博碩士論文 107524020 詳細資訊




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姓名 賴柏翰(Po-Han Lai)  查詢紙本館藏   畢業系所 網路學習科技研究所
論文名稱 學生應用視覺化建模與程式工具進行計算建模之分析
(An Analysis of Computational Modeling in Science with Visual Modeling and Programming Tool)
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摘要(中) 計算思維為現代所有人都應具備的基礎能力,而計算建模能夠幫助學生學習科學與計算思維相關的概念知識。因此,本研究基於建造理論,設計一個具備低門檻與高天花板且使用視覺化程式設計介面的科學計算建模系統與計算思維引導之課程活動,蒐集了28名國三學生於建模活動中所建立的科學計算模型與建模行為,使用質性與量化分析,並加入行為序列分析方式,探討科學計算建模對於學生科學與計算思維的影響,以及分析建模行為和學習成效與建模表現的相關性。研究結果顯示,學生是否能夠建立出計算模型的關鍵步驟為發展問題相關的表徵內容,這一步驟亦影響建模過程中出錯的頻率。此外,學生能否建立較為完整的計算模型則與對於隨時間變化之動態系統的描述、數學與工程概念的轉換、與對於事件識別能力有關。最後,本研究亦發現解構能力較差的學生會傾向依賴參考案例來完成建模。另外,本研究根據研究結果提出未來研究中能改進的部分,像是科學與計算思維試題都應重新設計、教師於課程中可以先帶領學生系統性地 分析問題並依照學生程度給予鷹架輔助以及系統上可以加入更多防止錯誤機制 與錯誤回復機制。
摘要(英) Computational thinking is one of the contemporary skills that all modern people should possess, and computational modeling can help students learn scientific and computational thinking concepts. One aim of this study was to understand the effect of scientific computational modeling activities on students’ scientific and computational thinking concepts. The other aim of this study was to clarify the relations between modeling behaviors, learning outcomes and modeling performance. In this study, we designed a scientific computational modeling system with the feature of low-threshold and high-ceiling effect based on constructionism. The system provided a visual-based programming interface along with learning activities guided by computational thinking. A number of twenty-eight 9th graders participated in the learning activity. Students’ scientific computational models and their modeling behaviors during the learning activities were collected. The quantitative analysis, qualitative analysis, and behavior sequence analysis were conducted to answer research questions. The result showed that developing abstract features for the questions is the key step to successfully build models. This step also affects the frequency of errors in the modeling process. Furthermore, students’ abilities to develop more comprehensive computational models were correlated with the abilities to describe a time-varying dynamic system, the conversion between mathematics and engineering concepts, and the abilities to recognize event patterns. Finally, the result also showed that students with poor decomposition abilities tended to rely on references to create the model. Suggestions were provided for future studies. First, both science and computational thinking assessments should be redesigned. Second, teachers can lead students to analyze problems systematically and provide scaffoldings for students with different levels in class. Third, more error prevention and correction mechanisms should be integrated into the modeling system.
關鍵字(中) ★ 計算思維
★ 建造理論
★ 綜效學習
★ 電腦模擬
★ 計算建模
★ 滯後序列分析
關鍵字(英) ★ computational thinking
★ constructionism
★ synergistic learning
★ computer simulation
★ computational modeling
★ lag sequential analysis
論文目次 摘要 i
Abstract ii
致謝 iv
目錄 vi
圖目錄 ix
表目錄 xi
壹、緒論 1
1.1 研究背景與動機 1
1.2 研究目的與問題 2
1.3 名詞解釋 2
1.3.1 計算建模(Computational modeling) 2
1.3.2 電腦模擬(Computer simulation) 3
1.3.3 滯後序列分析(Lag Sequential Analysis, LSA) 3
1.3.4 計算思維(Computational thinking) 3
1.4 論文架構 3
貳、文獻探討 4
2.1 計算思維 4
2.2 計算思維與STEM的綜效學習 5
2.3 計算建模 6
參、系統設計 9
3.1 系統架構與設計理念 9
3.2 系統介紹 10
肆、研究方法 20
4.1 研究流程 20
4.2 教學活動設計 21
4.3 實驗設計 25
4.3.1 填寫實驗同意書 26
4.3.2 前測試題測驗 26
4.3.3 學習活動 26
4.3.4 最終實作測驗 26
4.3.5 後測試題測驗 26
4.4 研究對象 26
4.5 研究工具 27
4.5.1 CoSci平台 27
4.5.2 前後測紙筆測驗 27
4.5.3 系統操作Log檔 28
4.6 資料蒐集與分析 29
4.6.1 科學計算模型 30
4.6.2 活動任務表現 30
4.6.3 活動行為 30
4.6.4 學習成效 33
伍、研究結果與討論 34
5.1 科學概念與CT概念的學習成效 34
5.2 學習活動任務表現 35
5.2.1 任務表現與任務等級分組 35
5.2.2 任務等級質性分析 36
5.3 任務表現等級分析 41
5.3.1 活動行為與任務表現分析 41
5.3.2 學習成效與任務表現分析 49
5.4 活動行為分析 51
5.4.1 活動行為與任務表現相關性 51
5.4.2 活動行為與科學概念相關性 51
5.4.3 活動行為與CT概念相關性 52
5.4.4 監督式活動行為序列分析 54
陸、結論與未來工作 60
6.1 結論 60
6.2 未來工作 62
參考文獻 64
附錄A 科學概念試題 70
附錄B CT概念試題 73
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指導教授 劉晨鐘(Chen-Chung Liu) 審核日期 2021-1-18
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