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
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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.
基于设计计算思维问题识别的跨学科学习——以海洋垃圾主题为例
目的:本研究的目的是探讨设计专业学生如何通过计算思维学习过程识别海洋垃圾问题并产生见解,以更好地培养设计专业学生的跨领域学习能力。方法论:我们开设了“设计计算思维”的跨学科学习课程,尝试将海洋垃圾的人文学科知识和环境可持续性知识引入课程,结合设计思维和计算思维过程,引导学生分阶段思考和评价问题,完成主题设计。最后,通过成绩报告、专家评估、半结构化访谈等方式,对学生的学习效果进行分析和评价。调查结果:学生在处理海洋垃圾问题的方法上有创意。计算思维可以对设计过程产生影响。在设计决策过程中,学生能够分层思考和表达,运用核心策略解决问题。启示/新贡献:本研究为通过跨学科和元认知学习解决问题提供了知识基础。设计思维和计算思维的结合为解决问题提供了不同层次的思维模式,并产生了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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