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Emerging Trends in Learning Analytics: Leveraging the Power of Education Data, 


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Название:  Emerging Trends in Learning Analytics: Leveraging the Power of Education Data
ISBN: 9789004396616
Издательство: Brill
Классификация:



ISBN-10: 9004396616
Обложка/Формат: Hardback
Страницы: 286
Вес: 0.61 кг.
Дата издания: 09.05.2019
Серия: Education
Язык: English
Размер: 236 x 158 x 23
Читательская аудитория: Professional and scholarly
Ключевые слова: Teacher training,Educational equipment & technology, computer-aided learning (CAL),Study & learning skills: general,Education
Поставляется из: Англии
Описание: The term learning analytics is defined as the measurement, collection, analysis, and reporting of information about learners and their contexts for the purposes of understanding and optimizing learning. In recent years learning analytics has emerged as a promising area of research that trails the digital footprint of the learners and extracts useful knowledge from educational databases to understand students progress and success. With the availability of an increased amount of data, potential benefits of learning analytics can be far-reaching to all stakeholders in education including students, teachers, leaders, and policymakers. Educators firmly believe that, if properly harnessed, learning analytics will be an indispensable tool to enhance the teaching-learning process, narrow the achievement gap, and improve the quality of education.

Many investigations have been carried out and disseminated in the literature and studies related to learning analytics are growing exponentially. This book documents recent attempts to conduct systematic, prodigious and multidisciplinary research in learning analytics and present their findings and identify areas for further research and development. The book also unveils the distinguished and exemplary works by educators and researchers in the field highlighting the current trends, privacy and ethical issues, creative and unique approaches, innovative methods, frameworks, and theoretical and practical aspects of learning analytics.

Contributors are: Arif Altun, Alexander Amigud, Dongwook An, Mirella Atherton, Robert Carpenter, Martin Ebner, John Fritz, Yoshiko Goda, Yasemin Gulbahar, Junko Handa, Dirk Ifenthaler, Yumi Ishige, Il-Hyun Jo, Kosuke Kaneko, Selcan Kilis, Daniel Klasen, Mehmet Koko , Shinichi Konomi, Philipp Leitner, ChengLu Li, Min Liu, Karin Maier, Misato Oi, Fumiya Okubo, Xin Pan, Zilong Pan, Clara Schumacher, Yi Shi, Atsushi Shimada, Yuta Taniguchi, Masanori Yamada, and Wenting Zou.


Название: Emerging Trends in Learning Analytics: Leveraging the Power of Education Data
ISBN: 9004399267 ISBN-13(EAN): 9789004399266
Издательство: Brill
Цена: 73050.00 T
Наличие на складе: Невозможна поставка.
Описание: The term 'learning analytics' is defined as the measurement, collection, analysis, and reporting of information about learners and their contexts for the purposes of understanding and optimizing learning. In recent years learning analytics has emerged as a promising area of research that trails the digital footprint of the learners and extracts useful knowledge from educational databases to understand students' progress and success. With the availability of an increased amount of data, potential benefits of learning analytics can be far-reaching to all stakeholders in education including students, teachers, leaders, and policymakers. Educators firmly believe that, if properly harnessed, learning analytics will be an indispensable tool to enhance the teaching-learning process, narrow the achievement gap, and improve the quality of education.

Many investigations have been carried out and disseminated in the literature and studies related to learning analytics are growing exponentially. This book documents recent attempts to conduct systematic, prodigious and multidisciplinary research in learning analytics and present their findings and identify areas for further research and development. The book also unveils the distinguished and exemplary works by educators and researchers in the field highlighting the current trends, privacy and ethical issues, creative and unique approaches, innovative methods, frameworks, and theoretical and practical aspects of learning analytics.

Contributors are: Arif Altun, Alexander Amigud, Dongwook An, Mirella Atherton, Robert Carpenter, Martin Ebner, John Fritz, Yoshiko Goda, Yasemin Gulbahar, Junko Handa, Dirk Ifenthaler, Yumi Ishige, Il-Hyun Jo, Kosuke Kaneko, Selcan Kilis, Daniel Klasen, Mehmet Koko , Shin'ichi Konomi, Philipp Leitner, ChengLu Li, Min Liu, Karin Maier, Misato Oi, Fumiya Okubo, Xin Pan, Zilong Pan, Clara Schumacher, Yi Shi, Atsushi Shimada, Yuta Taniguchi, Masanori Yamada, and Wenting Zou.

Blended Learning in Grades 4 12: Leveraging the Power of Technology to Create Student-Centered Classrooms

Автор: Tucker Catlin R.
Название: Blended Learning in Grades 4 12: Leveraging the Power of Technology to Create Student-Centered Classrooms
ISBN: 1452240868 ISBN-13(EAN): 9781452240862
Издательство: Sage Publications
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Цена: 32730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This guide helps teachers integrate online with face-to-face instruction to personalize learning, increase engagement, and prepare students for exams without sacrificing class time.

Methods for Analyzing and Leveraging Online Learning Data

Автор: Shalin Hai-Jew
Название: Methods for Analyzing and Leveraging Online Learning Data
ISBN: 1522575286 ISBN-13(EAN): 9781522575283
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 180180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: While online learning continues to be a rapidly expanding field of research, analyzing data allows educational institutions to fine tune their curriculum and teaching methods. Properly utilizing the data, however, becomes difficult when taking into account how socio-technical systems are used, the administration of those systems, default settings, how data is described and captured, and other factors.Methods for Analyzing and Leveraging Online Learning Data is a pivotal reference source that provides vital research on the application of data in online education for improving a system’s capabilities and optimizing it for teaching and learning. This publication explores data handling, cleaning, analysis, management, and representation, as well as the methods of effectively and ethically applying data research. Tying together education and information science with special attention paid to informal learning, online assessment, and social media, this book is ideally designed for educational administrators, system developers, curriculum designers, data analysts, researchers, instructors, and graduate-level students seeking current research on capturing, analyzing, storing, and sharing data-analytic insights regarding online learning environments.

Leveraging Knowledge for Innovation in Collaborative Networks

Автор: Luis M. Camarinha-Matos; Iraklis Paraskakis; Hamid
Название: Leveraging Knowledge for Innovation in Collaborative Networks
ISBN: 3642045677 ISBN-13(EAN): 9783642045677
Издательство: Springer
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Цена: 174180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Collaborative Networks A Tool for Promoting Co-creation and Innovation The collaborative networks paradigm offers powerful socio-organizational mec- nisms, supported by advanced information and communication technologies for p- moting innovation.

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
Рейтинг:
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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



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