本課程旨在培養學生對教育數據分析的興趣和能力，透過統計分析方法、資料科學與資料探勘概念的介紹，以及Python程式語言的實際操作，讓學生能夠運用這些工具解決教育領域中的實際問題。課程內容包括教育數據分析概論、統計分析方法應用、資料科學與資料探勘概念與實作。
課程主要分成三個方式進行：（1）講述式授課與實作、（2）小組實際操作、（3）小組專案實作。
本課程之教學內容包括：（1）知識講述、（2）資料分析練習、（3）研究小組專案實作、（4）課堂發表研究報告This course aims to cultivate students' interest and ability in educational data analysis, through statistical analysis methods, introduction to data science and data exploration concepts, and the actual operation of Python programming language, students can use these tools to solve practical problems in the field of education through statistical analysis methods, introduction to data science and data exploration concepts, and actual operations of Python programming languages. . The course content includes an overview of educational data analysis, application of statistical analysis methods, data science and data exploration concepts and implementation.
The course is mainly divided into three methods: (1) lecture-based teaching and practice, (2) group actual operation, and (3) group project implementation.
The teaching content of this course includes: (1) knowledge presentation, (2) data analysis and practice, (3) project implementation of research group, and (4) class publishing research reports
1. Baker, R. S. (2020). Big Data and Education (6th ed).
2. 廖述賢、溫志皓，資料探勘：人工智慧與機器學習發展以SPSS Modeler 為範例
3. 自編教材
1. Baker, R. S. (2020). Big Data and Education (6th ed).
2. Liao Shuqian and Wen Zhihao, Data Exploration: The development of artificial intelligence and machine learning takes SPSS Modeler as an example
3. Self-edited textbooks
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席出席 Attend |
20 | |
| 期中小組報告期中小組報告 Small and medium-term report |
10 | |
| 個人或小組實作個人或小組實作 Personal or group implementation |
40 | |
| 期末小組實作報告期末小組實作報告 Final group implementation report |
20 |
