Learning Analytics in Augmented Reality

Secretan, Joshua; Wild, Fridolin and Guest, William (2020). Learning Analytics in Augmented Reality. In: Proceedings of 2019 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), IEEE Asia Pacific, Singapore, article no. 20073739.

URL: https://ieeexplore.ieee.org/document/9225931


Learning Analytics in flat web platforms is rather commonplace, but recording learner performance from immersive real-world experience still poses a challenge. With this study, we break ground and show that Learning Analytics for Augmented Reality are possible and we outline how an according system can be implemented. We describe a novel framework for competency-based workplace Learning Analytics and document the required components with regards to software, hardware, and their configuration. Thereby, we discuss key design decisions and lessons learned from the implementation of the framework, drawing from the experience of the EU project Learning Analytics in Augmented Reality (LAAR), which provided the environment and context for this work. Most notably, this included testing the technologies in realistic scenarios in vocational training of stage technicians. Finally, we conclude the paper with a summary of the work done and an outlook on possible extensions for researchers wishing to build on our work.

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