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Teaching about AR and Teaching with AR

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Augmented Reality (AR) is on the way to establishing itself in business and teaching once more. However, there is a lack of uniform guidelines or even standards both in the creation of teaching materials and in the use of AR in teaching. In addition, the industry needs enough well-trained specialists who can implement the established AR concepts, making a transfer from university to industry necessary. Therefore, in this talk we address both challenges in teaching with AR and the special needs of teaching about AR.

As teaching with AR will surely advance human performance and also brings in new perspectives with the communication, coordination and collaboration of AR in supporting human performance. As computer scientists, we have a European, interdisciplinary and application-oriented perspective, as our experience comes from several funded European projects in these areas. We also incorporate new incentives into teaching contexts in our framework, such as gamification, learning analytics and experience capturing. In addition, we refer to international standardization efforts such as IEEE ARLEM.

Teaching about AR adopts a multi-perspective view. First, there is scientific and technological basic knowledge helping to understand the underlying physical and technical principles. Second, there is engineering and design knowledge to master the creation, fabrication, and utilization of AR in many ways. Third, there is the necessary pedagogical knowledge to transform these complex settings in manageable teaching scenarios and processes, e.g. for higher education curricula.

Here, teaching AR can learn from traditions of science and engineering education as well as from more recent knowledge about computer science education. Examples from recent and on-going European projects will illustrate the argumentation.

Published in: Technology
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Teaching about AR and Teaching with AR

  1. 1. 1 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke This slide deck is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Teaching about Mixed Reality and Teaching with Mixed Reality Ralf Klamma Advanced Community Information Systems (ACIS) RWTH Aachen University, Germany klamma@dbis.rwth-aachen.de
  2. 2. 2 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Agenda
  3. 3. 3 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Motivation  Mixed reality (MR) is establishing in industry, commerce, entertainment and teaching  Missing standards for the creation, storage and utilization of learning content  Additional skills & competences needed for teaching and learning MR  Additional new impulses – Experience Capturing – Immersive Learning Analytics – Gamifaction
  4. 4. 4 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Criticism  Market adoption – Already several AR and VR waves – Hardware still not ergonomic enough  Naive techno-optimism – Trans-humanism movement – Often deficit-oriented views on humans  Data protection
  5. 5. 5 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Definition
  6. 6. 6 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Technology Enhanced Learning
  7. 7. 7 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Stakeholder
  8. 8. 8 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Mixed Reality Anatomy  „Exploratory Teaching Space“ between RWTH Aachen University and University Hospital in Maastricht, The Netherlands  Models play a central role in teaching anatomy, but they are expensive and brittle  Data Capturing via 3D Scan  GaMR is an Anatomy learning environment in Mixed Reality for Microsoft HoloLens  3D models are freely scaling, rotating and zooming
  9. 9. 9 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke GaMR: Mixed Reality Anatomy  Gamification: Using game elements in non-gaming contexts  Examples – Quizzes – Progress Bar – Badges – Ranking
  10. 10. 10 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke GAMR Video https://youtu.be/vQ8DmM5tMqg
  11. 11. 11 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Open Source User Interfaces Screenshot Features and Challenges Adaptable Button Widget Templates • Animations for giving feedback to users • Different enhancements 3D Keyboard • Input field stays in the field of view • Adapts to language setting Annotation system • Markers place able on the surface • Combines text and audio Bounding Box • Elements for placing, rotating, and scaling • Context menu for more options Badges and Progress Bar • Adaptable Layout • Free definition of images on Badges (design)
  12. 12. 12 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Wearable Experience for Knowledge Intensive Training (WEKIT)  Horizon 2020 with 12 partners (2015-2019)  Industrial Training in High-Tech  „Experience Capturing“ for creating high quality AR training content  Player for training situations  https://wekit-community.org
  13. 13. 13 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke WEKIT.ONE Platform RECORDER experience capturing PLAYER experience re- enactment HARNESS e-textile sensors
  14. 14. 14 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke RECORDING EXPERTISE WHERE IT HAPPENS
  15. 15. 15 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke AugmentedReality Learning Experience Model (ARLEM) is an integratedconceptualmodeland the according datamodelspecificationsfor representing activities, learning contextand environment. Augmented Reality Learning Experience Model (ARLEM)
  16. 16. 16 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke New Instructional Design Methods Limbu, B., Fominykh, M., Klemke, R., Specht, M., & Wild, F. (2018). Supporting Training of Expertise with Wearable Technologies: The WEKIT Reference Framework. In Yu, S., Ally, M. & Tsinakos, A. (Eds.), Mobile and Ubiquitous Learning: An International Handbook, Singapore: Springer Singapore, 157–175.
  17. 17. 17 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Immersive Analytics Ralf Klamma, Rizwan Ali, István Koren: Immersive Community Analytics for Wearable Enhanced Learning, HCI International Conference 2019, Florida (Forthcoming)
  18. 18. 18 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Human Activity Recognition Workplace Artificial Intelligence Data integration and aggregation Training
  19. 19. 19 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Guest, Wild, Vovk, Lefrere, Klemke, Fominykh, Kuula (2018): A Technology Acceptance Model for Augmented Reality and Wearable Technologies, In: Journal of Universal Computer Science (JUCS), 24(2):192-219 Technology Acceptance for AR/WT (n=130) New Evaluation Methods for Mixed Reality Solutions
  20. 20. 20 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke WEKIT Consortium
  21. 21. 21 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Perspectives on Wearable Enhanced Learning (WELL)
  22. 22. 22 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Augmented Reality in Formal European University Education  Augmented Reality in Formal European University Education (AR-FOR-EU) – ERASMUS+ Project – 2018-2021 – 5 partner in UK, Norway, Russia and Germany – https://codereality.net
  23. 23. 23 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke AR-FOR-EU Project Goals  Evaluation of training needs in AR  Production and evaluation of higher education AR courses  Integration of computer science, didactic and media aspects  Publication of learning materials – Open Educational Resources – interactive E-books – MOOCs
  24. 24. 24 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Top AR Skills Jesionkowska et al. (2019)
  25. 25. 25 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Open AR Reality Learning Resources https://github.com/klamma/ar-for-eu-book
  26. 26. 26 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke AR-FOR-EU Consortium
  27. 27. 27 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Challenges of Teaching MR  Mixed Reality in higher education – Access to hardware and software – Learning content – Collaboration among disciplines  Technical challenges – Numerous incompatible frameworks – Interface problems  Computer science education – General lack of computer scientists in all areas – Interdisciplinary approaches needed
  28. 28. 28 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Challenges and Solutions Challenges Approaches Humanc activity recognition, long-term motivation Immersive Learning Analytics, Gamification, Learner design and modeling Single Sign-On mit OpenID Connect Proprietary learning content Standardisation of exchange format for learning content and Open Educational Resources Proprietary software development kits and hardware Open Source Development Web Development Scaling and user requirements Open Innovation through Maker Communities and Start-ups Participatory Design, Co-Design Lack of MR workforce Strengthen International Cooperation Open Educational Resources
  29. 29. 29 Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Summary  Huge potential for new learning contexts with AR  Standards and open educational content have an important role  Implementation depends on our capabilities to educate enough interdisciplinary working computer scientists

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