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A Study of Currents and Needs in the Computing Science Using a Robot for Online Learning

Nattanan Muenmaroung, Wuttiporn Suamuang, and Surachai Suksakulchai

Abstract—This study aimed to 1) Investigate current conditions and needs for studying computing science utilizing robots as learning resources. 2) Compare current conditions in computing science by using robots as learning resources across gender and class level. 3) Compare the needs of computing science by using robots as learning resources across gender and class levels. The sample of this study included 288 high school students from Thailand selected by convenience sampling. The questionnaire was used to explore currents and needs in computing science using a robot. The content validity of the questionnaire is accepted. The result of study showed that students were studying through lectures rather than the more effective learning style of critical thinking, which was the goal of the computing science courses. Students did not use robots for their class and lack of hand-on experiences. Therefore, students desire to improve their abilities by employing robots as learning aids and assembling electronic was a gender differences on some current conditions. Male students can pursue further education by themselves, and male students were more likely to practice critical thinking skills than female students. In addition, male students felt more motivated than female students. The difference between class levels found that grade 7 students had the most chances to use robots in their studies and enjoy the current learning approach in general skills. Students of grades 9 and 11 had more chances to practice coding than grade 12 students. Grade 7 students got more inspired to study computing science than their grade levels.

Index Terms—Computing science, STEM, robots, currents, need.

The authors are with King Mongkut’s University of Technology Thonburi, Thailand (e-mail: nattanan.muen@kmutt.ac.th, wuttiporn.sua@kmutt.ac.th, surachai.suk@kmutt.ac.th).


Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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 (CiteScore 2021: 1.3), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net

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