DocumentCode :
1782587
Title :
Sagittarius: A tool to enhance the collaboratibe work in virtual learning environments
Author :
Sole-Beteta, Xavi ; Navarro, Joao ; Sancho-Asensio, Andreu ; Zaballos, Agustin ; Jimenez-Ruano, Virginia ; Canaleta, Xavi ; Vernet, David
Author_Institution :
Dept. of Eng., La Salle - Univ. Ramon Llull, Barcelona, Spain
fYear :
2014
fDate :
18-21 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
Online teaching courses are becoming an appealing alternative to traditional in-class learning methods, therefore driving practitioners to explore new strategies for delivering contents to an overwhelming number of students. Nevertheless, migrating face-to-face learning methodologies to an online teaching environment is certainly challenging. More specifically, collaborative work, which provides valuable learning outcomes in classroom-based environments, is apparently unable to meet the online paradigm due to its intrinsic specificities: widely heterogeneous profiles, considerably large numbers of subscribers, scarcely balanced and doubtfully relevant feedback concerning students´ progress, and poorly conducted personal attention facilities. The purpose of this paper is to introduce Sagittarius, a novel Open Educational Resource that uses data mining techniques to overcome such limitations. This open-source software enables building reliable and effective working groups in order to boost the learning experience of online courses by means of collaborative work. Collected observations on the Computer Engineering field show the feasibility of our approach and encourage practitioners to focus their efforts on this direction.
Keywords :
computer science education; courseware; data mining; educational courses; groupware; public domain software; teaching; Sagittarius; classroom-based environments; collaborative work enhancement; computer engineering field; data mining techniques; face-to-face learning methodology migration; heterogeneous profiles; intrinsic specificities; online teaching courses; online teaching environment; open educational resource; open-source software; personal attention facilities; student learning experience; student progress feedback; virtual learning environments; working groups; Data mining; Iron; LinkedIn; Monitoring; Silicon; Silicon compounds; Software; Collaborative learning; educational data mining; online courses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/CISTI.2014.6876880
Filename :
6876880
Link To Document :
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