Home > Archive > 2018 > Volume 8 Number 12 (Dec. 2018) >
IJIET 2018 Vol.8(12): 855-860 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.12.1153

The Learning Motivation and Understanding towards Programming Education of Elementary School Students in Japan

H. Kanoh

Abstract—Programming education through visual programming language has been introduced in many elementary schools. And lately, the number of robots for programming keeps increasing. It is becoming pervasive to see elementary school kids to construct their own robots, then make them move by the visual language programming. Undoubtedly it is essential to measure students’ learning motivation and degree of understanding towards robot programming through visual language itself before implementing it in various subjects as a general academic routine. The methodology is conduct the class for the robot programming to elementary school kids, and after that a question paper investigation was conducted. And in our measurement, we found that by programming, both the learning motivation and the degree of understanding have tremendously increased. Thus, our hypothesis is, if students’ learning motivation and understanding decrease when programming education is applied in different subjects, the teaching curriculums should be revised.

Index Terms—Programming, robot, visual programming language, robot programming.

H. K. Author is with the Yamagata University, Institute of Arts and Sciences, Yamagata, Japan (e-mail: kanoh@pbd.kj.yamagata-u.ac.jp).


Cite: H. Kanoh, "The Learning Motivation and Understanding towards Programming Education of Elementary School Students in Japan," International Journal of Information and Education Technology vol. 8, no. 12, pp. 855-860, 2018.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net

Article Metrics in Dimensions