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Multimodal Learning Hub: A Tool for Capturing Customizable Multimodal Learning Experiences

  • Jan SchneiderEmail author
  • Daniele Di Mitri
  • Bibeg Limbu
  • Hendrik Drachsler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11082)

Abstract

Studies in Learning Analytics provide concrete examples of how the analysis of direct interactions with learning management systems can be used to optimize and understand the learning process. Learning, however, does not necessarily only occur when the learner is directly interacting with such systems. With the use of sensors, it is possible to collect data from learners and their environment ubiquitously, therefore expanding the use cases of Learning Analytics. For this reason, we developed the Multimodal Learning Hub (MLH), a system designed to enhance learning in ubiquitous learning scenarios, by collecting and integrating multimodal data from customizable configurations of ubiquitous data providers. In this paper, we describe the MLH and report on the results of tests where we explored its reliability to integrate multimodal data.

Keywords

Multimodal Learning Analytics Sensor-based learning System design 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Jan Schneider
    • 1
    Email author
  • Daniele Di Mitri
    • 2
  • Bibeg Limbu
    • 2
  • Hendrik Drachsler
    • 1
  1. 1.DIPFFrankfurt am MainGermany
  2. 2.Welten InstituteOpen University of the NetherlandsHeerlenThe Netherlands

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