• DocumentCode
    2162794
  • Title

    Creating adaptive quests to support personalized learning experiences when learning software languages

  • Author

    Boesch, Chris ; Boesch, Sandra

  • Author_Institution
    Singapore Manage. Univ., Singapore, Singapore
  • fYear
    2013
  • fDate
    1-4 Oct. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Over the past three years the authors have been developing and refining an online practicing platform called SingPath, which enables users to practice writing code in various software languages. The most recent feature to be released is a Quest mode that encourages users by showing short video clips each time a user solves five problems. In addition, users are able to choose whether to play through these quests on easy, medium, or hard levels of difficulty. The ability for users to customize their game play enables them to modify the difficulty of the experience and ideally self-regulate how frustrating or boring they find the practicing experience. Additionally, a drag-n-drop mode has recently been added for users that would like to practice assembling solutions in a particular programming language before moving on to attempting to write code in that language. This new drag-n-drop mode enables quests to be played on a variety of tablets as well as traditional devices with keyboards.
  • Keywords
    computer aided instruction; computer games; computer science education; programming languages; Quest mode; SingPath platform; drag-n-drop mode; online practicing platform; personalized learning experiences; programming language; software languages; Conferences; Councils; Games; Measurement; Media; Real-time systems; Software; Game-based learning; personalized learning; self-regulated learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Educational Media (ICEM), 2013 IEEE 63rd Annual Conference International Council for
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CICEM.2013.6820143
  • Filename
    6820143