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Utilizing Learning Analytics to Support Study Success, Dirk Ifenthaler; Dana-Kristin Mah; Jane Yin-Kim Ya


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Цена: 15372.00р.
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Автор: Dirk Ifenthaler; Dana-Kristin Mah; Jane Yin-Kim Ya
Название:  Utilizing Learning Analytics to Support Study Success
ISBN: 9783319647913
Издательство: Springer
Классификация:

ISBN-10: 3319647911
Обложка/Формат: Hardcover
Страницы: 330
Вес: 0.67 кг.
Дата издания: 12.11.2018
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 24 illustrations, color; 23 illustrations, black and white; xxiv, 328 p. 47 illus., 24 illus. in color.
Размер: 234 x 156 x 21
Читательская аудитория: General (us: trade)
Основная тема: Education
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion:

- Theoretical perspectives linking learning analytics and study success.

- Technological innovations for supporting student learning.

- Issues and challenges for implementing learning analytics at higher education institutions.

- Case studies showcasing successfully implemented learning analytics strategies at higher education institutions.

Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology.


Дополнительное описание: Part I: Theoretical perspectives linking learning analytics and study success.- Part II: Technological innovations for supporting student learning.- Part III: Issues and challenges for implementing learning analytics at higher education institutions.- Par



Learning and Knowledge Analytics in Open Education

Автор: Lai
Название: Learning and Knowledge Analytics in Open Education
ISBN: 3319389556 ISBN-13(EAN): 9783319389554
Издательство: Springer
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Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explores trends in learning and knowledge analytics in open education, as explored in proceedings papers from AECT-LKAOE 2015 International Research Symposium. The chapters investigate various issues surrounding open education in all disciplines, such as learning design in open-ended learning environments, MOOCs (Massive Open Online Courses), learning analytics studies and applications, and technology and new media. The chapter authors provide guidance for how to design and develop most effective, efficient, and appealing instruction as well as suggesting learning strategies relevant to the open education era.

Big Data and Learning Analytics in Higher Education

Автор: Kei Daniel
Название: Big Data and Learning Analytics in Higher Education
ISBN: 331906519X ISBN-13(EAN): 9783319065199
Издательство: Springer
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Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: ?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?.

Learning Analytics

Автор: Johann Ari Larusson; Brandon White
Название: Learning Analytics
ISBN: 1493944401 ISBN-13(EAN): 9781493944408
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book offers a comprehensive review of Learning Analytics (LA). It highlights the latest results, methodologies, tools, strategies, and models and encompasses theoretical discussions as well as practical examples and strategies.

Learning Analytics: Fundaments, Applications, and Trends

Автор: Alejandro Pe?a-Ayala
Название: Learning Analytics: Fundaments, Applications, and Trends
ISBN: 3319529765 ISBN-13(EAN): 9783319529769
Издательство: Springer
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Цена: 22359.00 р.
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Описание:

Learning Analytics in Higher Education.- A Literature Review.- Teaching and Learning Analytics to support Teacher Inquiry: A Systematic Literature Review.- A Landscape of Learning Analytics: An Exercise to Highlight the Nature of an Emergent Field.- A Review of Recent Advances in Adaptive Assessment.- Data-driven Personalization of Student Learning Support in Higher Education.- Overcoming the MOOC data deluge with learning analytic dashboards.- A Priori Knowledge in Learning Analytics.- Knowledge Discovery from the Programme for International Student Assessment.- A Learning Analytics Approach for Job Scheduling on Cloud Servers

Learning Analytics Explained

Автор: Sclater
Название: Learning Analytics Explained
ISBN: 113893173X ISBN-13(EAN): 9781138931732
Издательство: Taylor&Francis
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Цена: 5205.00 р.
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Описание: 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.

Learning Analytics Explained

Автор: Sclater
Название: Learning Analytics Explained
ISBN: 1138931721 ISBN-13(EAN): 9781138931725
Издательство: Taylor&Francis
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Цена: 20671.00 р.
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Описание: 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.

Formative Assessment, Learning Data Analytics and Gamification

Автор: Caballe, Santi
Название: Formative Assessment, Learning Data Analytics and Gamification
ISBN: 0128036370 ISBN-13(EAN): 9780128036372
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание:

Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification.

This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and as a tactic to create a collaborative team. Using numerous illustrative examples and theoretical and practical results, leading international experts discuss application of automatic techniques for e-assessment of learning activities, methods to collect, analyze, and correctly visualize learning data in educational environments, applications, benefits and challenges of using gamification techniques in academic contexts, and solutions and strategies for increasing student participation and performance.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

Using Multimodal Representations to Support Learning in the Science Classroom

Автор: Brian Hand; Mark McDermott; Vaughan Prain
Название: Using Multimodal Representations to Support Learning in the Science Classroom
ISBN: 3319362321 ISBN-13(EAN): 9783319362328
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book provides an international perspective of current work aimed at both clarifying the theoretical foundations for the use of multimodal representations as a part of effective science education pedagogy and the pragmatic application of research findings to actual classroom settings.

The Collaborative Analysis of Student Learning: Professional Learning That Promotes Success for All

Автор: Colton Amy B., Langer Georgea M., Goff D. (Dorothy
Название: The Collaborative Analysis of Student Learning: Professional Learning That Promotes Success for All
ISBN: 1483358178 ISBN-13(EAN): 9781483358178
Издательство: Sage Publications
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Цена: 5542.00 р.
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Описание: The Collaborative Analysis of Student Work is a comprehensive guide to implementing a research-based approach to professional learning that drives educator effectiveness and promotes learning for every student. This book includes step-by-step guidance to implementation supported by numerous tools, protocols, and rich examples.


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