Learning Analytics Goes To School

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Learning Analytics Goes To School

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Author : Andrew Krumm
language : en
Publisher: Routledge
Release Date : 2018-01-12

Learning Analytics Goes To School written by Andrew Krumm and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-12 with Education categories.

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.

Learning Analytics In Education

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Author : David Niemi
language : en
Publisher: IAP
Release Date : 2018-08-01

Learning Analytics In Education written by David Niemi and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-01 with Education categories.

This book provides a comprehensive introduction by an extraordinary range of experts to the recent and rapidly developing field of learning analytics. Some of the finest current thinkers about ways to interpret and benefit from the increasing amount of evidence from learners’ experiences have taken time to explain their methods, describe examples, and point out new underpinnings for the field. Together, they show how this new field has the potential to dramatically increase learner success through deeper understanding of the academic, social-emotional, motivational, identity and meta-cognitive context each learner uniquely brings. Learning analytics is much more than “analyzing learning data”—it is about deeply understanding what learning activities work well, for whom, and when. Learning Analytics in Education provides an essential framework, as well as guidance and examples, for a wide range of professionals interested in the future of learning. If you are already involved in learning analytics, or otherwise trying to use an increasing density of evidence to understand learners’ progress, these leading thinkers in the field may give you new insights. If you are engaged in teaching at any level, or training future teachers/faculty for this new, increasingly technology-enhanced learning world, and want some sense of the potential opportunities (and pitfalls) of what technology can bring to your teaching and students, these forward-thinking leaders can spark your imagination. If you are involved in research around uses of technology, improving learning measurements, better ways to use evidence to improve learning, or in more deeply understanding human learning itself, you will find additional ideas and insights from some of the best thinkers in the field here. If you are involved in making administrative or policy decisions about learning, you will find new ideas (and dilemmas) coming your way from inevitable changes in how we design and deliver instruction, how we measure the outcomes, and how we provide feedback to students, teachers, developers, administrators, and policy-makers. For all these players, the trick will be to get the most out of all the new developments to efficiently and effectively improve learning performance, without getting distracted by “shiny” technologies that are disconnected from how human learning and development actually work.

Radical Solutions And Learning Analytics

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Author : Daniel Burgos
language : en
Publisher: Springer Nature
Release Date : 2020-05-08

Radical Solutions And Learning Analytics written by Daniel Burgos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-08 with Education categories.

Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user’s performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.

Learning Engineering For Online Education

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Author : Chris Dede
language : en
Publisher: Routledge
Release Date : 2018-10-12

Learning Engineering For Online Education written by Chris Dede and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-12 with Education categories.

Learning Engineering for Online Education is a comprehensive overview of the emerging field of learning engineering, a form of educational optimization driven by analytics, design-based research, and fast-paced, large-scale experimentation. Chapters written by instructional design and distance learning innovators explore the theoretical context of learning engineering and provide design-based examples from top educational institutions. Concluding with an agenda for future research, this volume is essential for those interested in using data and high-quality outcome evidence to improve student engagement, instructional efficacy, and results in online and blended settings.

Handbook Of Education Policy Research 2nd Edition

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Author : Lora Cohen-Vogel
language : en
Publisher: American Educational Research Association
Release Date :

Handbook Of Education Policy Research 2nd Edition written by Lora Cohen-Vogel and has been published by American Educational Research Association this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

The Foundational Handbook On Improvement Research In Education

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Author : Donald J. Peurach
language : en
Publisher: Bloomsbury Publishing PLC
Release Date : 2022-03-30

The Foundational Handbook On Improvement Research In Education written by Donald J. Peurach and has been published by Bloomsbury Publishing PLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-30 with Education categories.

The Foundational Handbook on Improvement Research in Education is a pathbreaking effort to build a field of research committed to producing the practical knowledge needed to advance educational access, quality, and equity. This is research distinguished by the use of inclusive, iterative approaches to analysis, design, implementation, and evaluation to understand and address educational opportunities, needs, and problems grounded deeply in school and community contexts. Designed for researchers, students, and educators, the handbook elaborates the intellectual foundations, explores the organizational and policy contexts, reviews approaches, and examines methods of improvement research. It features contributions from a plural community of researchers with expertise in the learning sciences, instructional improvement, organizational and policy studies, and research methodologies, many with extensive experience collaborating with teachers, leadership, families, and advocates in local problem solving and design.

Data Analytics And Adaptive Learning

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Author : Patsy D. Moskal
language : en
Publisher: Taylor & Francis
Release Date : 2023-08-25

Data Analytics And Adaptive Learning written by Patsy D. Moskal and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-25 with Education categories.

Data Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K–12, and adult/continuing education contexts. By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning.

Theory Informing And Arising From Learning Analytics

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Author : Kathryn Bartimote
language : en
Publisher: Springer Nature
Release Date : 2024-12-28

Theory Informing And Arising From Learning Analytics written by Kathryn Bartimote and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-28 with Education categories.

Theory Informing and Arising from Learning Analytics delves into the dynamic intersection of learning theory and educational data analysis within the field of Learning Analytics (LA). This groundbreaking book illuminates how theoretical insights can revolutionize data interpretation, reshape research methodologies, and expand the horizons of human learning and educational theory. Organized into three distinct sections, it offers a comprehensive introduction to the role of theory in LA, features contributions from leading scholars who apply diverse theoretical frameworks to their research, and explores cutting-edge topics where new theories are emerging. A standout feature is the inclusion of three “in conversation” chapters, where expert panels dive into the topics of ethics, self-regulated learning, and qualitative computation, enriched by accompanying podcasts that provide fresh, thought-provoking perspectives. This book is an invaluable resource for researchers, sparking debates on the evolving role of theory in LA and challenging conventional epistemological views. Published by Springer, it is an essential read for both aspiring and seasoned scholars eager to engage with the forefront of LA research.

Learning Analytics Enhanced Online Learning Support

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Author : Shuang Li
language : en
Publisher: Taylor & Francis
Release Date : 2023-12-08

Learning Analytics Enhanced Online Learning Support written by Shuang Li and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Education categories.

Offering the latest developments in online education in the era of big data, this book explores theories, technologies, and practices in the field of data-driven online learning support services using learning analytics. This book is divided into five chapters. Chapter 1 reflects and reconstructs the connotation of learning support against the backdrop of education reform, the rise of learning analytics, and the upgrading of the demand for learning services in the new era. Chapter 2 presents a P-K-DSE-E model of online learner characteristics and discusses measurement and data representation methods for learner characteristics based on it. Chapters 3–5 focus on the three types of learning support that are closely related to learning performance and satisfaction, including the promotion of social learning, electronic learning assessment based on the learning process, and personalized tutoring and support. This book innovatively develops the concept, theory, and practical methods of student support services in distance education traditional practices in the new era and provides valuable exploration of data-driven personalized learning service methods and technologies in the era of artificial intelligence through rich examples. This book will be essential reading for students and scholars of distance and online education, educational technology, and audiovisual education.

Learning Analytics Methods And Tutorials

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Author : Mohammed Saqr
language : en
Publisher: Springer Nature
Release Date : 2024-06-24

Learning Analytics Methods And Tutorials written by Mohammed Saqr and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Education categories.

This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere. The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. A total of 22 chapters are included in the book covering a wide range of methods such as predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models. What is really unique about the book is that researchers can perform the most advanced analysis with the included code using the step-by-step tutorial and the included data without the need for any extra resources. This is an open access book.