• DocumentCode
    2089829
  • Title

    Scenario-Based Assessment for Database Course

  • Author

    Iqbal, Rahat ; James, Anne

  • Author_Institution
    Distrib. Syst. & Modelling Res. Group, Coventry Univ., Coventry
  • fYear
    2008
  • fDate
    1-5 July 2008
  • Firstpage
    735
  • Lastpage
    736
  • Abstract
    This paper presents some reflection upon the use of a flexible scenario-based method for the assessment of a third level module in databases in a UK university. The method is designed to encourage problem-solving skills amongst students by carrying out scenario-based assessments which are highly flexible. By the use of this method, we intend to address the surface learning strategy demonstrated by many students - a problem identified by many studies in higher education. The method is applied to assess the intended learning outcomes and performance of students. The key benefits of this method are its applicability to courses with large cohorts, flexibility and time saving in marking. In this paper, we report our experience of using the technique of scenario-based learning as a key pedagogical method for assessing practical databases issues concerning data protection, data legislations and object-oriented databases.
  • Keywords
    computer science education; database management systems; UK university; data legislations; data protection; database course; object-oriented databases; problem-solving skills; scenario-based assessment; surface learning strategy; Distributed databases; Feedback; Object oriented databases; Object oriented modeling; Problem-solving; Protection; Registers; Technology management; Testing; Yarn; Curriculum model; Deep learning; Real-time assessment; activity; e- testing; scenario; theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
  • Conference_Location
    Santander, Cantabria
  • Print_ISBN
    978-0-7695-3167-0
  • Type

    conf

  • DOI
    10.1109/ICALT.2008.256
  • Filename
    4561820