Learning Analytics

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Learning Analytics

John R Mattox II,Mark Van Buren,Jean Martin
Learning Analytics Book PDF

Author : John R Mattox II,Mark Van Buren,Jean Martin
Publisher : Kogan Page Publishers
Page : 256 pages
File Size : 49,8 Mb
Release : 2016-09-03
Category : Business & Economics
ISBN : 9780749476366

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Learning Analytics by John R Mattox II,Mark Van Buren,Jean Martin Pdf

Faced with organizations that are more dispersed, a workforce that is more diverse and the pressure to reduce costs, CEOs and CFOs are increasingly asking what the return on investment is from training and development programmes. Learning Analytics provides a framework for understanding how to work with learning analytics at an advanced level. It focuses on the questions that training evaluation is intended to answer: is training effective and how can it be improved? It discusses the field of learning analytics, outlining how and why analytics can be useful, and takes the reader through examples of approaches to answering these questions and looks at the valuable role that technology has to play. Even where technological solutions are employed, the HR or learning and development practitioner needs to understand what questions they should be asking of their data to ensure alignment between training and business needs. Learning Analytics enables both senior L&D and HR professionals as well as CEOs and CFOs to see the transformational power that effective analytics has for building a learning organization, and the impacts that this has on performance, talent management, and competitive advantage. It helps learning and development professionals to make the business case for their activities, demonstrating what is truly adding value and where budgets should be spent, and to deliver a credible service to their business by providing metrics based on which sound business decisions can be made.

Learning Analytics

Johann Ari Larusson,Brandon White
Learning Analytics Book PDF

Author : Johann Ari Larusson,Brandon White
Publisher : Springer
Page : 195 pages
File Size : 44,7 Mb
Release : 2014-07-04
Category : Education
ISBN : 9781461433057

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Learning Analytics by Johann Ari Larusson,Brandon White Pdf

In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.

Learning Analytics in the Classroom

Jason M. Lodge,Jared Cooney Horvath,Linda Corrin
Learning Analytics in the Classroom Book PDF

Author : Jason M. Lodge,Jared Cooney Horvath,Linda Corrin
Publisher : Routledge
Page : 320 pages
File Size : 41,6 Mb
Release : 2018-09-01
Category : Education
ISBN : 9781351113014

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Learning Analytics in the Classroom by Jason M. Lodge,Jared Cooney Horvath,Linda Corrin Pdf

From Data and Analytics to the Classroom presents a coherent framework for useful translation of learning analytics research for educational practice with world-leading researchers in the use of data and analytics in education applying this framework to a number of different educational domains. The aim is to provide concrete ways to apply data and analytics to everyday educational practice. Thi book serves not only as a practical tool, but also as an instructional guide for educators. Through discussion and illustration it provides educators and researchers alike with the proper tools and frameworks to effectively make sense of and use data and analytics in their everyday practice.

Learning Analytics: Fundaments, Applications, and Trends

Alejandro Peña-Ayala
Learning Analytics Fundaments Applications and Trends Book PDF

Author : Alejandro Peña-Ayala
Publisher : Springer
Page : 303 pages
File Size : 53,8 Mb
Release : 2017-02-17
Category : Technology & Engineering
ISBN : 9783319529776

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Learning Analytics: Fundaments, Applications, and Trends by Alejandro Peña-Ayala Pdf

This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

Learning Analytics Explained

Niall Sclater
Learning Analytics Explained Book PDF

Author : Niall Sclater
Publisher : Routledge
Page : 278 pages
File Size : 49,9 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.

Innovative Learning Analytics for Evaluating Instruction

Theodore W. Frick,Rodney D. Myers,Cesur Dagli,Andrew F. Barrett
Innovative Learning Analytics for Evaluating Instruction Book PDF

Author : Theodore W. Frick,Rodney D. Myers,Cesur Dagli,Andrew F. Barrett
Publisher : Routledge
Page : 136 pages
File Size : 45,9 Mb
Release : 2021-07-19
Category : Education
ISBN : 9781000454772

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Innovative Learning Analytics for Evaluating Instruction by Theodore W. Frick,Rodney D. Myers,Cesur Dagli,Andrew F. Barrett Pdf

Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students’ learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.

