| 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).

# 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

### Roland Klemke *, **
Khaleel Asyraaf Mat Sanusi *
Daniel Majonica *
Anja Richert ***
Valérie Varney ***
Tobias Keller ***
Jan Schneider ****
Daniele Di Mitri ****
George-Petru Ciordas-Hertel ****
Fernando P. Cardenas-Hernandez ****
Gianluca Romano ****
Miloš Kravčík *****
Benjamin Paaßen *****
Ralf Klamma ******
Michal Slupczynski ******
Stefanie Klatt *******
Mai Geisen *******
Tobias Baumgartner *******
Nina Riedl *******

* 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

- 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.

- Teaching psychomotor skills using machine learning for error detection 8-14
  Bejamin Paaßen, Miloš Kravčík
- Multimodal Immersive Learning with Artificial Intelligence for Robot and Running application cases 15-21
  Fernando P. Cardenas-Hernandez, Gianluca Romano, Hendrik Drachsler
- MILKI-PSY Cloud: Facilitating multimodal learning analytics by explainable AI and blockchain 22-28
  Michal Slupczynski, Ralf Klamma
- HoloLearn: Using holograms to support naturalistic interaction in virtual classrooms 29-36
  Tristan Quin, Bibeg Limbu, Michel Beerens, Marcus Specht
- 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
- Expert Distribution Similarity Model: Feedback methodology for non-imitation based handwriting practice. 46-52
  Olivier Dikken, Bibeg Limbu, Marcus Specht
- 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
- 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) |valid HTML5|