Advancing The Power Of Learning Analytics And Big Data In Education

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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 : 45,5 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.

Emerging Trends in Learning Analytics

Anonim
Emerging Trends in Learning Analytics Book PDF

Author : Anonim
Publisher : BRILL
Page : 297 pages
File Size : 51,7 Mb
Release : 2019-05-07
Category : Education
ISBN : 9789004399273

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Emerging Trends in Learning Analytics by Anonim Pdf

This book documents recent attempts to conduct systematic, prodigious and multidisciplinary research in learning analytics and present their findings and identify areas for further research and development. The book also unveils the distinguished and exemplary works by educators and researchers in the field highlighting the current trends, privacy and ethical issues, creative and unique approaches, innovative methods, frameworks, and theoretical and practical aspects of learning analytics.

Adoption of Data Analytics in Higher Education Learning and Teaching

Dirk Ifenthaler,David Gibson
Adoption of Data Analytics in Higher Education Learning and Teaching Book PDF

Author : Dirk Ifenthaler,David Gibson
Publisher : Springer Nature
Page : 464 pages
File Size : 44,5 Mb
Release : 2020-08-10
Category : Education
ISBN : 9783030473921

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Adoption of Data Analytics in Higher Education Learning and Teaching by Dirk Ifenthaler,David Gibson Pdf

The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to improve personalization, access and effectiveness of education for all. Currently, higher education institutions and involved stakeholders can derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful information out of a large collection of complex educational datasets while learning analytics emphasizes insights and responses to real-time learning processes based on educational information from digital learning environments, administrative systems, and social platforms. This volume provides insight into the emerging paradigms, frameworks, methods and processes of managing change to better facilitate organizational transformation toward implementation of educational data mining and learning analytics. It features current research exploring the (a) theoretical foundation and empirical evidence of the adoption of learning analytics, (b) technological infrastructure and staff capabilities required, as well as (c) case studies that describe current practices and experiences in the use of data analytics in higher education.

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 : 42,6 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.

Online Learning Analytics

Jay Liebowitz
Online Learning Analytics Book PDF

Author : Jay Liebowitz
Publisher : CRC Press
Page : 248 pages
File Size : 52,8 Mb
Release : 2021-12-13
Category : Education
ISBN : 9781000539004

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Online Learning Analytics by Jay Liebowitz Pdf

"In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care holds the potential to help more and more diverse students be more successful on higher education journeys than ever before. Jay Liebowitz and a cadre of the fields best ‘good trouble’ makers in this space help shine a light on the possibilities, potential challenges, and the power of learning together in this work." —Mark David Milliron, Ph.D., Senior Vice President and Executive Dean of the Teachers College, Western Governors University Due to the COVID-19 pandemic and its aftereffects, we have begun to enter the "new normal" of education. Instead of online learning being an "added feature" of K–12 schools and universities worldwide, it will be incorporated as an essential feature in education. There are many questions and concerns from parents, students, teachers, professors, administrators, staff, accrediting bodies, and others regarding the quality of virtual learning and its impact on student learning outcomes. Online Learning Analytics is conceived on trying to answer the questions of those who may be skeptical about online learning. Through better understanding and applying learning analytics, we can assess how successful learning and student/faculty engagement, as examples, can contribute towards producing the educational outcomes needed to advance student learning for future generations. Learning analytics has proven to be successful in many areas, such as the impact of using learning analytics in asynchronous online discussions in higher education. To prepare for a future where online learning plays a major role, this book examines: Data insights for improving curriculum design, teaching practice, and learning Scaling up learning analytics in an evidence-informed way The role of trust in online learning. Online learning faces very real philosophical and operational challenges. This book addresses areas of concern about the future of education and learning. It also energizes the field of learning analytics by presenting research on a range of topics that is broad and recognizes the humanness and depth of educating and learning.

Big Data in Education

Ben Williamson
Big Data in Education Book PDF

Author : Ben Williamson
Publisher : SAGE
Page : 290 pages
File Size : 45,5 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 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 : 50,8 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​.

