Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/124946
Título : Enabling automatic just-in-time evaluation of in-class discussions in on-line collaborative learning practices
Autoría: Caballé, Santi  
Lapedriza, Agata  
Masip Rodó, David  
XHAFA, FATOS  
Abraham, Ajith
Otros: Universitat Oberta de Catalunya (UOC)
Universitat Politècnica de Catalunya (UPC)
Norwegian University of Science and Technology
Citación : Caballé, S., Lapedriza, A., Masip, D., Xhafa, F. & Abraham, A. (2009). Enabling Automatic Just-in-time Evaluation of In-class Discussions in On-line Collaborative Learning Practices. Journal of Digital Information Management, 7(5), 290-297.
Resumen : Learning by discussion when applied to on-line collaborative learning settings can provide signifi cant benefits for students in education in general. Indeed, the discussion process plays an important social task in collaborative learning practices. Participants can discuss about the activity being performed, collaborate with each other through the exchange of ideas that may arise, propose new resolution mechanisms, justify and refi ne their own contributions, and as a result, acquire new knowledge. Considering these benefits, current educational organizations incorporate on-line discussions into web-based courses as part of the very rationale of their pedagogical models. However, in-class collaborative assignments are usually greatly participated and contributed, which makes the monitoring and assessment tasks by tutors and moderators time-consuming, tedious and error-prone. Specially hard if not impossible by human tutors is to manually deal with the sequences of hundreds of contributions making up the discussion threads and the relations between these contributions. Consequently, tutoring tasks during on-line discussions usually restrict to offer evaluation results of the contributing effort and quality after the collaborative learning activity takes place and thus neglect the essential issue of constantly considering the process of knowledge building while it is still being performed. In this paper, we propose a multidimensional model based on data analysis from online collaborative discussion interactions that provides a first step towards an automatic evaluation in just-in-time fashion. The context of this study is a real on-line discussion experience that took place at the Open University of Catalonia.
Palabras clave : aprendizaje colaborativo
programas de grupo
descubrimiento del conocimiento
evaluación automática
aprendizaje automático
Tipo de documento: info:eu-repo/semantics/article
Versión del documento: info:eu-repo/semantics/publishedVersion
Fecha de publicación : oct-2009
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