Role of Multimodal Learning Systems in Technology-Enhanced Learning (TEL): A Scoping Review

Yoon Lee*, Bibeg Limbu, Zoltan Rusak, Marcus Specht

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Technology-enhanced learning systems, specifically multimodal learning technologies, use sensors to collect data from multiple modalities to provide personalized learning support beyond traditional learning settings. However, many studies surrounding such multimodal learning systems mostly focus on technical aspects concerning data collection and exploitation and therefore overlook theoretical and instructional design aspects such as feedback design in multimodal settings. This paper explores multimodal learning systems as a critical part of technology-enhanced learning used for capturing and analyzing the learning process to exploit the collected multimodal data to generate feedback in multimodal settings. By investigating various studies, we aim to reveal the roles of multimodality in technology-enhanced learning across various learning domains. Our scoping review outlines the conceptual landscape of multimodal learning systems, identifies potential gaps, and provides new perspectives on adaptive multimodal system design: intertwining learning data for meaningful insights into learning, designing effective feedback, and implementing them in diverse learning domains.

Original languageEnglish
Title of host publicationResponsive and Sustainable Educational Futures - 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, Proceedings
EditorsOlga Viberg, Ioana Jivet, Pedro J. Muñoz-Merino, Maria Perifanou, Tina Papathoma
Place of PublicationCham
Number of pages19
ISBN (Electronic)978-3-031-42682-7
ISBN (Print)978-3-031-42681-0
Publication statusPublished - 2023
EventProceedings of the 18th European Conference on Technology Enhanced Learning, ECTEL 2023 - Aveiro, Portugal
Duration: 4 Sept 20238 Sept 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14200 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceProceedings of the 18th European Conference on Technology Enhanced Learning, ECTEL 2023

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Learning Domains
  • Multimodal Learning Analytics (MMLA)
  • Sensor-based Technology


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