DocumentCode
2089354
Title
NUCLEO: Adaptive Computer Supported Collaborative Learning in a Role Game Based Scenario
Author
Sancho, Pilar ; Fernandez, R.F. ; Manjon, B.F.
Author_Institution
Dept. of Software Eng. & Artificial Intell., Univ. Complutense de Madrid, Madrir
fYear
2008
fDate
1-5 July 2008
Firstpage
671
Lastpage
675
Abstract
This paper presents the adaptation model used in NUCLEO, a pilot e-learning environment that is currently being developed at the Complutense University of Madrid. The NUCLEO system combines two approaches grounded in the constructive pedagogical stream, the Computer Supported Collaborative Learning and the Problem Based Learning, with the engaging and immersive formats of the videogames. It provides a futurist scenario in which students (represented by avatars and organized in small teams) have to collaborate to solve a learning ldquomissionrdquo following the mechanics of a classical role based play. In order to increase the efficiency of the collaborative work and to reduce the teacherpsilas workload, NUCLEO applies user modeling techniques to the studentspsila learning strategies, considering a simplified framework of Vermuntpsilas model for learning styles. The model determines how the system brings together students whose learning strategies are complementary to build up collaborative and semi-autonomous learning teams. Examples from an ongoing study with NUCLEO to teach programming disciplines illustrate the presentation of these adaptation models.
Keywords
computer aided instruction; computer games; distance learning; groupware; NUCLEO; Vermunt model; adaptive computer supported collaborative learning; e-learning; problem based learning; role game based scenario; videogame; Adaptation model; Avatars; Collaboration; Collaborative work; Computer science education; Educational institutions; Electronic learning; Programming profession; Software engineering; Streaming media; adaptation; computer supported collaborative learning; game based learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
Conference_Location
Santander, Cantabria
Print_ISBN
978-0-7695-3167-0
Type
conf
DOI
10.1109/ICALT.2008.147
Filename
4561801
Link To Document