Handbook Of Learning Analytics

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Handbook of Learning Analytics

Author : Charles Lang,George Siemens,Alyssa Wise,Dragan Gasevic
Publisher : Unknown
Page : 355 pages
File Size : 54,9 Mb
Release : 2017
Category : Education
ISBN : 0995240817

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Handbook of Learning Analytics by Charles Lang,George Siemens,Alyssa Wise,Dragan Gasevic Pdf

"The Handbook of Learning Analytics is designed to meet the needs of a new and growing field. It aims to balance rigor, quality, open access and breadth of appeal and was devised to be an introduction to the current state of research. The Handbook is a snapshot of the field in 2017 and features a range of prominent authors from the learning analytics and educational data mining research communities. The chapters have been peer reviewed by committed members of these fields and are being published with the endorsement of both the Society for Learning Analytics Research and the International Society for Educational Data Mining. We hope you will find the Handbook of Learning Analytics a useful and informative resource."--Publisher information.

Data Mining and Learning Analytics

Author : Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 53,6 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.

“The” Handbook of Learning Analytics

Author : Charles Lang
Publisher : Unknown
Page : 0 pages
File Size : 45,6 Mb
Release : 2017
Category : Electronic
ISBN : 0995240809

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“The” Handbook of Learning Analytics by Charles Lang Pdf

Handbook of Regression Modeling in People Analytics

Author : Keith McNulty
Publisher : CRC Press
Page : 272 pages
File Size : 44,5 Mb
Release : 2021-07-29
Category : Business & Economics
ISBN : 9781000427899

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Handbook of Regression Modeling in People Analytics by Keith McNulty Pdf

Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a ‘sweet spot’ where there is just enough mathematical theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key Features: • 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) • Clear step-by-step instructions on executing the analyses. • Clear guidance on how to interpret results. • Primary instruction in R but added sections for Python coders. • Discussion exercises and data exercises for each of the main chapters. • Final chapter of practice material and datasets ideal for class homework or project work.

Advancing the Power of Learning Analytics and Big Data in Education

Author : Azevedo, Ana,Azevedo, José Manuel,Onohuome Uhomoibhi, James,Ossiannilsson, Ebba
Publisher : IGI Global
Page : 296 pages
File Size : 48,5 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.

Visualizations and Dashboards for Learning Analytics

Author : Muhittin Sahin,Dirk Ifenthaler
Publisher : Springer Nature
Page : 624 pages
File Size : 49,8 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.

Recommender Systems for Learning

Author : Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Erik Duval
Publisher : Springer Science & Business Media
Page : 76 pages
File Size : 41,9 Mb
Release : 2012-08-28
Category : Computers
ISBN : 9781461443612

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Recommender Systems for Learning by Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Erik Duval Pdf

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

A Beginner’s Guide to Learning Analytics

Author : Srinivasa K G,Muralidhar Kurni
Publisher : Springer Nature
Page : 326 pages
File Size : 40,5 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.

Developing Effective Educational Experiences Through Learning Analytics

Author : Mark Anderson,Collette Gavan
Publisher : Information Science Reference
Page : 0 pages
File Size : 51,8 Mb
Release : 2016
Category : Data mining
ISBN : 1466699833

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Developing Effective Educational Experiences Through Learning Analytics by Mark Anderson,Collette Gavan Pdf

"This is a pivotal reference source that focuses on the adoption of data mining and analysis techniques in academic institutions, examining how this collected information is utilized to improve the outcome of student learning"--

Handbook of Research on Foundations and Applications of Intelligent Business Analytics

Author : Sun, Zhaohao,Wu, Zhiyou
Publisher : IGI Global
Page : 425 pages
File Size : 40,6 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781799890188

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Handbook of Research on Foundations and Applications of Intelligent Business Analytics by Sun, Zhaohao,Wu, Zhiyou Pdf

Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

The Wiley Handbook of Cognition and Assessment

Author : Andre A. Rupp,Jacqueline P. Leighton
Publisher : John Wiley & Sons
Page : 648 pages
File Size : 46,7 Mb
Release : 2016-11-21
Category : Education
ISBN : 9781118956618

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The Wiley Handbook of Cognition and Assessment by Andre A. Rupp,Jacqueline P. Leighton Pdf

This state-of-the-art resource brings together the most innovative scholars and thinkers in the field of testing to capture the changing conceptual, methodological, and applied landscape of cognitively-grounded educational assessments. Offers a methodologically-rigorous review of cognitive and learning sciences models for testing purposes, as well as the latest statistical and technological know-how for designing, scoring, and interpreting results Written by an international team of contributors at the cutting-edge of cognitive psychology and educational measurement under the editorship of a research director at the Educational Testing Service and an esteemed professor of educational psychology at the University of Alberta as well as supported by an expert advisory board Covers conceptual frameworks, modern methodologies, and applied topics, in a style and at a level of technical detail that will appeal to a wide range of readers from both applied and scientific backgrounds Considers emerging topics in cognitively-grounded assessment, including applications of emerging socio-cognitive models, cognitive models for human and automated scoring, and various innovative virtual performance assessments

International Handbook of the Learning Sciences

Author : Frank Fischer,Cindy E. Hmelo-Silver,Susan R. Goldman,Peter Reimann
Publisher : Routledge
Page : 552 pages
File Size : 48,7 Mb
Release : 2018-04-19
Category : Education
ISBN : 9781317208358

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International Handbook of the Learning Sciences by Frank Fischer,Cindy E. Hmelo-Silver,Susan R. Goldman,Peter Reimann Pdf

The International Handbook of the Learning Sciences is a comprehensive collection of international perspectives on this interdisciplinary field. In more than 50 chapters, leading experts synthesize past, current, and emerging theoretical and empirical directions for learning sciences research. The three sections of the handbook capture, respectively: foundational contributions from multiple disciplines and the ways in which the learning sciences has fashioned these into its own brand of use-oriented theory, design, and evidence; learning sciences approaches to designing, researching, and evaluating learning broadly construed; and the methodological diversity of learning sciences research, assessment, and analytic approaches. This pioneering collection is the definitive volume of international learning sciences scholarship and an essential text for scholars in this area.

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Author : Rani, Geeta,Tiwari, Pradeep Kumar
Publisher : IGI Global
Page : 586 pages
File Size : 50,6 Mb
Release : 2020-10-16
Category : Medical
ISBN : 9781799827436

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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by Rani, Geeta,Tiwari, Pradeep Kumar Pdf

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

Handbook of Research on Advances in Data Analytics and Complex Communication Networks

Author : P. Venkata Krishna
Publisher : IGI Global
Page : 297 pages
File Size : 48,5 Mb
Release : 2021
Category : Computers
ISBN : 9781799876878

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Handbook of Research on Advances in Data Analytics and Complex Communication Networks by P. Venkata Krishna Pdf

"This edited book discusses data analytics and complex communication networks and recommends new methodologies, system architectures, and other solutions to prevail over the current limitations faced by the field"--

Internet of Things and Data Analytics Handbook

Author : Hwaiyu Geng
Publisher : John Wiley & Sons
Page : 816 pages
File Size : 41,6 Mb
Release : 2016-12-15
Category : Technology & Engineering
ISBN : 9781119173632

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Internet of Things and Data Analytics Handbook by Hwaiyu Geng Pdf

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book: Examines cloud computing, data analytics, and sustainability and how they relate to IoT overs the scope of consumer, government, and enterprise applications Includes best practices, business model, and real-world case studies Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).