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Data Analytics Applications In Education 1st Edition Jan Vanthienen

  • SKU: BELL-6837660
Data Analytics Applications In Education 1st Edition Jan Vanthienen
$ 31.00 $ 45.00 (-31%)

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Data Analytics Applications In Education 1st Edition Jan Vanthienen instant download after payment.

Publisher: Auerbach Publications;CRC Press
File Extension: PDF
File size: 4.37 MB
Pages: 275
Author: Jan Vanthienen, Kristof De Witte
ISBN: 9781498769273, 1498769276
Language: English
Year: 2018
Edition: 1

Product desciption

Data Analytics Applications In Education 1st Edition Jan Vanthienen by Jan Vanthienen, Kristof De Witte 9781498769273, 1498769276 instant download after payment.

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.

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