Teamwork is a critical competence in the higher education area, and it has become a critical task in educational and management environments. Unfortunately, looking for optimal or near optimal teams is a costly task for humans due to the exponential number of outcomes. In this paper, we present a web application that facilitates the task of automatic team generation of near optimal teams based on collective intelligence, coalition structure generation, and Bayesian learning. This tool has been used in real classroom scenario and the data collected from the experience has been used as input for synthetic simulations. The experiments show that the tool is able of converging towards the optimal solution (team formation) as long as students do not have great difficulties evaluating others.
|Title of host publication||Trends in Practical Applications of Heterogeneous Multi-Agent Systems|
|Editors||Javier Bajo Perez, Juan M. Corchado Rodríguez, Philippe Mathieu, Andrew Campbell, Alfonso Ortega, Emmanuel Adam, Elena M. Navarro, Sebastian Ahrndt, Maria N. Moreno, Vicente Julian|
|Place of Publication||Cham|
|Number of pages||9|
|Publication status||Published - 2014|
|Name||Advances in Intelligent Systems and Computing|
- Team formation