Methods for Analyzing and Leveraging Online Learning Data, Shalin Hai-Jew

Автор: Luis M. Camarinha-Matos; Iraklis Paraskakis; Hamid
Название: Leveraging Knowledge for Innovation in Collaborative Networks
ISBN: 3642045677 ISBN-13(EAN): 9783642045677
Издательство: Springer
Рейтинг:
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.

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
Рейтинг:
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.

Название: Emerging Trends in Learning Analytics: Leveraging the Power of Education Data
ISBN: 9004396616 ISBN-13(EAN): 9789004396616
Издательство: Brill
Цена: 144780.00 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.

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.

Название: Ethics of online research
ISBN: 1787144860 ISBN-13(EAN): 9781787144866
Издательство: Emerald
Рейтинг:
Цена: 112470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume focuses on the ethics of internet and social networking research exploring the challenges faced by researchers making use of social media and big data in their research. The internet, the world wide web and social media – indeed all forms of online communications – are attractive fields of research across a range of disciplines. They offer opportunities for methodological initiatives and innovations in research and easily accessed, massive amounts of primary and secondary data sources. This collection examines the new challenges posed by data generated online, explores how researchers are addressing those ethical challenges, and provides rich case studies of ethical decision making in the digital age.