• DocumentCode
    2069330
  • Title

    Enabling effective synoptic assessment via algorithmic constitution of review panels

  • Author

    de Silva, Nisansa Dilushan ; Weerawarana, Shahani Markus ; Perera, A.S.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
  • fYear
    2013
  • fDate
    26-29 Aug. 2013
  • Firstpage
    776
  • Lastpage
    781
  • Abstract
    This paper presents an algorithmic tool that was used to create panels of experts for the synoptic assessment of a software engineering project course that is targeted towards fostering innovation and creativity in software engineering students. Synoptic assessments succeed with the ability to formulate expert evaluation panels. Yet many industry experts are busy professionals, and hence, the process of constituting appropriately balanced evaluation panels for project demonstrations is a significant challenge. The discussion includes the outcomes of using the algorithm to automate the panel composition and scheduling process for synoptic assessments of project demonstrations for a batch of 100 students following the Bachelor of Engineering (Honors) degree program in the Department of Computer Science and Engineering at the University of Moratuwa in Sri Lanka. We describe the challenges we faced and our approach towards addressing the issues as well as our encouraging successes.
  • Keywords
    computer science education; educational courses; educational institutions; scheduling; software engineering; Bachelor of Engineering degree program; Department of Computer Science and Engineering; Sri Lanka; University of Moratuwa; appropriately balanced evaluation panels; creativity; effective synoptic assessment; expert evaluation panel formulation; innovation; panel composition automation; project demonstrations; review panels algorithmic constitution; software engineering project course; software engineering students; synoptic assessments scheduling process; Computer science; Educational institutions; Equations; Industries; Mathematical model; Software engineering; Computer science education; engineering education; software engineering projects; technology in education;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Teaching, Assessment and Learning for Engineering (TALE), 2013 IEEE International Conference on
  • Conference_Location
    Bali
  • Type

    conf

  • DOI
    10.1109/TALE.2013.6654543
  • Filename
    6654543