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 : 52,9 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.

Learning Analytics in Higher Education

Jaime Lester,Carrie Klein,Aditya Johri,Huzefa Rangwala
Learning Analytics in Higher Education Book PDF

Author : Jaime Lester,Carrie Klein,Aditya Johri,Huzefa Rangwala
Publisher : Routledge
Page : 200 pages
File Size : 50,6 Mb
Release : 2018-08-06
Category : Education
ISBN : 9781351400527

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Learning Analytics in Higher Education by Jaime Lester,Carrie Klein,Aditya Johri,Huzefa Rangwala Pdf

Learning Analytics in Higher Education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment. Well-known contributors provide empirical, theoretical, and practical perspectives on the current use and future potential of learning analytics for student learning and data-driven decision-making, ways to effectively evaluate and research learning analytics, integration of learning analytics into practice, organizational barriers and opportunities for harnessing Big Data to create and support use of these tools, and ethical considerations related to privacy and consent. Designed to give readers a practical and theoretical foundation in learning analytics and how data can support student success in higher education, this book is a valuable resource for scholars and administrators.

Big Data in Education

Ben Williamson (Educator)
Big Data in Education Book PDF

Author : Ben Williamson (Educator)
Publisher : Unknown
Page : 240 pages
File Size : 50,7 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!

Learning Analytics Explained

Niall Sclater
Learning Analytics Explained Book PDF

Author : Niall Sclater
Publisher : Routledge
Page : 278 pages
File Size : 51,8 Mb
Release : 2017-02-17
Category : Education
ISBN : 9781317394556

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Learning Analytics Explained by Niall Sclater Pdf

Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field.

Internet of Things and Fog Computing-Enabled Solutions for Real-Life Challenges

Anil Saroliya,Ajay Rana,Vivek Kumar,José Sebastián Gutiérrez Calderón,Senthil Athithan
Internet of Things and Fog Computing Enabled Solutions for Real Life Challenges Book PDF

Author : Anil Saroliya,Ajay Rana,Vivek Kumar,José Sebastián Gutiérrez Calderón,Senthil Athithan
Publisher : CRC Press
Page : 205 pages
File Size : 44,7 Mb
Release : 2022-12-29
Category : Technology & Engineering
ISBN : 9781000805390

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Internet of Things and Fog Computing-Enabled Solutions for Real-Life Challenges by Anil Saroliya,Ajay Rana,Vivek Kumar,José Sebastián Gutiérrez Calderón,Senthil Athithan Pdf

In today’s world, the use of technology is growing rapidly, and people need effective solutions for their real-life problems. This book discusses smart applications of associated technologies to develop cohesive and comprehensive solutions for the betterment of humankind. It comprehensively covers the effective use of the Internet of Things (IoT), wireless sensor network, wearable sensors, body area network, cloud computing, and distributed computing methodologies. The book comprehensively covers IoT and fog computing sensor supported technologies or protocols including web of things, near-field communication, 6LoWPAN, LoRAWAN, XMPP, DDS, LwM2M, Mesh Protocol, and radio-frequency identification. The book- Discusses smart applications to develop cohesive and comprehensive solutions for real-life problems. Covers analytical descriptions with appropriate simulation and prototype models. Examines the role of IoT and fog computing technologies during global emergency situations. Discusses key technologies including cloud computing, 5G communication, big data, artificial intelligence, control systems, and wearable sensors. The text is primarily written for graduate students, and academic researchers working in diverse fields of electrical engineering, biomedical engineering, electronics and communication engineering, computer engineering, and information technology.

