Aprendizaje inmersivo y personalizado: La convergencia de la inteligencia artificial y la realidad virtual en la educación

Geovanny Francisco Ruiz Muñoz

doi:10.5281/zenodo.18114397

Authors

Geovanny Francisco Ruiz Muñoz Universidad de Guayaquil (Ecuador) https://orcid.org/0000-0001-7529-6342

DOI:

https://doi.org/10.5281/zenodo.18114397

Keywords:

Artificial Intelligence, Virtual Reality, Personalized Learning, Immersive Education, Technological Convergence

Abstract

The fragmentation between traditional and digital educational media limits learning effectiveness in higher education, creating an urgent need to investigate strategic convergence approaches. This mixed-methods quasi-experimental study evaluated the differential impact of four technological configurations (traditional methodology, virtual reality (VR) without personalization, artificial intelligence (AI) without immersion, and AI+VR convergence) on academic performance, student engagement, and immersive experience among university students from health sciences, engineering, and digital arts. The interdisciplinary contribution spans education/pedagogy through empirical evidence on comparative technological effectiveness, AI+VR applied research through data on isolated versus integrated implementation, and cognitive psychology through identification of engagement processes mediating between technology and learning outcomes. One hundred twenty participants were randomly assigned to four groups and evaluated using standardized pre-post tests, engagement scales, and immersive experience measures, complemented by semi-structured interviews and non-participant observation. Results demonstrated significant superiority of AI+VR convergence across all measured dimensions, with substantial improvements in academic performance, student engagement, and immersive experience compared to individual technologies or traditional methods. Qualitative findings revealed enhanced contextual understanding and sustained concentration in the convergent group. These results provide empirical foundations for transforming university pedagogical paradigms toward personalized and immersive learning ecosystems.

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Immersive and Personalized Learning: The Convergence of Artificial Intelligence and Virtual Reality in Education

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