Multimodal learning analytics data challenges

Xavier Ochoa, Nadir Weibel, Marcelo Worsley, Sharon Oviatt

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

Abstract

This is a proposal for organizing a Multimodal Learning An- Alytics (MLA) data challenge as part of the workshop offering of the Learning Analytics and Knowledge (LAK) conference. It explains the motivation of the event, its objectives, target groups, expected format, organization, dissemination strategy and schedule.

Original languageEnglish (US)
Title of host publicationLAK 2016 Conference Proceedings, 6th International Learning Analytics and Knowledge Conference - Enhancing Impact
Subtitle of host publicationConvergence of Communities for Grounding, Implementation, and Validation
PublisherAssociation for Computing Machinery
Pages498-499
Number of pages2
ISBN (Electronic)9781450341905
DOIs
StatePublished - Apr 25 2016
Event6th International Conference on Learning Analytics and Knowledge, LAK 2016 - Edinburgh, United Kingdom
Duration: Apr 25 2016Apr 29 2016

Publication series

NameACM International Conference Proceeding Series
Volume25-29-April-2016

Other

Other6th International Conference on Learning Analytics and Knowledge, LAK 2016
CountryUnited Kingdom
CityEdinburgh
Period4/25/164/29/16

Keywords

  • Data challenge
  • Multimodal
  • Multimodal datasets

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Ochoa, X., Weibel, N., Worsley, M., & Oviatt, S. (2016). Multimodal learning analytics data challenges. In LAK 2016 Conference Proceedings, 6th International Learning Analytics and Knowledge Conference - Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation (pp. 498-499). (ACM International Conference Proceeding Series; Vol. 25-29-April-2016). Association for Computing Machinery. https://doi.org/10.1145/2883851.2883913