Handbook of Research on Analyzing IT Opportunities for Inclusive Digital Learning

Ordóñez de Pablos, Patricia,Almunawar, Mohammad Nabil,Chui, Kwok Tai,Kaliannan, Maniam
Handbook of Research on Analyzing IT Opportunities for Inclusive Digital Learning Book PDF

Author : Ordóñez de Pablos, Patricia,Almunawar, Mohammad Nabil,Chui, Kwok Tai,Kaliannan, Maniam
Publisher : IGI Global
Page : 403 pages
File Size : 40,5 Mb
Release : 2021-06-18
Category : Education
ISBN : 9781799871866

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Handbook of Research on Analyzing IT Opportunities for Inclusive Digital Learning by Ordóñez de Pablos, Patricia,Almunawar, Mohammad Nabil,Chui, Kwok Tai,Kaliannan, Maniam Pdf

The outbreak of the pandemic around the world came with national measures to deal with the health emergency that caused and will continue to cause important disruption in education for students, teachers, and policymakers. Digital technologies can provide innovative solutions that can prevent the negative effects of lockdowns of countries and regions on education. It is important to analyze digital solutions and experiences for distance learning and to better understand the available resources and best practices to deal effectively with the challenges of digital learning for both learners and academic staff. It is important that countries promote digital excellence and explore the opportunities that information technologies can provide to education institutions, especially in the post-pandemic scenario, and the major transformations it will bring to citizens, societies, and economies. The Handbook of Research on Analyzing IT Opportunities for Inclusive Digital Learning explores the new demands of labor markets in the digital economy, how educational institutions can respond to these new opportunities and threats, the development of new teaching and learning methods, and finally, the development of digital skills and competences. It also discusses the challenges and opportunities caused by the pandemic in the area of education and how information technologies can transform education and develop a new workforce with the required digital skills and competences and knowledge to fit the post-pandemic labor market. This book highlights topics including knowledge management systems, learning technologies, personalized learning, and more within the context of diverse student populations. It is a valuable reference tool for academics, researchers, lecturers, decision makers, policymakers, and practitioners interested in new theories, research findings, and case studies for understanding inclusive digital learning and the opportunities for digital technologies in education.

Handbook of Research on the Global Empowerment of Educators and Student Learning Through Action Research

Slapac, Alina,Balcerzak, Phyllis,O'Brien, Kathryn
Handbook of Research on the Global Empowerment of Educators and Student Learning Through Action Research Book PDF

Author : Slapac, Alina,Balcerzak, Phyllis,O'Brien, Kathryn
Publisher : IGI Global
Page : 469 pages
File Size : 47,8 Mb
Release : 2021-05-07
Category : Education
ISBN : 9781799869245

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Handbook of Research on the Global Empowerment of Educators and Student Learning Through Action Research by Slapac, Alina,Balcerzak, Phyllis,O'Brien, Kathryn Pdf

The year 2020 brought an unprecedented worldwide health crisis through the COVID-19 pandemic that has been affecting all sectors, including education. There were questions surrounding the effectiveness of online trainings for teachers, online teaching practices, the motivation and engagement of students, and the quality of learning and education in these times. Action research emerged to address these concerns, being a systematic process of inquiry using reflection within a cyclical model of planning, acting, implementing, evaluating, and continuous reflection. This method of research is employed with the expertise and passion from educators to better enhance online practices and education while using authentic learning and experiences. Using collaboration, social advocacy, and action research, there is the opportunity to advance teaching for students, families, and communities without a physical context involved. The Handbook of Research on the Global Empowerment of Educators and Student Learning Through Action Research explores successful teaching and learning skills through the method of action research and intersects it with online learning in order to uncover best teaching practices in online platforms. This book showcases educational professionals’ action research for solutions in advancing teaching and learning, the practical benefits of action research, recommendations for improving online teaching and learning, and a focus on professional growth as well as social justice advocacy. It highlights important topics including student learning, teacher collaboration, authentic learning, advocacy, and action research in both K-12 and higher education settings. This book is ideal for inservice and preservice teachers, administrators, teacher educators, practitioners, researchers, academicians, and students interested in how action research is improving and advancing knowledge on the best teaching practices for online education.

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 : 50,8 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.