Supporting Occasional Groups in Crowdsourcing Platforms

Contributors to online crowdsourcing systems generally work independently on pieces of a product. Task interdependencies may require collaboration, mostly implicitly, to develop a final product. Even individuals engaged in a group conversation may not stay with the same group for long, i.e., the group is an group. Further, occasional group interactions are often not well supported by the platforms. These factors particularly impact the process of group learning. I plan to develop a model of group learning in occasional groups and to test the model by using it to design a knowledge-based chatbot to improve learning in occasional groups.