ICMI 2013 Grand Challenge Workshop on Multimodal Learning Analytics

Louis Philippe Morency, Sharon Oviatt, Stefan Scherer, Nadir Weibel, Marcelo Worsley

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

15 Scopus citations

Abstract

Advances in learning analytics are contributing new empirical findings, theories, methods, and metrics for understanding how students learn. It also contributes to improving pedagogical support for students' learning through assessment of new digital tools, teaching strategies, and curricula. Multimodal learning analytics (MMLA) [1] is an extension of learning analytics and emphasizes the analysis of natural rich modalities of communication across a variety of learning contexts. This MMLA Grand Challenge combines expertise from the learning sciences and machine learning in order to highlight the rich opportunities that exist at the intersection of these disciplines. As part of the Grand Challenge, researchers were asked to predict: (1) which student in a group was the dominant domain expert, and (2) which problems that the group worked on would be solved correctly or not. Analyses were based on a combination of speech, digital pen and video data. This paper describes the motivation for the grand challenge, the publicly available data resources and results reported by the challenge participants. The results demonstrate that multimodal prediction of the challenge goals: (1) is surprisingly reliable using rich multimodal data sources, (2) can be accomplished using any of the three modalities explored, and (3) need not be based on content analysis.

Original languageEnglish (US)
Title of host publicationICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction
Pages373-377
Number of pages5
DOIs
StatePublished - Dec 1 2013
Event2013 15th ACM International Conference on Multimodal Interaction, ICMI 2013 - Sydney, NSW, Australia
Duration: Dec 9 2013Dec 13 2013

Publication series

NameICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction

Other

Other2013 15th ACM International Conference on Multimodal Interaction, ICMI 2013
Country/TerritoryAustralia
CitySydney, NSW
Period12/9/1312/13/13

Keywords

  • collaboration
  • domain expertise
  • empirical and machine learning techniques
  • multimodal learning analytics
  • predictive data and models

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

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