• DocumentCode
    148300
  • Title

    Handling re-grading of automatically graded assignments in MOOCs

  • Author

    Renz, Jan ; Staubitz, Thomas ; Willems, Christian ; Klement, Hauke ; Meinel, Christoph

  • Author_Institution
    Hasso Plattner Inst., Univ. of Potsdam, Potsdam, Germany
  • fYear
    2014
  • fDate
    3-5 April 2014
  • Firstpage
    408
  • Lastpage
    415
  • Abstract
    The process of assessment grading does not end on publishing the grades and assessment results. Often, discussions about single grades arise in post-exam reviews. While in traditional teaching and smaller online classes this can be handled on a per-user based approach, in Massive Open Online Courses (MOOCs) with thousands of e-assessment submissions this approach cannot be followed without investing huge resources. Therefore, a new approach of handling re-gradings is needed. In this paper, we will discuss the experience on re-gradings based on six courses offered on openHPI. We will introduce our concept of automated re-grading following an approach of fairness and demonstrate the importance of transparent communication. This paper provides a blueprint for handling re-grading issues in large scale learning environments.
  • Keywords
    computer aided instruction; educational administrative data processing; educational courses; MOOCs; assessment grading process; automated re-grading; automatically graded assignments; e-assessment submissions; large scale learning environments; massive open online courses; openHPI; post-exam reviews; transparent communication; Built-in self-test; Conferences; Context; Cultural differences; Engineering education; Standards; Assessment Design; E-Assessment; Grading; MOOC; Online Assessment; Re-grading; Scaled Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Engineering Education Conference (EDUCON), 2014 IEEE
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/EDUCON.2014.6826127
  • Filename
    6826127