• DocumentCode
    1104
  • Title

    Intelligent Performance Assessment of Students´ Laboratory Work in a Virtual Electronic Laboratory Environment

  • Author

    Achumba, I.E. ; Azzi, D. ; Dunn, V.L. ; Chukwudebe, G.A.

  • Author_Institution
    Electron. & Comput. Eng. Dept., Univ. of Portsmouth, Portsmouth, UK
  • Volume
    6
  • Issue
    2
  • fYear
    2013
  • fDate
    April-June 2013
  • Firstpage
    103
  • Lastpage
    116
  • Abstract
    Laboratory work is critical in undergraduate engineering courses. It is used to integrate theory and practice. This demands that laboratory activities are synchronized with lectures to maximize their derivable learning outcomes, which are measurable through assessment. The typical high costs of the traditional engineering laboratory, which often militate against the synchronization of laboratory activities and lectures, have catalyzed the increased adoption of virtual laboratories in engineering laboratory education. The principles of assessment in the virtual learning environment are essentially the same as in the traditional learning environment, with the same requirements for fairness, reliability, and validity. This motivated the incorporation, in a Virtual Electronic Laboratory (VEL) environment, of a Bayesian network-based tool for the performance assessment of students´ laboratory work in the environment. This paper details a description of the assessment tool, its verification, evaluation (as an assessment tool within the VEL environment), and application processes.
  • Keywords
    belief networks; computer aided instruction; engineering education; further education; performance evaluation; student experiments; Bayesian network-based tool; VEL environment; engineering laboratory education; intelligent performance assessment; laboratory activity lecture synchronization; performance assessment tool; student laboratory work; undergraduate engineering courses; virtual electronic laboratory environment; virtual learning environment; Bayesian methods; Computer network reliability; Educational institutions; Laboratories; Reliability; Synchronization; Bayesian methods; Bayesian networks; Computer network reliability; Educational institutions; Laboratories; Reliability; Synchronization; laboratory work; performance assessment; sensitivity analysis; validation and reliability; virtual laboratory;
  • fLanguage
    English
  • Journal_Title
    Learning Technologies, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1939-1382
  • Type

    jour

  • DOI
    10.1109/TLT.2013.1
  • Filename
    6407129