Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

Rethinking MMLA : Design Considerations for Multimodal Learning Analytics Systems. / Ouhaichi, Hamza; Spikol, Daniel; Vogel, Bahtijar.

L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale. Association for Computing Machinery, 2023. s. 354-359 (L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Ouhaichi, H, Spikol, D & Vogel, B 2023, Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems. i L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale. Association for Computing Machinery, L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale, s. 354-359, 10th ACM Conference on Learning @ Scale, L@S 2023, Copenhagen, Danmark, 20/07/2023. https://doi.org/10.1145/3573051.3596186

APA

Ouhaichi, H., Spikol, D., & Vogel, B. (2023). Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems. I L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale (s. 354-359). Association for Computing Machinery. L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale https://doi.org/10.1145/3573051.3596186

Vancouver

Ouhaichi H, Spikol D, Vogel B. Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems. I L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale. Association for Computing Machinery. 2023. s. 354-359. (L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale). https://doi.org/10.1145/3573051.3596186

Author

Ouhaichi, Hamza ; Spikol, Daniel ; Vogel, Bahtijar. / Rethinking MMLA : Design Considerations for Multimodal Learning Analytics Systems. L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale. Association for Computing Machinery, 2023. s. 354-359 (L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale).

Bibtex

@inproceedings{816038a994e0468ab88645bcd3bf1a42,
title = "Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems",
abstract = "Designing MMLA systems is a complex task requiring a wide range of considerations. In this paper, we identify key considerations that are essential for designing MMLA systems. These considerations include data management, human factors, sensors and modalities, learning scenarios, privacy and ethics, interpretation and feedback, and data collection. The implications of these considerations are twofold: 1) The need for flexibility in MMLA systems to adapt to different learning contexts and scales, and 2) The need for a researcher-centered approach to designing MMLA systems. Unfortunately, the sheer number of considerations can lead to a state of {"}analysis paralysis,{"}where deciding where to begin and how to proceed becomes overwhelming. This synthesis paper asks researchers to rethink the design of MMLA systems and aims to provide guidance for developers and practitioners in the field of MMLA.",
keywords = "internet of things, multimodal learning analytics, scalability, system design",
author = "Hamza Ouhaichi and Daniel Spikol and Bahtijar Vogel",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 10th ACM Conference on Learning @ Scale, L@S 2023 ; Conference date: 20-07-2023 Through 22-07-2023",
year = "2023",
doi = "10.1145/3573051.3596186",
language = "English",
series = "L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale",
pages = "354--359",
booktitle = "L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale",
publisher = "Association for Computing Machinery",

}

RIS

TY - GEN

T1 - Rethinking MMLA

T2 - 10th ACM Conference on Learning @ Scale, L@S 2023

AU - Ouhaichi, Hamza

AU - Spikol, Daniel

AU - Vogel, Bahtijar

N1 - Publisher Copyright: © 2023 Owner/Author.

PY - 2023

Y1 - 2023

N2 - Designing MMLA systems is a complex task requiring a wide range of considerations. In this paper, we identify key considerations that are essential for designing MMLA systems. These considerations include data management, human factors, sensors and modalities, learning scenarios, privacy and ethics, interpretation and feedback, and data collection. The implications of these considerations are twofold: 1) The need for flexibility in MMLA systems to adapt to different learning contexts and scales, and 2) The need for a researcher-centered approach to designing MMLA systems. Unfortunately, the sheer number of considerations can lead to a state of "analysis paralysis,"where deciding where to begin and how to proceed becomes overwhelming. This synthesis paper asks researchers to rethink the design of MMLA systems and aims to provide guidance for developers and practitioners in the field of MMLA.

AB - Designing MMLA systems is a complex task requiring a wide range of considerations. In this paper, we identify key considerations that are essential for designing MMLA systems. These considerations include data management, human factors, sensors and modalities, learning scenarios, privacy and ethics, interpretation and feedback, and data collection. The implications of these considerations are twofold: 1) The need for flexibility in MMLA systems to adapt to different learning contexts and scales, and 2) The need for a researcher-centered approach to designing MMLA systems. Unfortunately, the sheer number of considerations can lead to a state of "analysis paralysis,"where deciding where to begin and how to proceed becomes overwhelming. This synthesis paper asks researchers to rethink the design of MMLA systems and aims to provide guidance for developers and practitioners in the field of MMLA.

KW - internet of things

KW - multimodal learning analytics

KW - scalability

KW - system design

U2 - 10.1145/3573051.3596186

DO - 10.1145/3573051.3596186

M3 - Article in proceedings

AN - SCOPUS:85167870433

T3 - L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale

SP - 354

EP - 359

BT - L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale

PB - Association for Computing Machinery

Y2 - 20 July 2023 through 22 July 2023

ER -

ID: 390397237