Volume 19 (2025) Download Cover Page

Integration of Generative Artificial Intelligence and 3D Immersive Environments in Competency-Based Higher Education

Article Number: e2025544  |  Available Online: November 2025  |  DOI: 10.22521/edupij.2025.19.544

Sergio Alejandro Rodríguez Jerez , Juan Sebastián Leyva Casas , Marialejandra Rueda Osorio

Abstract

Background/purpose. The incorporation of generative artificial intelligence (AI) into higher education is transforming competency-based learning by enabling adaptive, interactive, and immersive environments. This study aimed to design and evaluate an innovation mechanism that integrates AI agents with 3D interfaces, focusing not only on technical feasibility but also on pedagogical contribution, including motivation, personalization, and competency development.

Materials/methods. Three AI systems—Ser, Edu, and Male—were developed at Universidad Sergio Arboleda and integrated into Unity-based 3D environments. The modular architecture combined voice-to-text, large language model processing, summarization, and text-to-speech. A mixed-methods approach was employed with instructors at the School of Aeronautical Instruction, including surveys, focus groups, and learning analytics to capture interaction data.

Results. Findings showed high acceptance: 81% of instructors reported motivation to use the system, while 68% perceived AI as a complement to teaching. Whisper achieved 93% transcription accuracy, and response latency averaged under 2.5 seconds. Over 3,100 interactions were recorded, mainly focused on rubric design, motivational strategies, and instructional materials. Teachers highlighted the pedagogical value of AI-generated bullet-point summaries for reducing cognitive load and organizing content.

Conclusion. The study demonstrates that generative AI integrated with 3D immersive environments can reconceptualize the teaching role from content delivery to pedagogical design. Beyond technical performance, the system enhanced personalization, engagement, and competency-based instruction. These results provide evidence of AI’s potential as a pedagogical ally and offer practical insights for scaling innovation in curriculum design and teacher training.

Keywords: Generative Artificial Intelligence, Immersive Learning Environments, Competency-Based Education, Teacher Training, Learning Analytics

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