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International Conference on Web-Based Learning

ICWL 2016: Advances in Web-Based Learning – ICWL 2016 pp 225–235Cite as

A Multiple Constraints Framework for Collaborative Learning Flow Orchestration

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10013))

Abstract

Collaborative Learning Flow Patterns (e.g., Jigsaw) offer sound pedagogical strategies to foster fruitful social interactions among learners. The pedagogy behind the patterns involves a set of intrinsic constraints that need to be considered when orchestrating the learning flow. These constraints relate to the organization of the flow (e.g., Jigsaw pattern - a global problem is divided into sub-problems and a constraint is that there need to be at least one expert group working on each sub-problem) and group formation policies (e.g., groups solving the global problem need to have at least one member coming from a different previous expert group). Besides, characteristics of specific learning situations such as learners’ profile and technological tools used provide additional parameters that can be considered as context-related extrinsic constraints relevant to the orchestration (e.g., heterogeneous groups depending on experience or interests). This paper proposes a constraint framework that considers different constraints for orchestration services enabling adaptive computation of orchestration aspects. Substantiation of the framework with a case study demonstrated the feasibility, usefulness and the expressiveness of the framework.

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Acknowledgements.

Special thanks to participants from Escola de Santboi, Spain. This work has been partially funded by the Spanish Ministry of Economy and Competitiveness (TIN2014-53199-C3-3-R; MDM-2015-0502).

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Authors and Affiliations

  1. ICT Department, Universitat Pompeu Fabra, Barcelona, Spain

    Kalpani Manathunga & Davinia Hernández-Leo

Authors
  1. Kalpani Manathunga
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  2. Davinia Hernández-Leo
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Corresponding author

Correspondence to Kalpani Manathunga .

Editor information

Editors and Affiliations

  1. University of Hong Kong, Hong Kong, Hong Kong

    Dickson K.W. Chiu

  2. Leibniz University of Hanover, Hannover, Germany

    Ivana Marenzi

  3. Sapienza University of Rome, Rome, Italy

    Umberto Nanni

  4. University of Caen Basse-Normandie, Caen, France

    Marc Spaniol

  5. Sapienza University of Rome, Rome, Italy

    Marco Temperini

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© 2016 Springer International Publishing AG

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Manathunga, K., Hernández-Leo, D. (2016). A Multiple Constraints Framework for Collaborative Learning Flow Orchestration. In: Chiu, D., Marenzi, I., Nanni, U., Spaniol, M., Temperini, M. (eds) Advances in Web-Based Learning – ICWL 2016. ICWL 2016. Lecture Notes in Computer Science(), vol 10013. Springer, Cham. https://doi.org/10.1007/978-3-319-47440-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-47440-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47439-7

  • Online ISBN: 978-3-319-47440-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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