Multimodal learning analytics as a tool for bridging learning theory and complex learning behaviors

Marcelo Worsley*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

The recent emergence of several low-cost, high resolution, multimodal sensors has greatly facilitated the ability for researchers to capture a wealth of data across a variety of contexts. Over the past few years, this multimodal technology has begun to receive greater attention within the learning community. Specifically, the Multimodal Learning Analytics community has been capitalizing on new sensor technology, as well as the expansion of tools for supporting computational analysis, in order to better understand and improve student learning in complex learning environments. However, even as the data collection and analysis tools have greatly eased the process, there remain a number of considerations and challenges in framing research in such a way that it lends to the development of learning theory. Moreover, there are a multitude of approaches that can be used for integrating multimodal data, and each approach has different assumptions and implications. In this paper, I describe three different types of multimodal analyses, and discuss how decisions about data integration and fusion have a significant impact on how the research relates to learning theories.

Original languageEnglish (US)
Title of host publicationMLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014
PublisherAssociation for Computing Machinery, Inc
Pages1-4
Number of pages4
ISBN (Electronic)9781450304887
DOIs
StatePublished - Jan 1 2014
Event3rd Multimodal Learning Analytics Workshop and Grand Challenges, MLA 2014 - Istanbul, Turkey
Duration: Nov 12 2014Nov 12 2014

Other

Other3rd Multimodal Learning Analytics Workshop and Grand Challenges, MLA 2014
CountryTurkey
CityIstanbul
Period11/12/1411/12/14

Keywords

  • Cognition
  • Constructionism
  • Learning Sciences

ASJC Scopus subject areas

  • Computer Science Applications
  • Education

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  • Cite this

    Worsley, M. (2014). Multimodal learning analytics as a tool for bridging learning theory and complex learning behaviors. In MLA 2014 - Proceedings of the 2014 ACM Multimodal Learning Analytics Workshop and Grand Challenge, Co-located with ICMI 2014 (pp. 1-4). Association for Computing Machinery, Inc. https://doi.org/10.1145/2666633.2666634