• DocumentCode
    1691771
  • Title

    Online self-assessment as a learning method

  • Author

    Gayo-Avello, Daniel ; Fernández-Cuervo, Hortensia

  • Author_Institution
    Dept. of Informatics, Oviedo Univ., Spain
  • fYear
    2003
  • Firstpage
    254
  • Lastpage
    255
  • Abstract
    Algorithms and Programming Languages is a core subject in the BS degree in mathematics at the authors´ university. Some of the students are very interested in computer programming but most of them find the subject quite hard. This situation is particularly stressed when concerning theoretical aspects and, in fact, many students view these areas as the main difficulty of the subject. Because of this, the authors decided to explore new ways to improve the student learning of theoretical concepts. Thus, they analyzed the use of online self-assessment tools as a self-learning system. To perform this analysis two different kinds of tools were chosen and the authors developed an experiment to evaluate, on one hand, the possible use of self-assessment tools as self-learning systems and, on the other hand, to compare the tools to each other.
  • Keywords
    computer science education; courseware; distance learning; educational administrative data processing; programming; programming languages; programming theory; student experiments; APL; Algorithms and Programming Language; computer programming; meaningful learning; online self-assessment tool; operant learning; self-learning system; student learning; theoretical concept; Computer languages; Informatics; Learning systems; Mathematics; Navigation; Performance analysis; Performance evaluation; Programming; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2003. Proceedings. The 3rd IEEE International Conference on
  • Print_ISBN
    0-7695-1967-9
  • Type

    conf

  • DOI
    10.1109/ICALT.2003.1215070
  • Filename
    1215070