The Big Five: Addressing Recurrent Multimodal Learning Data Challenges

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

5 Downloads (Pure)

Abstract

The analysis of multimodal data in learning is a growing field of research, which has led to the development of different analytics solutions. However, there is no standardised approach to handle multimodal data. In this paper, we describe and outline a solution for five recurrent challenges in the analysis of multimodal data: the data collection, storing, annotation, processing and exploitation. For each of these challenges, we envision possible solutions. The prototypes for some of the proposed solutions will be discussed during the Multimodal Challenge of the fourth Learning Analytics & Knowledge Hackathon, a two-day hands-on workshop in which the authors will open up the prototypes for trials, validation and feedback.
Original languageEnglish
Title of host publicationCompanion Proceedings of the 8th International Conference on Learning Analytics and Knowledge
Subtitle of host publicationTowards User-Centred Learning Analytics
Place of PublicationSyndey, Australia
PublisherSoLAR
Pages420-424
Number of pages5
Publication statusPublished - Mar 2018
EventThe 8th International Learning Analytics & Knowledge Conference - SMC Conference & Function Centre, Sydney, Australia
Duration: 5 Mar 20189 Mar 2018
https://latte-analytics.sydney.edu.au/

Conference

ConferenceThe 8th International Learning Analytics & Knowledge Conference
Abbreviated titleLAK18
CountryAustralia
CitySydney
Period5/03/189/03/18
Internet address

Keywords

  • multimodal learning analytics
  • wearables
  • CrossMMLA
  • sensor-based learning

Cite this

Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2018). The Big Five: Addressing Recurrent Multimodal Learning Data Challenges. In Companion Proceedings of the 8th International Conference on Learning Analytics and Knowledge: Towards User-Centred Learning Analytics (pp. 420-424). SoLAR. https://drive.google.com/file/d/1wN-swZRDiWjf9W4kY25YjA4uyxlWHDcy/view