Enhancing Learning Motivation Through Virtual Worlds and Intelligent Tutoring Systems: A Narrative Review.

This narrative review explores the integration of virtual worlds (VWs), intelligent tutoring systems (ITS), and adaptive learning in education, focusing on their potential benefits, existing challenges, and strategies for effective implementation. VWs offer dynamic and immersive platforms that can simulate complex systems, visualize abstract concepts, and create engaging narratives for deeper learning experiences. When combined with ITS, these environments can provide personalized education, enabling students to explore tailored content and interact with AI-driven tutors. However, the adoption of these technologies is hindered by factors such as technological complexity, high implementation costs, and resistance from educators and students. Recent advancements, including the integration of large language models (LLMs) and AI systems, show promise in overcoming these barriers by enhancing the adaptability and responsiveness of educational tools. The review identifies trends, challenges, and opportunities in leveraging these technologies to enhance learning outcomes. Findings suggest that VWs, when structured adaptively and integrated with ITS, significantly impact student learning by fostering motivation and improving performance. This combination supports personalized education, enabling students to explore tailored content and interact with AI-driven tutors. Ultimately, the study highlights the transformative potential of VWs and ITS in cultivating critical life skills, digital competencies, and deeper engagement, establishing a robust foundation for the future of education.