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The Group Formation Problem: An Algorithmic Approach to Learning Group Formation

  • Johannes Konert
  • Dmitrij Burlak
  • Ralf Steinmetz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8719)

Abstract

Fostering knowledge exchange among peers is important for learners’ motivation, achievement of learning goals as well as improvement of problem solving competency. Still, the positive effects of such an exchange depend strongly on the suitability of the selected peers in a group.

A comparison of existing algorithmic solutions applicable for E-learning and CSCL scenarios reveals limited support for requirements derived from related work in pedagogical psychology. Therefore, the GroupAL algorithm is proposed. It supports the use of criteria that are either expected to be matched homogeneous or heterogeneous among participants while aiming for equally good group formation for all groups. A normed metric allows for comparison of different group formations and is robust against variations. Finally, the evaluation reveals the advantages and widespread applicability of GroupAL. Compared to existing solutions, it achieves a better group formation quality under the chosen conditions.

Keywords

Learning Group Formation Algorithmic Optimization Matching CSCL 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Johannes Konert
    • 1
  • Dmitrij Burlak
    • 1
  • Ralf Steinmetz
    • 1
  1. 1.Technische Universität DarmstadtGermany

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