Bayesian networks for team role detection in CSCL

JOSÉ MARÍA BALMACEDA; SILVIA SCHIAFFINO; DANIELA GODOY,

San Juan

Congreso; Congreso Internacional de Ambientes Virtuales de Aprendizaje Adaptativos y Accesibles, CAVA 2013; 2013

Computer-supported collaborative learning allows students who are in different places to work together in the same virtual space, and supports the communication of ideas and information among learners. However, as not all students are identical, it is important to study users? characteristics to build more productive teams. Team Roles Theory allows obtaining very good team performance taking into account individual skills, combining the weaknesses of each role with the strengths of others. Originally, people have to complete extensive questionnaires to determine their team role. In this work we propose an alternative method to make this detection through a collaborative learning system and by using a Bayesian Network.