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From Multimodal Texts to Generative AI: A Systematic Review of Immersive Educational Strategies and Their Reported Contributions to Sustainability and Inclusion in Higher Education

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  • Willy Adauto-Medina

    (Facultad de Ingeniería Mecánica y Electrónica, Universidad Nacional Tecnológica de Lima Sur, Lima 15834, Peru)

  • Omar Chamorro-Atalaya

    (Facultad de Ingeniería Mecánica y Electrónica, Universidad Nacional Tecnológica de Lima Sur, Lima 15834, Peru)

  • Soledad Olivares-Zegarra

    (Facultad de Ingeniería Mecánica y Electrónica, Universidad Nacional Tecnológica de Lima Sur, Lima 15834, Peru)

  • José Antonio Arévalo-Tuesta

    (Facultad de Ciencias Económicas, Universidad Nacional Federico Villarreal, Lima 15046, Peru)

  • Maritza Arones

    (Facultad de Ciencias de la Educación y Humanidades, Universidad Nacional San Luis Gonzaga, Ica 11001, Peru)

  • Irma Aybar-Bellido

    (Facultad de Ciencias de la Educación y Humanidades, Universidad Nacional San Luis Gonzaga, Ica 11001, Peru)

  • César León-Velarde

    (Facultad de Ingeniería Industrial y de Sistemas, Universidad Nacional Federico Villarreal, Lima 15003, Peru)

  • Silvia Fernández-Flores

    (Departamento de Humanidades, Universidad Tecnológica del Perú, Lima 15046, Peru)

  • Adrián Quispe-Andía

    (Facultad de Ciencias, Universidad Nacional Enrique Guzmán y Valle, Lima 15472, Peru)

  • Elizabeth Auqui-Ramos

    (Facultad de Ciencias, Universidad Nacional Enrique Guzmán y Valle, Lima 15472, Peru)

Abstract

Higher education is undergoing a transition in which static multimodal resources are giving way to immersive learning environments powered by generative artificial intelligence (GenAI). This PRISMA 2020-compliant systematic review, prospectively registered in INPLASY (202610066), synthesizes evidence on immersive GenAI-based strategies in higher education, examining their reported contributions to sustainability, inclusion, and learning outcomes. Searches across Scopus, ScienceDirect, and ERIC (2022–2026) identified 1364 records; after quality appraisal using an adapted CASP instrument, 25 studies were included in a narrative and descriptive synthesis. Five strategy types emerged—VR-based simulations, virtual patient platforms, adaptive LLM tutoring systems, mixed/augmented reality environments, and 3D/metaverse configurations—with GPT-family models predominating (56%). The central finding is a structural reporting asymmetry: learning outcomes were explicitly documented in 23 studies (92%), whereas sustainability and inclusion were explicitly reported as outcome domains in only one study each (4%). Health sciences (36%) and educational technology (28%) dominated the evidence base, while Latin American, African, and most STEM contexts remained underrepresented. Immersive GenAI strategies are being evaluated for short-term instructional value, while their contribution to sustainable higher education remains underexamined. Advancing SDG 4 requires longitudinal designs, equity-oriented frameworks, and indicators capable of evaluating inclusion and durable learning gains across institutional contexts.

Suggested Citation

  • Willy Adauto-Medina & Omar Chamorro-Atalaya & Soledad Olivares-Zegarra & José Antonio Arévalo-Tuesta & Maritza Arones & Irma Aybar-Bellido & César León-Velarde & Silvia Fernández-Flores & Adrián Quisp, 2026. "From Multimodal Texts to Generative AI: A Systematic Review of Immersive Educational Strategies and Their Reported Contributions to Sustainability and Inclusion in Higher Education," Sustainability, MDPI, vol. 18(12), pages 1-25, June.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:12:p:6373-:d:1972965
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