• DocumentCode
    654459
  • Title

    The effects of teaching material remediation with ARCS-strategies for programming education

  • Author

    Tsukamoto, Hayami ; Takemura, Y. ; Nagumo, Hideo ; Monden, Akito ; Matsumoto, Ken-ichi

  • Author_Institution
    Dept. of Character Creative Arts, Osaka Univ. of Arts, Kanan, Japan
  • fYear
    2013
  • fDate
    23-26 Oct. 2013
  • Firstpage
    717
  • Lastpage
    723
  • Abstract
    In this paper, a method for improving the teaching materials of programming education is introduced, and the evaluation of the effects of using the strategy is presented. By using this method, the teachers of programming education will be able to assess and improve their teaching materials irrespective of their knowledge and experience of their teaching materials already used. In this method, the teaching materials were improved based on the statistical analysis of the motivation of students. Specifically, the motivation of students was measured for each lower category of ARCS motivation model with the authors´ original questionnaire. The lower category in a particular lesson that showed a statistically significant decrease from the previous lesson was identified, and the improvement strategies for the lower category were selected from the list of motivation strategies in the ARCS model. The teaching materials of programming education were then improved based on the strategy. In this research, five lower categories of particular lessons in a programming course were identified, and the teaching materials were improved. The improved teaching materials were used in the following programming course, and the effects of the improvements were seen in three lower categories out of the identified five lower categories.
  • Keywords
    computer science education; educational courses; human factors; programming; statistical analysis; teaching; ARCS motivation model; ARCS-strategies; programming courses; programming education teachers; programming education teaching material improvement; statistical analysis; student motivation; teaching material remediation; Arrays; Art; Education; Programming profession; Psychology; Silicon; ARCS motivation model; Motivation; Motivation strategies; Programming education;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference, 2013 IEEE
  • Conference_Location
    Oklahoma City, OK
  • ISSN
    0190-5848
  • Type

    conf

  • DOI
    10.1109/FIE.2013.6684920
  • Filename
    6684920