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  • P273 - DeLFI 2017 - Die 15. e-Learning Fachtagung Informatik
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Recomposing Small Learning Groups at Scale—A Data-driven Approach and a Simulation Experiment

Author:
Zheng, Zhilin [DBLP] ;
Pinkwart, Niels [DBLP]
Abstract
Group re-composition has thus far been rarely studied. The recent emergence of large scale online learning contexts (e.g. MOOCs) might bring about an opportunity for its application due to the reported high drop-out rate. In this paper, we propose a novel data-driven approach to address the problem of group re-composition. Through a simulation experiment, we saw its capability in decreasing the drop-out rate in groups and bringing more cohesive groups when compared against a random grouping strategy.
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Zheng, Z. & Pinkwart, N., (2017). Recomposing Small Learning Groups at Scale—A Data-driven Approach and a Simulation Experiment. In: Igel, C., Ullrich, C. & , . (Hrsg.), Bildungsräume 2017. Gesellschaft für Informatik, Bonn. (S. 321-332).
@inproceedings{mci/Zheng2017,
author = {Zheng, Zhilin AND Pinkwart, Niels},
title = {Recomposing Small Learning Groups at Scale—A Data-driven Approach and a Simulation Experiment},
booktitle = {Bildungsräume 2017},
year = {2017},
editor = {Igel, Christoph AND Ullrich, Carsten AND Wessner Martin} ,
pages = { 321-332 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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More Info

ISBN: 978-3-88579-667-1
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2017
Language: en (en)

Keywords

  • Group Formation
  • Group Re-composition
  • Group Dynamics
  • MOOC
  • Learning Analytics.
Collections
  • DeLFI 2017 [53]
  • P273 - DeLFI 2017 - Die 15. e-Learning Fachtagung Informatik [53]

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.