Measurements in Distance Education PDF Download

Author: Amy J. Catalano
Publisher: Routledge
ISBN: 9781138714465
Category :
Languages : en
Pages :

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Author: Amy J. Catalano
Publisher: Routledge
ISBN: 1351859099
Category : Education
Languages : en
Pages : 125

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Book Description
As more postsecondary faculty become engaged in designing online learning environments, research conducted on distance education program quality becomes increasingly important. Measurements in Distance Education is a concise, well-organized guide to some of the many instruments, scales, and methods that have been created to assess distance education environments, learners, and teachers. Entries are organized according to the qualities these measures attempt to gauge—such as engagement and information retention—and provide summaries of each instrument, usage information, the history of its development, and validation, including any reported psychometric properties. Offering more than 50 different surveys, tests, and other metrics, this book is an essential reference for anyone interested in understanding distance education assessment.

Author: Isaias, Pedro
Publisher: IGI Global
ISBN: 1799886638
Category : Education
Languages : en
Pages : 366

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Book Description
While online learning was an existing practice, the COVID-19 pandemic greatly accelerated its capabilities and forced educational organizations to swiftly introduce online learning for all units. Though schools will not always be faced with forced online learning, it is apparent that there are clear advantages and disadvantages to this teaching method, with its usage in the future cemented. As such, it is imperative that methods for measuring and assessing the effectiveness of online and blended learning are examined in order to improve outcomes and future practices. Measurement Methodologies to Assess the Effectiveness of Global Online Learning aims to assess the effectiveness of online teaching and learning in normal and pandemic situations by addressing challenges and opportunities of adoption of online platforms as well as effective learning strategies, investigating the best pedagogical practices in digital learning, questioning how to improve student motivation and performance, and managing and measuring academic workloads online. Covering a wide range of topics such as the future of education and digital literacy, it is ideal for teachers, instructional designers, curriculum developers, educational software developers, academics, researchers, and students.

Author: Valerie Ruhe
Publisher: Guilford Press
ISBN: 1593858736
Category : Education
Languages : en
Pages : 321

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Book Description
With the rapid proliferation of distance education and e-learning courses, the need is growing for a comprehensive, professional approach to evaluating their effectiveness. This indispensable book offers a road map to guide evaluation practice in these innovative learning environments. Providing practical, step-by-step guidelines and tools for conducting evaluation studies—including how to deal with stakeholders, develop surveys and interview protocols, collect other scientific evidence, and analyze and blend mixed-methods data—the work also features a template for writing high-quality reports. The "unfolding model" developed by the authors draws on Messick's influential assessment framework and applies it to program evaluation. Two case studies of actual programs (a distance learning course and an e-learning course) demonstrate the unfolding model in action.

Author: Reynolds, Rodney A.
Publisher: IGI Global
ISBN: 1591407931
Category : Business & Economics
Languages : en
Pages : 418

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Book Description
"This book is the comprehensive reference source for innovative knowledge on electronic surveys. It provides complete coverage of the challenges associated with the use of the Internet to develop online surveys, administer Web-based instruments, and conduct computer-mediated assessments. This combination of how-to information about online research coupled with profiles of specific measures makes it an indispensable reference"--Provided by publisher.

Author: William H. Pruden III
Publisher: Bloomsbury Publishing USA
ISBN:
Category : Education
Languages : en
Pages : 200

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Book Description
Remote learning and distance education burst into the national consciousness with the onset of the COVID-19 pandemic - yet it remains poorly understood in many ways. Explore a range of debates around this timely topic, including: can remote learning models of educational instruction produce the same (or better?) academic results than in-school learning? What are the socialization impacts of remote learning? What do education experts think is the next frontier in remote learning? This book explores those questions and many more. Remote Learning and Distance Education provides the historical background and context for understanding the origins and evolution of distance education - an evolution which was accelerated dramatically, and in unpredictable ways, when the COVID-19 pandemic transformed millions of actual classrooms into virtual ones. Readers will better understand the problems, controversies and solutions surrounding distance education, from access and equity issues to maintaining academic integrity. Profiles of key figures and organizations, such as Khan Academy, give readers an introduction to important players in this potentially revolutionary approach to teaching and learning.

Author: David D. Williams
Publisher: IGI Global
ISBN: 1591407494
Category : Education
Languages : en
Pages : 343

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"This book provides a view of the possibilities and challenges facing online educators and evaluators in the 21st century"--Provided by publisher.

Author: Aurélien Muise
Publisher: Springer Nature
ISBN: 303101572X
Category : Computers
Languages : en
Pages : 139

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Book Description
Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learning literature that covers algorithms, theory and applications for both numerical and structured data. We first introduce relevant definitions and classic metric functions, as well as examples of their use in machine learning and data mining. We then review a wide range of metric learning algorithms, starting with the simple setting of linear distance and similarity learning. We show how one may scale-up these methods to very large amounts of training data. To go beyond the linear case, we discuss methods that learn nonlinear metrics or multiple linear metrics throughout the feature space, and review methods for more complex settings such as multi-task and semi-supervised learning. Although most of the existing work has focused on numerical data, we cover the literature on metric learning for structured data like strings, trees, graphs and time series. In the more technical part of the book, we present some recent statistical frameworks for analyzing the generalization performance in metric learning and derive results for some of the algorithms presented earlier. Finally, we illustrate the relevance of metric learning in real-world problems through a series of successful applications to computer vision, bioinformatics and information retrieval. Table of Contents: Introduction / Metrics / Properties of Metric Learning Algorithms / Linear Metric Learning / Nonlinear and Local Metric Learning / Metric Learning for Special Settings / Metric Learning for Structured Data / Generalization Guarantees for Metric Learning / Applications / Conclusion / Bibliography / Authors' Biographies

Author: Tomei, Lawrence A.
Publisher: IGI Global
ISBN: 1599049368
Category : Business & Economics
Languages : en
Pages : 4032

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Book Description
"This comprehensive, six-volume collection addresses all aspects of online and distance learning, including information communication technologies applied to education, virtual classrooms, pedagogical systems, Web-based learning, library information systems, virtual universities, and more. It enables libraries to provide a foundational reference to meet the information needs of researchers, educators, practitioners, administrators, and other stakeholders in online and distance learning"--Provided by publisher.

Author: Jeanne Novotny
Publisher: Springer Publishing Company
ISBN: 9780826146946
Category : Education
Languages : en
Pages : 260

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Book Description
Written for every nurse educator, from novice to expert, by such distinguished contributors as Diane Billings, Suzanne Hetzel Campbell, and Marilyn Oermann, this second edition offers basic introductory information on distance teaching and learning in nursing.