Encouraging contributions in Learning Networks using incentive mechanisms

Hans Hummel*, Daniel Burgos, Colin Tattersall, Francis Brouns, Hub Kurvers, Rob Koper

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    45 Downloads (Pure)


    We investigate incentive mechanisms to increase active participation in Learning Networks. The Learning Network under study is LN4LD, a Learning Network for the exchange of information about the IMS Learning Design specification. We examine how to encourage learners in LN4LD to contribute their knowledge, and whether incentive mechanisms can increase the level of active participation. We describe an incentive mechanism based on constructivist principles and Social Exchange Theory, and experimentation using the mechanism designed to increase the level of active participation. The incentive mechanism allows individual learners to gain personal access to additional information through the accumulation of points earned by making contributions. Repeated measurements according to a simple interrupted time series with removal design show that the level of participation was indeed increased by the introduction of the reward system. It can therefore be considered worthwhile to use incentive mechanisms in Learning Networks.
    Original languageEnglish
    Pages (from-to)355-365
    Number of pages11
    JournalJournal of Computer Assisted Learning
    Issue number5
    Publication statusPublished - Oct 2005


    • Participation
    • Learning Design
    • Learning Networks
    • Incentive Mechanisms


    Dive into the research topics of 'Encouraging contributions in Learning Networks using incentive mechanisms'. Together they form a unique fingerprint.

    Cite this