Encouraging contributions in learning networks using incentive mechanisms

Abstract

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. Encouraging participation 4Informed participation for community-based learning and design In addition to improvements in the quality of the learning process, the mutual exchange of information by large numbers of individual learners offers some hope of a solution to the

Computer Science & Information Technology ( CS & IT )

“…Rewards are defined as individuals expectations of achieving implicit outcomes (e.g., personal reputation and relationships with significant others) in return for performing knowledge transfer behaviour [18], [41], [42].…”

“…Soft rewards are defined as individuals expectations of achieving implicit outcomes (e.g., personal reputation and relationships with significant others) in return for performing knowledge transfer behaviour [18], [41], [42]. In addition, soft rewards may make individuals feel implicitly controlled or pressured to perform the behaviour due to the implicit consequences related to the behaviour, and are thus forms of interjected regulations/moderately controlled motivations [43], [44].…”

Design patterns for complex learning

“…Such learning networks expand learning experiences and choice, but require considerable commitment from learners who must actively acquire and contribute knowledge. Researchers recently expressed disappointment at low participation rates and noted evidence of lurking in studied networks (Hummel et al, 2005). …”

Understanding a Nonlinear Causal Relationship Between Rewards and Physicians� Contributions in Online Health Care Communities: Longitudinal Study (Preprint)

“…The importance of member contribution for the sustainable development of online communities has been verified by extensive research [16][17][18]21]. Establishing an effective incentive mechanism is one of the most common ways to maintain community contribution behavior [22][23][24][25][26]. Despite the fact that OHC of practice has been in existence around the world over a decade, very little is known about incentive mechanisms that could foster physicians' willingness to contribute and interact with patients in the OHC.…”