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.
Product Identifiers
Publisher
Taylor & Francis INC International Concepts
ISBN-13
9781498769273
eBay Product ID (ePID)
228345616
Product Key Features
Author
Jan Vanthienen, Kristof De Witte
Publication Name
Data Analytics Applications in Education
Format
Hardcover
Language
English
Subject
Education, Computer Science
Publication Year
2017
Type
Textbook
Number of Pages
265 Pages
Dimensions
Item Height
234mm
Item Width
156mm
Item Weight
522g
Additional Product Features
Series Title
Data Analytics Applications
Country/Region of Manufacture
United States
Editor
Jan Vanthienen, Kristof De Witte
Best Selling in Textbooks
Current slide {CURRENT_SLIDE} of {TOTAL_SLIDES}- Best Selling in Textbooks