• DocumentCode
    798402
  • Title

    Supporting Computer Science Curriculum: Exploring and Learning Linked Lists with iList

  • Author

    Fossati, Davide ; Eugenio, Barbara Di ; Brown, Christopher W. ; Ohlsson, Stellan ; Cosejo, David G. ; Chen, Lin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Illinois at Chicago, Chicago, IL, USA
  • Volume
    2
  • Issue
    2
  • fYear
    2009
  • Firstpage
    107
  • Lastpage
    120
  • Abstract
    We developed two versions of a system, called iList, that helps students learn linked lists, an important topic in computer science curricula. The two versions of iList differ on the level of feedback they can provide to the students, specifically in the explanation of syntax and execution errors. The system has been fielded in multiple classrooms in two institutions. Our results indicate that iList is effective, is considered interesting and useful by the students, and its performance is getting closer to the performance of human tutors. Moreover, the system is being developed in the context of a study of human tutoring, which is guiding the evolution of iList with empirical evidence of effective tutoring.
  • Keywords
    computer aided instruction; computer science education; educational institutions; intelligent tutoring systems; computer aided instruction; computer science curricula; educational institution; human tutoring system; iList project; Artificial intelligence; Computer science; Data mining; Data structures; Heuristic algorithms; Humans; Probability density function; Computer-assisted instruction; computer science education; constraint-based modeling; education; evaluation/methodology; intelligent tutoring systems.;
  • fLanguage
    English
  • Journal_Title
    Learning Technologies, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1939-1382
  • Type

    jour

  • DOI
    10.1109/TLT.2009.21
  • Filename
    4906985