You solve, I learn: A novel approach to e-learning in collaborative crowdsourcing
Gualtiero Fantoni, Riccardo Apreda, Donata Gabelloni, Gabriele Montelisciani · 2012
In collaborative crowdsourcing, the problem of maintaining solvers' motivation and participation plays a crucial role. It has been noticed that one of the major issues is related to the scarce capacity of novices to face expert users in finding good solutions, which leads to an high rate of community abandonment. In order to overcome such a problem the best solvers should be asked to illustrate the rationale of their solutions and to share the adopted heuristics before receiving the award. This procedure allows the less expert to learn by doing and see how best solvers innovate products. The paper presents the “You solve, I learn” approach and how it has been implemented in an original platform able to promote innovation, creativity and effective knowledge sharing. The software use and achieved results are demonstrated through a case study.