• DocumentCode
    1121551
  • Title

    Problem-Based Learning in Instrumentation: Synergism of Real and Virtual Modular Acquisition Chains

  • Author

    Nonclercq, Antoine ; Biest, Alexis Vander ; De Cuyper, Kevin ; Leroy, Erwan ; Martinez, David Lopez ; Robert, Frédéric

  • Author_Institution
    Bio, Electro & Mech. Syst. (BEAMS), Univ. Libre de Bruxelles, Brussels, Belgium
  • Volume
    53
  • Issue
    2
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    234
  • Lastpage
    242
  • Abstract
    As part of an instrumentation course, a problem-based learning framework was selected for laboratory instruction. Two acquisition chains were designed to help students carry out realistic instrumentation problems. The first tool is a virtual (simulated) modular acquisition chain that allows rapid overall understanding of the main problems in instrumentation. The second tool is an actual modular chain allowing students to test these modules in practice and fine-tune the results. The didactic impact of the laboratory-and especially of the two acquisition chains-was evaluated using three approaches: an evaluation questionnaire, the problem outcomes, and a written examination. These results show that the students valued the laboratory-based coursework and found both tools useful. Furthermore, they were able to address problems at a high cognitive level.
  • Keywords
    biomedical measurement; data acquisition; groupware; learning by example; data acquisition; laboratory-based coursework; modular acquisition chains; problem-based learning; synergism; Biomedical engineering; Biomedical measurements; Collaborative work; Data acquisition; Electrocardiography; Instruments; Laboratories; Problem-solving; Testing; Voltage; Biomedical measurements; collaborative work; data acquisition; measurement; problem-solving; simulation;
  • fLanguage
    English
  • Journal_Title
    Education, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9359
  • Type

    jour

  • DOI
    10.1109/TE.2009.2013716
  • Filename
    5152984