Big Data In Education Pedagogy And Research

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Big Data in Education: Pedagogy and Research

Theodosia Prodromou
Big Data in Education Pedagogy and Research Book PDF

Author : Theodosia Prodromou
Publisher : Springer Nature
Page : 249 pages
File Size : 52,7 Mb
Release : 2021-10-04
Category : Education
ISBN : 9783030768416

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Big Data in Education: Pedagogy and Research by Theodosia Prodromou Pdf

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.

Big Data in Education: Pedagogy and Research

Theodosia Prodromou
Big Data in Education Pedagogy and Research Book PDF

Author : Theodosia Prodromou
Publisher : Unknown
Page : 0 pages
File Size : 50,5 Mb
Release : 2021
Category : Electronic
ISBN : 3030768422

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Big Data in Education: Pedagogy and Research by Theodosia Prodromou Pdf

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. .

Big Data in Education

Ben Williamson
Big Data in Education Book PDF

Author : Ben Williamson
Publisher : SAGE
Page : 290 pages
File Size : 52,9 Mb
Release : 2017-07-24
Category : Education
ISBN : 9781526416322

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Big Data in Education by Ben Williamson Pdf

Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!

Big Data in Education

Ben Williamson (Educator)
Big Data in Education Book PDF

Author : Ben Williamson (Educator)
Publisher : Unknown
Page : 240 pages
File Size : 47,5 Mb
Release : 2017
Category : Big data
ISBN : 1529714923

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Big Data in Education by Ben Williamson (Educator) Pdf

Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: • The role of learning analytics and educational data science in schools • A critical appreciation of code, algorithms and infrastructures • The rise of 'cognitive classrooms', and the practical application of computational algorithms to learning environments • Important digital research methods issues for researchers This is essential reading for anyone studying or working in today's education environment!

Teaching Data Analytics

Susan A Vowels,Katherine Leaming Goldberg
Teaching Data Analytics Book PDF

Author : Susan A Vowels,Katherine Leaming Goldberg
Publisher : CRC Press
Page : 202 pages
File Size : 43,9 Mb
Release : 2019-06-17
Category : Computers
ISBN : 9781351721455

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Teaching Data Analytics by Susan A Vowels,Katherine Leaming Goldberg Pdf

The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area. The very size and continuing growth of this need means that there is still space for new program development. Schools wishing to pursue business analytics programs intentionally assess the maturity level of their programs and take steps to close the gap. Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators seeking direction about adding or enhancing analytics offerings at their institutions. It provides guidance by examining best practices from the perspectives of faculty and practitioners. By emphasizing the connection of data analytics to organizational success, it reviews the position of analytics and decision science programs in higher education, and to review the critical connection between this area of study and career opportunities. The book features: A variety of perspectives ranging from the scholarly theoretical to the practitioner applied An in-depth look into a wide breadth of skills from closely technology-focused to robustly soft human connection skills Resources for existing faculty to acquire and maintain additional analytics-relevant skills that can enrich their current course offerings. Acknowledging the dichotomy between data analytics and data science, this book emphasizes data analytics rather than data science, although the book does touch upon the data science realm. Starting with industry perspectives, the book covers the applied world of data analytics, covering necessary skills and applications, as well as developing compelling visualizations. It then dives into pedagogical and program design approaches in data analytics education and concludes with ideas for program design tactics. This reference is a launching point for discussions about how to connect industry’s need for skilled data analysts to higher education’s need to design a rigorous curriculum that promotes student critical thinking, communication, and ethical skills. It also provides insight into adding new elements to existing data analytics courses and for taking the next step in adding data analytics offerings, whether it be incorporating additional analytics assignments into existing courses, offering one course designed for undergraduates, or an integrated program designed for graduate students.

Data Mining and Learning Analytics

Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
Data Mining and Learning Analytics Book PDF

Author : Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 46,5 Mb
Release : 2016-09-20
Category : Computers
ISBN : 9781118998212

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Data Mining and Learning Analytics by Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane Pdf

Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

Big Data and Learning Analytics in Higher Education

Ben Kei Daniel
Big Data and Learning Analytics in Higher Education Book PDF

Author : Ben Kei Daniel
Publisher : Springer
Page : 272 pages
File Size : 49,9 Mb
Release : 2016-08-27
Category : Education
ISBN : 9783319065205

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Big Data and Learning Analytics in Higher Education by Ben Kei Daniel Pdf

​This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning​. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns​.

