Misc.

2016

Textual vs. Visual Programming Languages in Programming Education for Primary Schoolchildren

2016 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE)
  • Hidekuni Tsukamoto
  • ,
  • Yasuhiro Takemura
  • ,
  • Yasumasa Oomori
  • ,
  • Isamu Ikeda
  • ,
  • Hideo Nagumo
  • ,
  • Akito Monden
  • ,
  • Ken-ichi Matsumoto

First page
1
Last page
7
Language
English
Publishing type
DOI
10.1109/FIE.2016.7757571
Publisher
IEEE

The purpose of this research is to compare textual programming languages and visual programming languages from the aspect of motivation. As a textual programming language, Processing programming language was used, and as visual programming languages, Scratch, a derivation of Scratch, Teaching materials offered by code.org, and LEGO Mindstorms EV3 were used. Teaching materials using the textual programming language, and those using the visual programming languages were developed separately. A trial experiment of programming education with the textual programming language was conducted to a cohort of seven primary schoolchildren. Trial experiments with the visual programming languages were conducted twice. In each of them, a cohort of eight primary schoolchildren participated. The motivation of the children was assessed using the questionnaire based on the ARCS (Attention, Relevance, Confidence, and Satisfaction) motivation model. The results with the visual programming languages suggested that the motivation scores of the children increased as the class progressed when visual programming languages were used. On the other hand, the results with Processing suggested that the variance of Satisfaction factor increased as the class progressed when textual programming languages were used, which further suggested that the Satisfaction scores of the children spread as the class progressed when textual programming languages were used.

Link information
DOI
https://doi.org/10.1109/FIE.2016.7757571
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000392331500225&DestApp=WOS_CPL
ID information
  • DOI : 10.1109/FIE.2016.7757571
  • ISSN : 0190-5848
  • Web of Science ID : WOS:000392331500225

Export
BibTeX RIS