Data Analytics Applications in Education
暫譯: 教育中的數據分析應用
- 出版商: Auerbach Publication
- 出版日期: 2017-09-27
- 售價: $5,230
- 貴賓價: 9.5 折 $4,969
- 語言: 英文
- 頁數: 275
- 裝訂: Hardcover
- ISBN: 1498769276
- ISBN-13: 9781498769273
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
商品描述
The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience.
As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback, or by enriching the learning experience. Second, data analytics can be used to support the instructor or teacher. Using data analytics, the instructor can better trace, and take targeted actions to improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for policy makers, it is often unclear how schools use their available resources to "produce" outcomes. By combining structured and unstructured data from various sources, data analytics might provide a solution for governments that aim to monitor the performance of schools more closely.
Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities, issues, and normative questions with a multidisciplinary team of pedagogists, philosophers, computer scientists, and sociologists. By bringing together various disciplines, a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich, multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom.
商品描述(中文翻譯)
資料的豐富性以及新量化和統計技術的興起創造了一個充滿潛力的領域:數據分析。這種以數據驅動決策的文化與包含領域知識的技術相結合,使得組織能夠在評估和決策過程中利用大數據分析。此外,在教育和學習中,大數據分析被用來增強學習過程、評估效率、改善反饋以及豐富學習體驗。
由於學生在網上世界中的每一步都可以被追蹤、分析和利用,因此有許多機會來改善學生的學習過程。首先,數據分析技術可以通過提供即時反饋或豐富學習體驗來增強學生的學習過程。其次,數據分析可以用來支持講師或教師。利用數據分析,講師可以更好地追蹤學生的學習過程,並採取有針對性的行動來改善學習效果。第三,還可以利用數據分析來衡量講師的表現。最後,對於政策制定者來說,學校如何利用可用資源來“產出”結果往往不清楚。通過結合來自各種來源的結構化和非結構化數據,數據分析可能為政府提供一種解決方案,以更密切地監控學校的表現。
教育中的數據分析不應該是單一學科的領域。經濟學家應該與多學科的教育學家、哲學家、計算機科學家和社會學家討論可能性、問題和規範性問題。通過將各種學科結合在一起,可以對未來的挑戰形成更全面的回答。本書通過強調一些關於教育中數據分析使用的經濟學視角,開始了這一討論。本書展開了一場豐富的多學科討論,使得教育中的數據分析看起來就像教師在教室前面一樣自然。