ADAPTIVE LEARNING IN MIXED REALITY: NEW HORIZONS FOR PERSONALIZED EDUCATION Cover Image

ADAPTIVE LEARNING IN MIXED REALITY: NEW HORIZONS FOR PERSONALIZED EDUCATION
ADAPTIVE LEARNING IN MIXED REALITY: NEW HORIZONS FOR PERSONALIZED EDUCATION

Author(s): Ivan Trenchev, Vladimir Angelov, Yana Karshiyska, Yordan Spirov, Kamelia Shumanova, Borislav Zashev
Subject(s): Social Sciences, Education
Published by: Национално издателство за образование и наука „Аз-буки“
Keywords: Mixed Reality; Artificial Intelligence; Unreal Engine 5; Adaptive Learning; Immersive Education; Virtual Environments

Summary/Abstract: The integration of Artificial Intelligence (AI) and Mixed Reality (MR) in education is revolutionizing the way learners interact with digital content. This paper explores how AI-powered adaptive learning systems, combined with Unreal Engine 5 (UE5), can enhance immersive educational experiences. UE5 provides high-fidelity virtual environments, enabling interactive and engaging simulations that respond dynamically to learners’ needs. AI algorithms analyze user interactions, preferences, and cognitive load to personalize content in real-time, fostering deeper engagement and improved knowledge retention. The study examines key applications, including gesture recognition, voice interaction, and real-time adaptation of virtual learning environments. Challenges such as optimization for real-time performance, ethical considerations, and user accessibility are also discussed. The findings highlight the potential of AI-driven MR experiences in reshaping education, making learning more accessible, interactive, and personalized.

  • Issue Year: 69/2026
  • Issue No: 3
  • Page Range: 297-314
  • Page Count: 18
  • Language: English
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