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E_教育學院

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1132教育統計學(二) D組(Educational Statistics (II) D group)
t45003譚克平

1132教育統計學(二) D組(Educational Statistics (II) D group)

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1132科技化教學產業見習與創新(The Current and Future of the Edtech Industry: Practices and Innovations)
CRTsai蔡其瑞hongjc洪榮昭momocodaisy鄭育文steven周業太

1132科技化教學產業見習與創新(The Current and Future of the Edtech Industry: Practices and Innovations)

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1132社區高齡者服務實習(Elderly Health Service Practicum)
alexwjb吳振邦honesto蔡昕璋

1132社區高齡者服務實習(Elderly Health Service Practicum)

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1132教育統計學(二) E組(Educational Statistics (II) E group)
chaopc趙本強

1132教育統計學(二) E組(Educational Statistics (II) E group)

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1132教育統計學(二) A組(Educational Statistics (II) A group)
poyichen陳柏邑

1132教育統計學(二) A組(Educational Statistics (II) A group)

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1132教育統計學(一) B組(Educational Statistics (I) B group)
chunyukuo郭郡羽

1132教育統計學(一) B組(Educational Statistics (I) B group)

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1132教育統計學(二) C組(Educational Statistics (II) C group)
ptm110_13619張凌嘉

1132教育統計學(二) C組(Educational Statistics (II) C group)

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1132高級教育統計學(甲)(Advanced Educational Statistics (A))
abbycDr. Yu-Ling Abby Chang

1132高級教育統計學(甲)(Advanced Educational Statistics (A))

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1132貝氏統計(Bayesian Statistics)
Hawjeng Chiou邱皓政

1132貝氏統計(Bayesian Statistics)

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1132教育研究論文寫作(Academic Writing for Education Research)
tsaicc蔡今中tzungjinlin林宗進

1132教育研究論文寫作(Academic Writing for Education Research)

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1132階層線性模式(Hierachical Linear Models)
linsh林世華

1132階層線性模式(Hierachical Linear Models)

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1132教育統計學(二) B組(Educational Statistics (II) B group)
chilin570吳清麟

1132教育統計學(二) B組(Educational Statistics (II) B group)

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1132 Educational Statistics (I)
pyu余穎麒

1132 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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1132高級統計資料處理與分析(Advanced Statistical Data Processing and Analysis)
hrg何榮桂

1132高級統計資料處理與分析(Advanced Statistical Data Processing and Analysis)

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