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Big Data in Education: Pedagogy and Research (Policy Implications of Research in Education)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Big Data in Education: Pedagogy and Research
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Big Data in Education: Pedagogy and Research
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Big Data In Education: Pedagogy And Rese
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Paperback. Condition: Brand New. 259 pages. 9.25x6.10x0.71 inches. In Stock.
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Augmented Reality in Educational Settings
First Edition
Condition: New. Über den AutorTheodosia Prodromou, Ph.D., The University of Warwick, United Kingdom. Dr Prodromou is a senior lecturer of Mathematics Education at the University of New England in Australia. She has published numerous journal.
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Condition: New.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 484 | Sprache: Englisch | Produktart: Bücher | This book is intended to provide teachers and researchers with a wide range of ideas from researchers working to integrate the new technology of Augmented Reality into educational settings and processes.
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Taschenbuch. Condition: Neu. Big Data in Education: Pedagogy and Research | Theodosia Prodromou | Taschenbuch | Policy Implications of Research in Education | xii | Englisch | 2022 | Springer | EAN 9783030768430 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Big Data in Education: Pedagogy and Research
Language: English
Published by Springer International Publishing, 2022
ISBN 10: 3030768430 ISBN 13: 9783030768430
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 (dataanalysts, data managers, statisticians, and data consumers, academics),and provides insights into the statistical skills, thinking andreasoning needed by educators and researchers in the future to work withBig Data.This book serves as a concise reference for policymakers, who must make critical decisions regarding funding and applications.
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Big Data in Education: Pedagogy and Research (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030768406 ISBN 13: 9783030768409
Hardcover. Condition: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Condition: Neu. Neuware - New digital technologies offer many exciting opportunities to educators who are looking to develop better teaching practices. When technologies are new, however, the potential for beneficial and effective implementations and applications is not yet fully recognized. This book is intended to provide teachers and researchers with a wide range of ideas from researchers working to integrate the new technology of Augmented Reality into educational settings and processes. It is hoped that the research and theory presented here can support both teachers and researchers in future work with this exciting new technology. Contributors are: Miriam Adamková, Gilles Aldon, Panayiota Anastasi, Ferdinando Arzarello, Martina Babinská, Robert Bohdal, Francisco Botana, Constadina Charalambous, Eva Csandova, Omer Deperlioglu, Monika Dillingerová, Christos Dimopoulos, Jiri Dostal, Jihad El-Sana, Michael N. Fried, Maria Fuchsová, Marianthi Grizioti, Tomas Hlava, Markus Hohenwarter, Katerina Jancaríková, Konstantinos Katzis, Lilla Korenova, Utku Köse, Zoltán Kovács, Blanka Kozík Lehotayová, Maria Kozuchová, Chronis Kynigos, Ilona-Elefteryja Lasica, Zsolt Lavicza, Álvaro Martínez, Efstathios Mavrotheris, Katerina Mavrou, Maria Meletiou-Mavrotheris, Georgios Papaioannou, Miroslava Pirhácová Lapsanská, Stavros Pitsikalis, Corinne Raffin, Tomás Recio, Cristina Sabena, Florian Schacht, Eva Severini, Martina Siposova, Zacharoula Smyrnaiou, Nayia Stylianidou, Osama Swidan, Christos Tiniakos, Melanie Tomaschko, Renata Tothova, Christina Vasou, and Ibolya Veress-Bágyi.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 260 | Sprache: Englisch | Produktart: Bücher | 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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Condition: New.
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Hardcover. Condition: Brand New. 247 pages. 9.75x6.50x0.75 inches. In Stock.
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Big Data in Education: Pedagogy and Research
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030768406 ISBN 13: 9783030768409
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 (dataanalysts, data managers, statisticians, and data consumers, academics),and provides insights into the statistical skills, thinking andreasoning needed by educators and researchers in the future to work withBig Data.This book serves as a concise reference for policymakers, who must make critical decisions regarding funding and applications.
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Augmented Reality in Educational Settings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Data Visualization and Statistical Literacy for Open and Big Data
Language: English
Published by Information Science Reference, 2017
ISBN 10: 1522525122 ISBN 13: 9781522525127
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Data Visualization and Statistical Literacy for Open and Big Data (Advances in Data Mining and Database Management)
Language: English
Published by Information Science Reference, 2017
ISBN 10: 1522525122 ISBN 13: 9781522525127
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Data Visualization and Statistical Literacy for Open and Big Data
Language: English
Published by Information Science Reference, 2017
ISBN 10: 1522525122 ISBN 13: 9781522525127
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Augmented Reality in Educational Settings
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Add to basketCondition: As New. Unread book in perfect condition.
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Data Visualization and Statistical Literacy for Open and Big Data
Language: English
Published by Information Science Reference, 2017
ISBN 10: 1522525122 ISBN 13: 9781522525127
Condition: As New. Unread book in perfect condition.
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Data Visualization and Statistical Literacy for Open and Big Data
Language: English
Published by Information Science Reference, 2017
ISBN 10: 1522525122 ISBN 13: 9781522525127
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Data Visualization and Statistical Literacy for Open and Big Data
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Add to basketHardback. Condition: New.
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Augmented Reality in Educational Settings
First Edition
Condition: New. Über den AutorTheodosia Prodromou, Ph.D., The University of Warwick, United Kingdom. Dr Prodromou is a senior lecturer of Mathematics Education at the University of New England in Australia. She has published numerous journal.
