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E_教育學院

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  3. 114學年度第二學期課程
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1142教育統計學(二) D組(Educational Statistics (II) D group)
t45003 譚克平

1142教育統計學(二) D組(Educational Statistics (II) D group)

選課
1142科技化教學產業見習與創新(The Current and Future of the Edtech Industry: Practices and Innovations)
ptm112-16116 簡馨瑩

1142科技化教學產業見習與創新(The Current and Future of the Edtech Industry: Practices and Innovations)

選課
1142高級教育統計學(甲) B組(Advanced Educational Statistics (A) B group)
cwliu 劉振維

1142高級教育統計學(甲) B組(Advanced Educational Statistics (A) B group)

選課
1142教育統計學(二) E組(Educational Statistics (II) E group)
chaopc 趙本強

1142教育統計學(二) E組(Educational Statistics (II) E group)

選課
1142教育統計學(二) A組(Educational Statistics (II) A group)
poyichen 陳柏邑

1142教育統計學(二) A組(Educational Statistics (II) A group)

選課
1142高級教育統計學(甲) A組(Advanced Educational Statistics (A) A group)
chunyukuo 郭郡羽

1142高級教育統計學(甲) A組(Advanced Educational Statistics (A) A group)

選課
1142教育統計學(二) C組(Educational Statistics (II) C group)
ptm110_13619 張凌嘉

1142教育統計學(二) C組(Educational Statistics (II) C group)

選課
1142學習與教學導論(Introduction to Learning and Teaching)
tsuichun 胡翠君yichungh 黃翊忠

1142學習與教學導論(Introduction to Learning and Teaching)

選課
1142縱貫資料分析(Longitudinal Data Analysis)
Hawjeng Chiou 邱皓政

1142縱貫資料分析(Longitudinal Data Analysis)

選課
1142教育研究論文寫作(Academic Writing for Education Research)
tsaicc 蔡今中tzungjinlin 林宗進

1142教育研究論文寫作(Academic Writing for Education Research)

選課
1142階層線性模式(Hierachical Linear Models)
linsh 林世華

1142階層線性模式(Hierachical Linear Models)

選課
1142教育統計學(二) B組(Educational Statistics (II) B group)
chilin570 吳清麟

1142教育統計學(二) B組(Educational Statistics (II) B group)

選課
1142社區高齡者服務實習(Elderly Health Service Practicum)
alexwjb 吳振邦honesto 蔡昕璋

1142社區高齡者服務實習(Elderly Health Service Practicum)

選課
1142 Educational Statistics (I)
pyu 余穎麒

1142 Educational Statistics (I)

This course seeks to introduce the language, logic and methods of statistics. Although this course will focus on understanding the role of statistics in educational settings, its importance and application in everyday life will also be emphasized in class discussions. Specifically, this course will begin with a discussion of descriptive statistics, including mean, median, standard deviation, and graphs. Then, we will move toward ways to explain the relationship between sets of data, such as correlations. The remainder of the course will introduce concepts of probability and how these concepts allow us to make statistical decisions (e.g., to determine whether variations among individuals are due to “real differences” or “chance occurrences”). The logic of these concepts is extremely important in that it forms the basis of inferential statistics. In this course, we will learn the fundamental assumptions, logic, and math of statistics by hand calculation (of course using calculators). By doing so, you will be able to more accurately choose which data and statistical model to use in educational research, and more appropriately utilize statistical software for data analysis in the future. By the end of this course, you will be familiar with different forms of statistical distribution. These statistical tests are crucial for the understanding of more sophistical statistical procedures you are likely to encounter in advanced courses and future studies.

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