Learning With Big Data

Viktor Mayer-Schönberger,Kenneth Cukier
Learning With Big Data Book PDF

Author : Viktor Mayer-Schönberger,Kenneth Cukier
Publisher : HarperCollins
Page : 60 pages
File Size : 50,5 Mb
Release : 2014-03-04
Category : Education
ISBN : 9780544355507

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Learning With Big Data by Viktor Mayer-Schönberger,Kenneth Cukier Pdf

Homework assignments that learn from students. Courses tailored to fit individual pupils. Textbooks that talk back. This is tomorrow’s education landscape, thanks to the power of big data. These advances go beyond online courses. As the New York Times-bestselling authors of Big Data explain, the truly fascinating changes are actually occurring in how we measure students’ progress and how we can use that data to improve education for everyone, in real time, both on- and offline. Learning with Big Data offers an eye-opening, insight-packed tour through these new trends, for educators, administrators, and readers interested in the latest developments in business and technology.

Learning to Live with Datafication

Luci Pangrazio,Julian Sefton-Green
Learning to Live with Datafication Book PDF

Author : Luci Pangrazio,Julian Sefton-Green
Publisher : Routledge
Page : 272 pages
File Size : 48,6 Mb
Release : 2022-03-13
Category : Education
ISBN : 9781000541663

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Learning to Live with Datafication by Luci Pangrazio,Julian Sefton-Green Pdf

As digital technologies play a key role across all aspects of our societies and in everyday life, teaching students about data is becoming increasingly important in schools and universities around the world. Bringing together international case studies of innovative responses to datafication, this book sets an agenda for how teachers, students and policy makers can best understand what kind of educational intervention works and why. Learning to Live with Datafication is unique in its focus on educational responses to datafication as well as critical analysis. Through case studies grounded in empirical research and practice, the book explores the dimensions of datafication from diverse perspectives that bring in a range of cultural aspects. It examines how educators conceptualise the social implications of datafication and what is at stake for learners and citizens as educational institutions try to define what datafication will mean for the next generation. Written by international leaders in this emerging field, this book will be of interest to teacher educators, researchers and post graduate students in education who have an interest in datafication and data literacies.

Advancing the Power of Learning Analytics and Big Data in Education

Azevedo, Ana,Azevedo, José Manuel,Onohuome Uhomoibhi, James,Ossiannilsson, Ebba
Advancing the Power of Learning Analytics and Big Data in Education Book PDF

Author : Azevedo, Ana,Azevedo, José Manuel,Onohuome Uhomoibhi, James,Ossiannilsson, Ebba
Publisher : IGI Global
Page : 296 pages
File Size : 51,5 Mb
Release : 2021-03-19
Category : Education
ISBN : 9781799871040

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Advancing the Power of Learning Analytics and Big Data in Education by Azevedo, Ana,Azevedo, José Manuel,Onohuome Uhomoibhi, James,Ossiannilsson, Ebba Pdf

The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Education provides insights concerning the use of learning analytics, the role and impact of analytics on education, and how learning analytics are designed, employed, and assessed. The chapters will discuss factors affecting learning analytics such as human factors, geographical factors, technological factors, and ethical and legal factors. This book is ideal for teachers, administrators, teacher educators, practitioners, stakeholders, researchers, academicians, and students interested in the use of big data and learning analytics for improved student success and educational environments.

Data Mining and Learning Analytics

Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
Data Mining and Learning Analytics Book PDF

Author : Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 45,7 Mb
Release : 2016-09-26
Category : Computers
ISBN : 9781118998236

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Data Mining and Learning Analytics by Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane Pdf

Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

Teaching Data Analytics

Susan A Vowels,Katherine Leaming Goldberg
Teaching Data Analytics Book PDF

Author : Susan A Vowels,Katherine Leaming Goldberg
Publisher : CRC Press
Page : 191 pages
File Size : 52,7 Mb
Release : 2019-06-17
Category : Computers
ISBN : 9781351721448

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Teaching Data Analytics by Susan A Vowels,Katherine Leaming Goldberg Pdf