Learning Analytics

Gwo-Jen Hwang,Hui-Chun Chu,Chengjiu Yin
Learning Analytics Book PDF

Author : Gwo-Jen Hwang,Hui-Chun Chu,Chengjiu Yin
Publisher : Routledge
Page : 144 pages
File Size : 43,8 Mb
Release : 2018-12-18
Category : Education
ISBN : 9780429767197

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Learning Analytics by Gwo-Jen Hwang,Hui-Chun Chu,Chengjiu Yin Pdf

Learning analytics is one of the most important research issues in the field of educational technology. By analyzing logs and records in educational databases and systems, it can provide useful information to teachers, learners, and decision makers – information which they can use to improve teaching strategies, learning performances, and educational policies. However, it is a great challenge for most researchers to efficiently analyze educational data in a meaningful way. This book presents various learning analytics approaches and applications, including the process of determining the coding scheme, analyzing the collected data, and interpreting the findings. This book was originally published as a special issue of Interactive Learning Environments.

Learning Analytics Goes to School

Andrew Krumm,Barbara Means,Marie Bienkowski
Learning Analytics Goes to School Book PDF

Author : Andrew Krumm,Barbara Means,Marie Bienkowski
Publisher : Routledge
Page : 275 pages
File Size : 42,5 Mb
Release : 2018-01-12
Category : Education
ISBN : 9781317307860

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Learning Analytics Goes to School by Andrew Krumm,Barbara Means,Marie Bienkowski Pdf

Learning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use of newly available data sources and analytical approaches. The application of data-intensive research techniques to understanding and improving learning environments has been growing at a rapid pace. In this book, three leading researchers convey lessons from their own experiences—and the current state of the art in educational data mining and learning analytics more generally—by providing an explicit set of tools and processes for engaging in collaborative data-intensive improvement.

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 : 48,9 Mb
Release : 2018-04-21
Category : Education
ISBN : 3319791516

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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​.

Online Learning Analytics

Jay Liebowitz
Online Learning Analytics Book PDF

Author : Jay Liebowitz
Publisher : CRC Press
Page : 248 pages
File Size : 49,6 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.

Learning Analytics

Cristina Hall,John R. Mattox, II,Peggy Parskey
Learning Analytics Book PDF

Author : Cristina Hall,John R. Mattox, II,Peggy Parskey
Publisher : Unknown
Page : 0 pages
File Size : 42,8 Mb
Release : 2020
Category : BUSINESS & ECONOMICS
ISBN : 1789663008

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Learning Analytics by Cristina Hall,John R. Mattox, II,Peggy Parskey Pdf

Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.

A Beginner’s Guide to Learning Analytics

Srinivasa K G,Muralidhar Kurni
A Beginner s Guide to Learning Analytics Book PDF

Author : Srinivasa K G,Muralidhar Kurni
Publisher : Springer Nature
Page : 326 pages
File Size : 53,6 Mb
Release : 2021-04-19
Category : Education
ISBN : 9783030702588

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A Beginner’s Guide to Learning Analytics by Srinivasa K G,Muralidhar Kurni Pdf

This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.

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 : 48,7 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 : 48,6 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.

Visualizations and Dashboards for Learning Analytics

Muhittin Sahin,Dirk Ifenthaler
Visualizations and Dashboards for Learning Analytics Book PDF

Author : Muhittin Sahin,Dirk Ifenthaler
Publisher : Springer Nature
Page : 624 pages
File Size : 52,8 Mb
Release : 2021-12-16
Category : Education
ISBN : 9783030812225

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Visualizations and Dashboards for Learning Analytics by Muhittin Sahin,Dirk Ifenthaler Pdf

This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners’ patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics.