The big five

Addressing recurrent multimodal learning data challenges

Journal article (2018)

Authors

Daniele Di Mitri Open University of the Netherlands
M.M. Specht Open University of the Netherlands
Hendrik Drachsler Open University of the Netherlands
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Published Date

2018

Language

English

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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.