• DocumentCode
    2933097
  • Title

    Integration of Visualization Techniques and Completion Strategy to Improve Learning in Computer Programming

  • Author

    Hashim, Nurhana ; Salam, Sazilah

  • Author_Institution
    Interactive Media Dept., Univ. Teknikal Malaysia Melaka (UTeM), Ayer Keroh, Malaysia
  • fYear
    2009
  • fDate
    4-7 Dec. 2009
  • Firstpage
    665
  • Lastpage
    669
  • Abstract
    Computer Programming is known as a difficult subject that requires complex cognitive task by the majority of students even for those who are taking Computer Science courses. It is normal for programming instructors to provide their students with alternative methods to help them in the learning process. When learning to program for the first time, students and lecturers usually are facing with difficulties in learning and teaching the subject. Mobile learning provides a great opportunity for learners to switch from rigid learning to fun learning using supported elements. The ability of mobile devices only is still not enough for learners to master in learning programming without the right options in techniques applied. This study will explore how Visualization Technique and Completion Strategy can be used to improve learning in a computer programming subject.
  • Keywords
    computer aided instruction; computer science education; data visualisation; mobile computing; programming; completion strategy; complex cognitive task; computer programming; computer science courses; learning; visualization techniques integration; Computer applications; Constraint optimization; Containers; Design optimization; Integer linear programming; Laboratories; Pattern recognition; Printing; Testing; Visualization; Completion Strategy; Computer Programming; Mobile Learning; Visualization techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of
  • Conference_Location
    Malacca
  • Print_ISBN
    978-1-4244-5330-6
  • Electronic_ISBN
    978-0-7695-3879-2
  • Type

    conf

  • DOI
    10.1109/SoCPaR.2009.131
  • Filename
    5370351