Multimodal Data Analytics for Assessing Collaborative Interactions

Publication Title

Computer-Supported Collaborative Learning Conference, CSCL

ISSN

15734552

E-ISSN

43983

ISBN

9781732467293

Document Type

Conference Proceeding

Abstract

This symposium will discuss the current status of the research and development of multimodal data analytics (MDA) for the observation of collaboration. Five research groups will present their current work on MDA, each with a unique focus on different data sources and different approaches to the analysis and synthesis of multimodal data sets. A few themes emerge from these studies: i) the studies seek to examine collaborative behaviors as a process in ordinary settings, both formal and informal; ii) with MDA being in its early stage, manual and computational approaches are taken complementarily, also using human annotation as the ground truth for the computational approach; and iii) several different discipline-specific research and development lines contribute integrally to generating authentic measures of collaborative interactions in situ, making this line of research transdisciplinary.

First Page

2547

Last Page

2554

Publication Date

1-1-2020

Department

Department of Educational Technology, Research and Assessment (ETRA); Department of Mechanical Engineering; Department of Electrical Engineering; Other; Department of Industrial and Systems Engineering

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