Big Data in Education: Pedagogy and Research

Big Data in Education: Pedagogy and Research
Author :
Publisher : Springer Nature
Total Pages : 249
Release :
ISBN-10 : 9783030768416
ISBN-13 : 3030768414
Rating : 4/5 (414 Downloads)

Book Synopsis Big Data in Education: Pedagogy and Research by : Theodosia Prodromou

Download or read book Big Data in Education: Pedagogy and Research written by Theodosia Prodromou and published by Springer Nature. This book was released on 2021-10-04 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use of learning analytics to improve learning and teaching; 2) the opportunities and challenges of learning analytics in education. As Big Data becomes a common part of the fabric of our world, education and research are challenged to use this data to improve educational and research systems, and also are tasked with teaching coming generations to deal with Big Data both effectively and ethically. The Big Data era is changing the data landscape for statistical analysis, the ways in which data is captured and presented, and the necessary level of statistical literacy to analyse and interpret data for future decision making. The advent of Big Data accentuates the need to enable citizens to develop statistical skills, thinking and reasoning needed for representing, integrating and exploring complex information. This book offers guidance to researchers who are seeking suitable topics to explore. It presents research into the skills needed by data practitioners (data analysts, data managers, statisticians, and data consumers, academics), and provides insights into the statistical skills, thinking and reasoning needed by educators and researchers in the future to work with Big Data. This book serves as a concise reference for policymakers, who must make critical decisions regarding funding and applications.


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