Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition

Michal Slupczynski; Khaleel Asyraaf Mat Sanusi; Daniel Majonica; Roland Klemke; Stefan Decker

Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition

Michal Slupczynski^*, Khaleel Asyraaf Mat Sanusi, Daniel Majonica, Roland Klemke, Stefan Decker

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

Abstract

Personalized feedback in psychomotor training often involves the use of sophisticated Machine Learning (ML)-based algorithms, requiring the utilization of cloud-based computational power for efficiency and scalability. By incorporating a cloud-based feedback system, learners may receive individualized feedback on their psychomotor performance in real-time or as summative analysis, allowing them to develop their abilities more efficiently. The integration of a cloud-based feedback mechanism into immersive learning environments is explored to improve the acquisition of psychomotor abilities. The essential components of the feedback system are discussed in this article, including data collection, analysis, and dissemination, as well as the obstacles and issues related to its implementation.

Original language	English
Title of host publication	Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems
Subtitle of host publication	At the Eighteenth European Conference on Technology Enhanced Learning
Editors	Khaleel Asyraaf Mat Sanusi, Bibeg Limbu, Jan Schneider, Miloš Kravčík, Roland Klemke
Publisher	CEUR-WS
Pages	36-43
Number of pages	8
Volume	3499
Publication status	Published - 2023
Externally published	Yes
Event	3rd International Workshop on Multimodal Immersive Learning Systems, MILeS 2023 - Aveiro, Portugal Duration: 4 Sept 2023 → 8 Sept 2023 https://milki-psy.de/miles-workshop-2023/

Publication series

Series	CEUR Workshop Proceedings
Volume	3499
ISSN	1613-0073

Workshop

Workshop	3rd International Workshop on Multimodal Immersive Learning Systems, MILeS 2023
Country/Territory	Portugal
City	Aveiro
Period	4/09/23 → 8/09/23
Internet address	https://milki-psy.de/miles-workshop-2023/

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https://ceur-ws.org/Vol-3499/paper5.pdfLicence: CC BY

Cite this

Slupczynski, M., Sanusi, K. A. M., Majonica, D., Klemke, R., & Decker, S. (2023). Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition. In K. Asyraaf Mat Sanusi, B. Limbu, J. Schneider, M. Kravčík, & R. Klemke (Eds.), Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems: At the Eighteenth European Conference on Technology Enhanced Learning (Vol. 3499, pp. 36-43). CEUR-WS. https://ceur-ws.org/Vol-3499/paper5.pdf

Slupczynski, Michal ; Sanusi, Khaleel Asyraaf Mat ; Majonica, Daniel et al. / Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition. Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems: At the Eighteenth European Conference on Technology Enhanced Learning. editor / Khaleel Asyraaf Mat Sanusi ; Bibeg Limbu ; Jan Schneider ; Miloš Kravčík ; Roland Klemke. Vol. 3499 CEUR-WS, 2023. pp. 36-43 (CEUR Workshop Proceedings, Vol. 3499).

@inproceedings{886db610f6b24063bcdbce1ac4c739ac,

title = "Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition",

abstract = "Personalized feedback in psychomotor training often involves the use of sophisticated Machine Learning (ML)-based algorithms, requiring the utilization of cloud-based computational power for efficiency and scalability. By incorporating a cloud-based feedback system, learners may receive individualized feedback on their psychomotor performance in real-time or as summative analysis, allowing them to develop their abilities more efficiently. The integration of a cloud-based feedback mechanism into immersive learning environments is explored to improve the acquisition of psychomotor abilities. The essential components of the feedback system are discussed in this article, including data collection, analysis, and dissemination, as well as the obstacles and issues related to its implementation.",

author = "Michal Slupczynski and Sanusi, {Khaleel Asyraaf Mat} and Daniel Majonica and Roland Klemke and Stefan Decker",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; 3rd International Workshop on Multimodal Immersive Learning Systems, MILeS 2023 ; Conference date: 04-09-2023 Through 08-09-2023",

year = "2023",

language = "English",

volume = "3499",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

pages = "36--43",

editor = "{Asyraaf Mat Sanusi}, Khaleel and Bibeg Limbu and Jan Schneider and Milo{\v s} Krav{\v c}{\'i}k and Roland Klemke",

booktitle = "Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems",

url = "https://milki-psy.de/miles-workshop-2023/",

}

Slupczynski, M, Sanusi, KAM , Majonica, D , Klemke, R & Decker, S 2023, Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition. in K Asyraaf Mat Sanusi, B Limbu, J Schneider, M Kravčík & R Klemke (eds), Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems: At the Eighteenth European Conference on Technology Enhanced Learning. vol. 3499, CEUR-WS, CEUR Workshop Proceedings, vol. 3499, pp. 36-43, 3rd International Workshop on Multimodal Immersive Learning Systems, MILeS 2023, Aveiro, Portugal, 4/09/23. <https://ceur-ws.org/Vol-3499/paper5.pdf>

Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition. / Slupczynski, Michal; Sanusi, Khaleel Asyraaf Mat ; Majonica, Daniel et al.
Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems: At the Eighteenth European Conference on Technology Enhanced Learning. ed. / Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Miloš Kravčík; Roland Klemke. Vol. 3499 CEUR-WS, 2023. p. 36-43 (CEUR Workshop Proceedings, Vol. 3499).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

TY - GEN

T1 - Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition

AU - Slupczynski, Michal

AU - Sanusi, Khaleel Asyraaf Mat

AU - Majonica, Daniel

AU - Klemke, Roland

AU - Decker, Stefan

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2023

Y1 - 2023

N2 - Personalized feedback in psychomotor training often involves the use of sophisticated Machine Learning (ML)-based algorithms, requiring the utilization of cloud-based computational power for efficiency and scalability. By incorporating a cloud-based feedback system, learners may receive individualized feedback on their psychomotor performance in real-time or as summative analysis, allowing them to develop their abilities more efficiently. The integration of a cloud-based feedback mechanism into immersive learning environments is explored to improve the acquisition of psychomotor abilities. The essential components of the feedback system are discussed in this article, including data collection, analysis, and dissemination, as well as the obstacles and issues related to its implementation.

AB - Personalized feedback in psychomotor training often involves the use of sophisticated Machine Learning (ML)-based algorithms, requiring the utilization of cloud-based computational power for efficiency and scalability. By incorporating a cloud-based feedback system, learners may receive individualized feedback on their psychomotor performance in real-time or as summative analysis, allowing them to develop their abilities more efficiently. The integration of a cloud-based feedback mechanism into immersive learning environments is explored to improve the acquisition of psychomotor abilities. The essential components of the feedback system are discussed in this article, including data collection, analysis, and dissemination, as well as the obstacles and issues related to its implementation.

M3 - Conference Article in proceeding

VL - 3499

T3 - CEUR Workshop Proceedings

SP - 36

EP - 43

BT - Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems

A2 - Asyraaf Mat Sanusi, Khaleel

A2 - Limbu, Bibeg

A2 - Schneider, Jan

A2 - Kravčík, Miloš

A2 - Klemke, Roland

PB - CEUR-WS

T2 - 3rd International Workshop on Multimodal Immersive Learning Systems, MILeS 2023

Y2 - 4 September 2023 through 8 September 2023

ER -

Slupczynski M, Sanusi KAM , Majonica D , Klemke R, Decker S. Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition. In Asyraaf Mat Sanusi K, Limbu B, Schneider J, Kravčík M, Klemke R, editors, Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems: At the Eighteenth European Conference on Technology Enhanced Learning. Vol. 3499. CEUR-WS. 2023. p. 36-43. (CEUR Workshop Proceedings, Vol. 3499).

Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition

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