Title :
Clustering learners according to their collaboration
Author :
Anaya, Antonio R. ; Boticario, Jesús G.
Author_Institution :
E.T.S.I.I., Ciudad Univ., Madrid
Abstract :
When students are responsible for their own collaborative learning process, they need information on collaboration to manage the process. We note that collaborative environments fail to provide users with information on the collaboration process. This research proposes an open collaborative learning experience design that provides learners with an environment where they can manage the collaboration. The design provides information on collaboration to improve management. An inferring method, which uses statistical indicators of student interaction in forums and data mining technology, works to obtain information on student collaboration and groups students according to their level of collaboration. This information will be shown to students and tutors to improve the learning process and its management.
Keywords :
computer aided instruction; data mining; groupware; pattern clustering; statistical analysis; collaborative learning process; data mining technology; e-learning; inferring method; statistical indicator; student interaction; Artificial intelligence; Clustering algorithms; Collaborative tools; Collaborative work; Conference management; Data mining; Electronic learning; Environmental management; International collaboration; Process design; Collaboration Analysis; Data Mining; E-Learning;
Conference_Titel :
Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on
Conference_Location :
Santiago
Print_ISBN :
978-1-4244-3534-0
Electronic_ISBN :
978-1-4244-3535-7
DOI :
10.1109/CSCWD.2009.4968115