JOURNAL ARTICLE
Graphical Arduino IDE system with wiring layout and flowchart functions for physical computing education.
Published In: Computer Applications in Engineering Education, 2024, v. 32, n. 6. P. 1 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Hwang, Il‐Kyu; Kong, Tae‐Woong; Park, Jin‐Hyuk 3 of 3
Abstract
Arduino, a widely used tool for physical computing, is favored for its affordability and easy availability. However, a drawback for beginners is the requirement of prior knowledge of C programming language and circuit theory for effectively utilizing Arduino. In this research, we address this issue by developing a Graphical Arduino IDE system that allows users to control Arduino without the need for prior knowledge of C language and circuit theory. Users can create node graph‐based scripts in the Wiring Tab of the Graphical Arduino IDE and develop flowchart‐based scripts in the Algorithm Tab. The scripts created in the Wiring Tab serve as guidelines for wiring, thus preventing users from making wiring mistakes. Additionally, users without knowledge of C language can control Arduino by creating flowchart‐based scripts in the Algorithm Tab. The finalized scripts are converted into Arduino code and uploaded to the Arduino board using the built‐in Code Upload feature. Finally, a paired t test was conducted between the Graphical Arduino IDE and Scratch for Arduino, confirming that the Graphical Arduino IDE required fewer user inputs. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Computer Applications in Engineering Education. 2024/11, Vol. 32, Issue 6, p1
- Document Type:Article
- Subject Area:Computer Science
- Publication Date:2024
- ISSN:10613773
- DOI:10.1002/cae.22783
- Accession Number:180826952
- Copyright Statement:Copyright of Computer Applications in Engineering Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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