{"title":"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","authors":"Chung-Hsiang Wang, Ko-Chiu Wu","doi":"10.26500/jarssh-08-2023-0103","DOIUrl":null,"url":null,"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.","PeriodicalId":14964,"journal":{"name":"Journal of Advanced Research in Social Sciences and Humanities","volume":"230 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transdisciplinary Learning Based on Problem Identification of Design Computational Thinking - A Case Study of the Topic of Marine Debris\",\"authors\":\"Chung-Hsiang Wang, Ko-Chiu Wu\",\"doi\":\"10.26500/jarssh-08-2023-0103\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":14964,\"journal\":{\"name\":\"Journal of Advanced Research in Social Sciences and Humanities\",\"volume\":\"230 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Advanced Research in Social Sciences and Humanities\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26500/jarssh-08-2023-0103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Research in Social Sciences and Humanities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26500/jarssh-08-2023-0103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Transdisciplinary Learning Based on Problem Identification of Design Computational Thinking - A Case Study of the Topic of Marine Debris
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.