Context awareness for collaborative learning with uncertainty management

摘要: In Collaborative Learning, groups of students work together using traditional and computer-based tools or applications. Participants are continuously moving reorganizing in as tasks develop the contextual information about physical arrangement people within determines context each sub-activity. The electronic environment needs to be sync with groups, but providing group cannot effectively done manually. This paper explores addresses problem automating awareness CSCL applications by estimating arrangements from location sensors history interaction. We derive case studies requirements for context-awareness collaborative learning, focusing on Jigsaw technique supported mobile devices. our prototype system real users, detected classroom. However, this filtering avoid disturbing interruptions caused uncertain measures. A three- phase strategy is proposed manage identifying sources uncertainty, representing information, determining how proceed. Validation experimental data shows usefulness introducing devices group-supporting that incorporate automatic awareness. Results show managing uncertainty estimation location, membership becomes reliable enough satisfy need supporting learning automatically group-aware, without extra burdens interruptions.