• DocumentCode
    734334
  • Title

    Experiences in a Collaborative Space for Learning Digital Systems

  • Author

    Baneres, David ; Caballe, Santi

  • Author_Institution
    Multimedia & Telecommun. Dept., Open Univ. of Catalonia, Barcelona, Spain
  • fYear
    2015
  • fDate
    8-10 July 2015
  • Firstpage
    82
  • Lastpage
    88
  • Abstract
    Practical skills such as Programming Languages or Digital Systems Design are learned by experience. Such skills are not mechanical processes, but rather a creative ones. For this reason, students should practice repeatedly and receive constant feedback in order to further progress in their learning process. Nevertheless, it is difficult for instructors to give constant and individual feedback in this type of exercise, as there are many different correct strategies to construct a valid solution. Intelligent tutoring systems can be used in order to automate individual feedback, however the lack of intervention of the instructor or other students in the process of solving the design hinders the learning process. This study aims to examine the effect of the combination of a automated tutoring system for learning circuits design with an asynchronous collaborative space organized in different groups. Findings indicate that the student retention, the students´ performance and collaborative knowledge construction is enhanced with this combination.
  • Keywords
    groupware; intelligent tutoring systems; asynchronous collaborative space; automated tutoring system; collaborative knowledge construction; digital systems design; intelligent tutoring systems; learning process; Artificial intelligence; Collaboration; Computers; Digital systems; Laboratories; Organizations; Springs; Flexible forums; digital systems design; distance learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
  • Conference_Location
    Blumenau
  • Print_ISBN
    978-1-4799-8869-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2015.12
  • Filename
    7185170