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This Author published in this journals
All Journal Journal of Advanced Research in Social Sciences and Humanities Journal of ICT, Design, Engineering and Technological Science
Chung-Hsiang Wang
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Physics Social Sciences

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Transdisciplinary Learning Based on Problem Identification of Design Computational Thinking - A Case Study of the Topic of Marine Debris Chung-Hsiang Wang; Ko-Chiu Wu
Journal of Advanced Research in Social Sciences and Humanities Vol. 8 No. 1 (2023): JARSSH
Publisher : Journal of Advanced Research in Social Sciences and Humanities

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26500/JARSSH-08-2023-0103

Abstract

Aim: The purpose of this study is to explore how design students can identify marine debris problems and generate insights through the computational thinking learning process to better develop design students’ ability to learn across domains.Methodology: We have set up a transdisciplinary learning course of "Design Computational Thinking", trying to introduce the knowledge of marine debris in the humanities and environmental sustainability into the course, combining design thinking and computational thinking processes, and guiding students to think about and evaluate problems in stages and complete thematic design. Finally, through the achievement report, Expert assessment, and semi-structured interviews with students, analyze and evaluate their learning effect.Findings: It was found that students were creative in the way to deal with marine debris problems. Computational thinking can have an impact on the design process. In the process of design decision-making, students can think and express hierarchically, and use core strategies to solve problems.Implications/Novel Contribution: This study provides a knowledge base for problem-solving through transdisciplinary and metacognitive learning. The combination of design thinking and computational thinking provides different levels of thinking models for problem-solving and generates insights.
Interdisciplinary Learning of Low-Code Development Platform Programming with Dual Coding Theory-A Case Study of Agilepoint NX Chung-Hsiang Wang; Ko-Chiu Wu
Journal of ICT, Design, Engineering and Technological Science Volume 6, Issue 1
Publisher : Journal of ICT, Design, Engineering and Technological Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33150/JITDETS-6.1.3

Abstract

This paper studies the interdisciplinary learning process of programming and computational thinking by design students trying to use a cloud-based low-code development platform with an information visualization interface. We researched and set up an 8-week “AgilePoint NX” programming course, which guided students with the introduction of computational thinking and learned from dual coding theory. In image process and low-code learning, we can carry out structured thinking and problem thinking and complete project tasks practice. We comprehensively analyze and evaluate their learning effectiveness through classroom learning observation, student sampling, brief interviews, and feedback. Finally, it is found that students from different backgrounds have different cognitive learning effects on interdisciplinary learning programs. Different factors on learning pain points lead to students’ low learning of programming courses. Exploring their learning process can be used as a reference for interdisciplinary learning and low-code development platform programming.
Co-Authors Ko-Chiu Wu