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篇名 |
解读教育数据智慧
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並列篇名 | Interpreting Educational Data Wisdom |
作者 | 祝智庭、彭紅超、雷雲鶴 |
英文摘要 | Big data has received widespread attention in society. There is a huge population of teachers and students in the field of education, and the potential value of educational data is also very large. Due to the increasingly apparent limitations of big data , some concepts , such as small data , all data , fast data , actionable data, relevant data and smart data, are starting to attract the attention of data researchers. From the perspective of interpreting educational data wisdom, this paper clarifies the relationships between the above concepts. We propose the idea that big data and small data constitute all data with both data intensive and intelligence intensive. And we also propose fast data , actionable data , relevant data and smart data as the four new paradigms that highlight the potential value of big data from different perspectives. This paper is expected to provide an idea for the mining and application of educational data. |
起訖頁 | 021-029 |
關鍵詞 | 数据智慧、大数据、小数据、全数据、快数据、行数据、关数据、巧数据、暗数据、data wisdom、big data、small data、all data、fast data、actionable data、relevant data、smart data、dark data |
刊名 | 開放教育研究 |
期數 | 201710 (23:5期) |
出版單位 | 上海遠程教育集團;上海電視大學 |
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