研究生: |
謝忠宇 Chung-Yu Hsieh |
---|---|
論文名稱: |
高中職生在機器人課程中的設計思維、二十一世紀關鍵能力與機器人學習自我效能之相關研究 Relationships among Students’ Design Thinking, 21st century abilities, and Robotics Learning Self-Efficacy in the Robotics Curriculum |
指導教授: |
蔡孟蓉
Meng-Jung Tsai |
口試委員: |
蔡今中
Chin-Cung Tsai 許衷源 Chung-Yuan Hsu 梁至中 Jyh-Chong Liang |
學位類別: |
碩士 Master |
系所名稱: |
人文社會學院 - 數位學習與教育研究所 Graduate Institute of Digital Learning and Education |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 中文 |
論文頁數: | 66 |
中文關鍵詞: | 機器人課程 、設計思維 、二十一世紀關鍵能力 、機器人學習自我效能 |
外文關鍵詞: | robotics curriculum, design thinking, 21st century abilities, robotics learning self-efficacy |
相關次數: | 點閱:593 下載:4 |
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本研究目的為探究高中職學生在機器人課程中設計思維、二十一世紀關鍵能力和機器人學習自我效能間之關聯性,以及瞭解設計思維與二十一世紀關鍵能力分別對於機器人學習自我效能之預測力。研究對象以立意取樣的方式選取新北市某一私立高中156名已具有修習機器人課程經驗之高中職學生。本研究採用問卷調查法,利用設計思維量表、二十一世紀關鍵能力量表,以及機器人學習自我學習效能量表進行問卷資料蒐集。本研究收集之問卷資料利用描述性統計、皮爾森積差相關分析與逐步迴歸分析等方法進行分析。根據分析結果得知,學生的設計思維、二十一世紀關鍵能力及機器人學習自我效能變項兩兩之間皆有顯著且正向的關聯性。此外,設計思維中的原型、同理心、發想等三個子構面可以顯著地預測機器人學習自我效能;而二十一世紀關鍵能力中的複雜問題解決能力與創新創造力兩個子構面亦可顯著地預測機器人學習自我效能;最後,設計思維中的原型和同理心兩個子構面,以及二十一世紀關鍵能力中的複雜問題解決能力和批判性思考能力兩個子構面可同時顯著預測機器人學習自我效能。
This study aims to explore the relationships among students’ design thinking, 21st century abilities, and robotics learning self-efficacy in the robotics curriculum. Also, this study examined the predictions of design thinking and 21st century abilities toward robotics learning self-efficacy respectively. The participants consisted of 156 high school and vocational students who had learning experiences of robotics curricula. A design thinking scale, a 21st century abilities scale, and a robotics learning self-efficacy scale were used for collecting the needed data. The descriptive statistics, Pearson’s correlation analysis, and stepwise regression analysis were also conducted in this study. Results of this study show that students’ design thinking, 21st century abilities, and robotics learning self-efficacy had significant and positive relationships with each other. Moreover, three sub-factors of design thinking, prototype, empathy, and ideate, can significantly predict robotics learning self-efficacy. Furthermore, two sub-factors of 21st century abilities, complex problem-solving ability and creativity, can significantly predict robotics learning self-efficacy. Finally, the prototype and the empathy of design thinking as well as the complex problem-solving and the critical thinking abilities of 21st century abilities can significantly predict robotics learning self-efficacy.
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