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Vol-2979
urn:nbn:de:0074-2979-8
Copyright © 2021 for
the individual papers by the papers' authors.
Copyright © 2021 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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MILeS 2021
Multimodal Immersive Learning Systems 2021
Proceedings of the First International Workshop on Multimodal Immersive Learning Systems (MILeS 2021)
At the Sixteenth European Conference on Technology Enhanced Learning: Technology-Enhanced Learning for a Free, Safe, and Sustainable World.
(EC-TEL 2021)
Online (Bozen-Bolzano, Italy), September 20-24, 2021.
Edited by
*
TH Köln,
Cologne Game Lab, 51063 Köln, Germany
**
Open University of the Netherlands,
Technology-enhanced Learning & Innovation, 6419 AT Heerlen, Netherlands
***
TH Köln,
Institute of Product Development and Engineering Design, 50679 Köln, Germany
****
DIPF,
Leibniz Institute for Research and Information in Education, 60323 Frankfurt, Germany
*****
DFKI,
German Research Center for Artificial Intelligence, 10559 Berlin, Germany
******
RWTH Aachen University,
Information Systems & Databases, 52056 Aachen, Germany
*******
DSHS,
German Sport University Cologne, 50933 Köln, Germany
Table of Contents
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Preface
Summary: There were 9 papers submitted for peer-review to this workshop. Out of these,
8 papers were accepted for this volume,
8 as regular papers.
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Teaching psychomotor skills using machine learning for error detection
8-14
Bejamin Paaßen,
Miloš Kravčík
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Multimodal Immersive Learning with Artificial Intelligence for Robot and Running application cases
15-21
Fernando P. Cardenas-Hernandez,
Gianluca Romano,
Hendrik Drachsler
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MILKI-PSY Cloud: Facilitating multimodal learning analytics by explainable AI and blockchain
22-28
Michal Slupczynski,
Ralf Klamma
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HoloLearn: Using holograms to support naturalistic interaction in virtual classrooms
29-36
Tristan Quin,
Bibeg Limbu,
Michel Beerens,
Marcus Specht
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WIP: Development of a design framework for the provision of multimodal content in an AR-based training system for the acquisition of psychomotor skills
37-45
Tobias Keller,
Valérie Varney,
Anja Richert
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Expert Distribution Similarity Model: Feedback methodology for non-imitation based handwriting practice.
46-52
Olivier Dikken,
Bibeg Limbu,
Marcus Specht
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Immersive training environments for psychomotor skills development: A student driven prototype development approach
53-58
Khaleel Asyraaf Mat Sanusi,
Daniel Majonica,
Lukas Künz,
Roland Klemke
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Real-time visual feedback on sports performance in an immersive training environment: Presentation of a study concept
59-63
Mai Geisen,
Tobias Baumgartner,
Nina Riedl,
Stefanie Klatt
2021-10-05: submitted by Khaleel Asyraaf Mat Sanusi,
metadata incl. bibliographic data published under Creative Commons CC0
2021-10-13: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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