Learning Analytics in Augmented Reality

Secretan, Joshua; Wild, Fridolin and Guest, William Learning Analytics in Augmented Reality. In: Proceedings of 2019 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), IEEE Asia Pacific, Singapore.

Abstract

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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About

  • Item ORO ID
  • 71051
  • Item Type
  • Conference or Workshop Item
  • ISBN
  • 978-1-7281-265-4
  • Project Funding Details
  • Funded Project NameProject IDFunding Body
    LAAR Project2017-1-LI01-KA202-000087Erasmus+ program (EU)
    Not Set856533ARETE project
  • Extra Information
  • Theme
    "Creative & Innovative Education to Enhance the Quality of Life"
  • Keywords
  • augmented reality; learning analytics; experience API; Learning Locker; ESCO
  • Academic Unit or School
  • Institute of Educational Technology (IET)
  • Copyright Holders
  • © 2019 by the Institute of Electrical and Electronics Engineers, Inc.
  • Related URLs
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  • ORO Import

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