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Big Data in Education: Pedagogy and Research / edited by Theodosia Prodromou
(Policy Implications of Research in Education. ISSN:25430297 ; 13)

資料タイプ 電子ブック
1st ed. 2021.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2021
大きさ XII, 247 p. 77 illus., 50 illus. in color : online resource

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教育図:電子ブック
OB0036710 国立教育政策研究所職員限定で利用できます

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一般注記 Part 1: Theoretical and ethical concerns -- 1 Big Data in academic research—Challenges, pitfalls, and opportunities -- Part 2: Teaching people to use Big Data effectively -- 2 Big Data for Early Learners -- 3 Using Big Data in a Master of Applied Statistics unit -- 4 Statistical education as part of the digital transformation of statistical offices -- Part 3: Using Big Data to improve teaching -- 5 Big data, analytics and education: Challenges, opportunities and an example from a large university unit -- 6 Enhancing learning outcomes with ‘big data’ from pedagogy for conceptual thinking with meaning equivalence reusable learning objects (MERLO) and interactive concept discovery (INCOD) -- 7 Employing Authentic Analytics for More Authentic Tasks -- 8 Learning from Learning Analytics: How much do we know about patterns of student engagement? -- Part 4: Educational systems that use Big Data -- 9 Museum Big Data: Perceptions and practices -- 10 Analysing aspects of Brazilian curricula for teaching statistics involving Big Data -- Part 5: Concluding Comments
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.
HTTP:URL=https://doi.org/10.1007/978-3-030-76841-6
著者標目 Prodromou, Theodosia editor
SpringerLink (Online service)
件 名 LCSH:Educational tests and measurements
LCSH:Education -- Curricula  全ての件名で検索
LCSH:Education, Higher
LCSH:Continuing education
FREE:Assessment and Testing
FREE:Curriculum Studies
FREE:Higher Education
FREE:Lifelong Learning
分 類 LCC:LB3050-3060.87
DC23:371.26
書誌ID EB16354956
ISBN 9783030768416

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