Applying Machine Learning to Augment the Design and Assessment of Immersive Learning Experience

The use of machine learning has seen a remarkable rise in education research with extraordinary potential to enhance immersive learning experience. An immersive learning experience, in which learners participate in simulated virtual environments, can promote deep learning as learners actively explore and construct knowledge within the learning environments. Despite the growing interest and increasing applications, the ways in which machine learning can be used to augment the design and assessment of immersive learning experience remain an open area of exploration. Machine learning can be used to provide adaptive and personalized learning, increase interactivity and engagement, and track learning activities in immersive learning environments. In this chapter, the author describes the current state of research on machine learning in immersive learning environments, including adaptive and personalized learning, natural language processing and conversational artificial intelligence, and data and learning analytics. The author also outlines the potential future directions for the applications of machine learning in designing and assessing immersive learning experiences to inform educational sciences. This chapter serves as a useful reference for educational researchers, practitioners, and policy makers seeking to make informed decisions on the design and assessment of immersive learning experiences.