The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area. The very size and continuing growth of this need means that there is still space for new program development. Schools wishing to pursue business analytics programs intentionally assess the maturity level of their programs and take steps to close the gap. Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators seeking direction about adding or enhancing analytics offerings at their institutions. It provides guidance by examining best practices from the perspectives of faculty and practitioners. By emphasizing the connection of data analytics to organizational success, it reviews the position of analytics and decision science programs in higher education, and to review the critical connection between this area of study and career opportunities. The book features: A variety of perspectives ranging from the scholarly theoretical to the practitioner applied An in-depth look into a wide breadth of skills from closely technology-focused to robustly soft human connection skills Resources for existing faculty to acquire and maintain additional analytics-relevant skills that can enrich their current course offerings. Acknowledging the dichotomy between data analytics and data science, this book emphasizes data analytics rather than data science, although the book does touch upon the data science realm. Starting with industry perspectives, the book covers the applied world of data analytics, covering necessary skills and applications, as well as developing compelling visualizations. It then dives into pedagogical and program design approaches in data analytics education and concludes with ideas for program design tactics. This reference is a launching point for discussions about how to connect industry’s need for skilled data analysts to higher education’s need to design a rigorous curriculum that promotes student critical thinking, communication, and ethical skills. It also provides insight into adding new elements to existing data analytics courses and for taking the next step in adding data analytics offerings, whether it be incorporating additional analytics assignments into existing courses, offering one course designed for undergraduates, or an integrated program designed for graduate students.

Big Data in Education

Emelyn Cereno Wagan
Big Data in Education Book PDF

Author : Emelyn Cereno Wagan
Publisher : Society Publishing
Page : 0 pages
File Size : 47,6 Mb
Release : 2017-11
Category : Big data
ISBN : 1773613308

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Big Data in Education by Emelyn Cereno Wagan Pdf

Big data is a term that is used to refer to the massive amount of data that is being generated today. With more and more people getting connected through the internet, the rate of generation of data has increased rapidly. Different types of industries are continuously shifting towards the analysis of big data to generate insights that can help them make better decisions. Nowadays, big data technology is seen as an important tool in the field of education. There has been a considerable shift from the traditional teaching programs to the use of efficient online educational tools to expand the reach of education. Big data technology can be used to assess the date generated through the use of these educational tools to make better policies.Education has always been a top-rated agenda in any policy making and data has become a key asset for many economies today. Big Data (BD) has been considered as a matter of a priority in scientific research, industrial implications, and public sectors than the education sector. Big data helps us take a step forward in the field of education to reach out to all the impossibilities that lies within it. By using big data analytics wisely, we can provide a more personalized learning experience to the young generation.Though the internet already had a major impact on the way students collect information and the way they carry out research, recently, attention is now turning to the potential of big data through which it can help to radically transform the structure of the educational landscape. It could, for an instance, provide educators with the paramount information about the customized needs of individual students and how to customize learning by enabling educators to keep a track on students' progress more accurately so that courses can be designed to meet the specific needs of the learners.This book is proposed to be a reference material, which will throw light on the vast field of big data and its application in the field of education.The first chapter gives an overview about the tools and techniques related to big data and its application in the field of education. The next chapter talks about the various data mining methods that can be used in the field of education. The fourth chapter discusses the evolution of big data technology over the years. Chapter 5 highlights the various applications of big data in the field of education. Subsequently, we discuss the challenges and applications of big data in education. Chapter 8 discusses the future prospects of big data technology in the education sector. It also focusses on the digital education sector. The last chapter of the book discusses several case studies related to the implementation of big data and the associated challenges.This book addresses the issues which are faced by the researchers in the field of big data in education such as increasing the effectiveness of educators, wisely harnessing the fruitful insights from the learning experiences, making sure to deliver the quality education to all which is tailor made according to the needs of an individual learner and making students well equipped with the relevant skills as required for their future careers needs. Overall, this book will help to provide guidance on the complete structure of the big data problems and its solution in the education sector.

Big Data in Education

Ben Williamson
Big Data in Education Book PDF

Author : Ben Williamson
Publisher : SAGE
Page : 257 pages
File Size : 46,5 Mb
Release : 2017-07-24
Category : Education
ISBN : 9781526416346

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Big Data in Education by Ben Williamson Pdf

This cutting-edge overview explores big data and the related topic of computer code, examining the implications for education and schooling for today and the near future.

Advancing the Power of Learning Analytics and Big Data in Education

Ana Azevedo,Jose Manuel Azevedo,J. O. Uhomoibhi,Ebba Ossiannilsson
Advancing the Power of Learning Analytics and Big Data in Education Book PDF

Author : Ana Azevedo,Jose Manuel Azevedo,J. O. Uhomoibhi,Ebba Ossiannilsson
Publisher : Information Science Reference
Page : 324 pages
File Size : 51,8 Mb
Release : 2021
Category : Computer-assisted instruction
ISBN : 1799885658

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Advancing the Power of Learning Analytics and Big Data in Education by Ana Azevedo,Jose Manuel Azevedo,J. O. Uhomoibhi,Ebba Ossiannilsson Pdf

"This book reports on the role and impact of learning analytics training and development in education, investigating how various stakeholders are engaged in the design, deployment and assessment of successful and sustainable learning analytics"--