologies can help bridge digital divides, enhance educational quality, andfoster more inclusive and innovative learning environments in Latin America

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-15
DOI
https://doi.org/10.5281/zenodo.16880624
Primary Topic
Heme Oxygenase-1 and Carbon Monoxide
Type
article
Field-Weighted Citation Impact
0.00
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article

IDigital Transformation and Educational Quality in Higher Education: The Role of Artificial Intelligence, Virtual Reality and Innovative Assessment Models

Zenodo (CERN European Organization for Nuclear Research)
Heme Oxygenase-1 and Carbon Monoxide
article

IDigital Transformation and Educational Quality in Higher Education: The Role of Artificial Intelligence, Virtual Reality and Innovative Assessment Models

article en

Abstract

This study examines the impact of integrating emerging technologies such as artificialintelligence and virtual reality, alongside innovative assessment models, on the qualityof higher education in universities in Ecuador, Mexico, and Peru. The primary objectiveis to experimentally evaluate how these tools transform teaching–learning processesand enhance academic performance in higher education. The research adopts a mixed-methods approach, combining quantitative analysis of questionnaires administered tofaculty and students with qualitative analysis of interviews conducted with experts ineducation and technology. The findings reveal significant improvements in participants’perceptions regarding the relevance, usability, and effectiveness of these technologies,as well as enhanced academic outcomes in experimental groups compared to controlgroups. Furthermore, the study identifies key barriers and enablers for adoption,highlighting the importance of institutional policies, teacher training, and strengthenedtechnological infrastructure. The study concludes that the strategic incorporation ofthese technologies can help bridge digital divides, enhance educational quality, andfoster more inclusive and innovative learning environments in Latin America

Zenodo (CERN European Organization for Nuclear Research)
Universidad Nacional de Educación a Distancia (ES), Universidad Anáhuac México Sur (MX), Universidad Espíritu Santo (EC), National University of Rosario (AR), Catholic University of Santa María (PE), Universidad Nacional Pedro Ruíz Gallo (PE), Universidad de Ingeniería y Tecnología (PE), Universidad Nacional de Educación
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Heme Oxygenase-1 and Carbon Monoxide
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IDigital Transformation and Educational Quality in Higher Education: The Role of Artificial Intelligence, Virtual Reality and Innovative Assessment Models · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS