• DocumentCode
    1807658
  • Title

    Work in progress — Challenges in designing an assessment scheme for a diverse cohort of students

  • Author

    Aravinthan, Vasantha

  • Author_Institution
    Univ. of Southern Queensland, Toowoomba, QLD, Australia
  • fYear
    2010
  • fDate
    27-30 Oct. 2010
  • Abstract
    Designing an assessment scheme for a diverse cohort of students having different backgrounds and competencies is a challenge in itself. A case study on a course titled “Environmental technology” delivered in the Faculty of Engineering and Surveying at University of Southern Queensland in Australia is an example that depicts this challenge. This paper reports a critical analysis undertaken using the available data to understand the diverse characteristics of the students in terms of their majors and programs, their corresponding performance in the assessment and finally the interpretation of how their performance is related to their majors and programs. Having critically reviewed the existing assessment practices along with the students´ feedback, a new assessment strategy is proposed that can influence the students´ approaches to learning from surface to deep learning and that takes into account the diverse nature of the students.
  • Keywords
    design engineering; educational institutions; engineering education; Australia; University of Southern Queensland; deep learning approach; design; environmental technology; student diverse cohorts; surface learning approach; Australia; Book reviews; Conferences; Discussion forums; Gaussian distribution; High definition video; Writing; Assessment scheme; Deep learning approach; Diversity; Surface learning approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference (FIE), 2010 IEEE
  • Conference_Location
    Washington, DC
  • ISSN
    0190-5848
  • Print_ISBN
    978-1-4244-6261-2
  • Electronic_ISBN
    0190-5848
  • Type

    conf

  • DOI
    10.1109/FIE.2010.5673332
  • Filename
    5673332