• 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