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A Systematic Literature Review of Mixed Reality Learning Approaches

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Extended Reality (XR Salento 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14219))

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Abstract

Mixed reality provides a high potential to support learning activities. There are many individual case studies in the literature which investigate mixed reality learning in a specific use case. The research process has been expedited by recent mixed reality innovations like developments in mobile augmented reality and headsets. In this systematic literature study, the cross connections between these existing case studies were investigated in detail by inspecting how researchers used mixed reality technology to support learning and teaching in formal and informal education by comparing similar results and same encountered challenges. 80 publications were analyzed to gain insights into the used technology, learning methods, integration in educational processes, the use cases, the target audience, the evaluation setups and common results in 19 categories of this set of publications. Based on the results, a mixed reality learning cube for classifying the approaches was developed in a co-evolutionary process. Each cell of the mixed reality learning cube describes a possible way of integrating mixed reality in education, based on the learning design, technology approach and integration point in the process. The assignment of publications to cells of the cube also highlights where future research is required. A technology landscape emerged to classify the mixed reality devices regarding their characteristics. The elaborated mixed reality learning cube enables a systematic approach to integrate mixed reality in formal and informal education.

I thank the German Federal Ministry of Education and Research for their support within the project “Personalisierte Kompetenzentwicklung und hybrides KI-Mentoring” (tech4compKI; id: 16DHB2213).

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Hensen, B. (2023). A Systematic Literature Review of Mixed Reality Learning Approaches. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2023. Lecture Notes in Computer Science, vol 14219. Springer, Cham. https://doi.org/10.1007/978-3-031-43404-4_2

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