大數據為科學與教育的發展提供了前所未有的契機與挑戰，未來人類知識的建構、發展及適應，均仰賴資料的蒐集、挖掘、分析、詮釋及創新。隨著大數據時代的到來，如欲在各領域保持領先地位，當務之急是認知大數據的內涵與應用、妥善的應用大數據，以改善我們的生活、學生的學習，以及提高社會與國家的競爭力。能以務實且正向的態度看待資料革命，方能讓俯拾即是的大數據資料發揮其價值。
為達成前揭目標，本研究的課程教材主題包含三大主題：1.大數據的理論與實務；2.大數據案例分析與研究設計；3.大數據分析的方法論議題。首先，「大數據的理論與實務」的教材單元包含「大數據概述」、「大數據的應用」、「大數據分析的教育意義」。其次，「大數據案例分析與研究設計」則包含了「次級資料分析概述」、「國內外教育大型資料庫介紹與案例分析」、「教育大數據案例分析」等學習單元。最後，「大數據分析的方法論議題」則包含「大數據分析的調查設計、抽樣設計、加權議題」、「潛在變項」、「信度與效度」、「結構方程模式」及「多層次分析」等單元。
Large data provides unprecedented opportunities and challenges for the development of science and education. In the future, the construction, development and adaptation of human knowledge rely on the collection, mining, analysis, commenting and innovation of data. With the advent of the big data era, if we want to maintain a leading position in all areas, the urgent task is to understand the connotation and application of big data, and to properly apply big data to improve our lives, students' learning, and to improve the competitiveness of society and the country. Only by being able to view the data revolution in a practical and positive manner can the large amount of data that is everywhere be able to expose its value.
In order to achieve the goal of uncovering the previous goals, the course textbook themes of this study include three major topics: 1. Theory and practice of large data; 2. Large data case analysis and research design; 3. Method discussion topics for large data analysis. First of all, the textbook unit of "Theory and Practice of Large Data" includes "Overview of Large Data", "Applicable of Large Data", and "Educational Ideas for Large Data Analysis". Secondly, "Large Data Case Analysis and Research Design" includes learning units such as "Overview of Secondary Data Analysis", "Introduction to Large Databases for Domestic and Foreign Education", and "Case Analysis of Large Databases for Education". Finally, the "Methods of Large Data Analysis Methods" includes "Survey Design, Sampling Design, License Question", "Potential Change", "Reliability and Validity", "Structural Equation Pattern" and "Multi-Level Analysis" and other units.
(1) 教師自編教材
(2) 邱皓政（2012）。量化研究法（三）：測驗原理與量表發展技術。臺北市：雙葉書廊。
(1) Teachers’ self-edited textbooks
(2) Qiu Haozheng (2012). Quantitative research method (III): test principles and scale development technology. Taipei City: Double Leaf Library.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 學習契約/專題實作學習契約/專題實作 Learn contract/problem implementation |
40 | 透過個人的理論觸覺挖掘蘊含於教育大數據中的潛在變項與邏輯結構，形成問題意識。 (2) 每位同學選擇一自身關心的教育議題，能正確解讀資料、熟練地使用課堂所學內容進行深度探勘與結果詮釋，且須於期末於課堂公開發表。簡報內容包含：緒論、研究方法、研究結果與討論。 |
| 小組合作探究任務小組合作探究任務 Group Cooperation Inquiry Mission |
30 | 以3至5人為一組，針對課程所規劃的案例與議題，進行合作問題解決。 |
| 課堂參與、線上討論課堂參與、線上討論 Class meeting and online discussion |
30 | 參與課堂討論、線上學習社群之表現情形、反思札記與檔案評量 |
