Name: Emerging Trends in Learning Analytics: Leveraging the Power of Education Data (en Inglés)
SKU: 57305435
Price: 80.20 USD
Availability: InStock
Author: Khine, Myint Swe
ISBN: 9789004399266

portada Emerging Trends in Learning Analytics: Leveraging the Power of Education Data (en Inglés)

Emerging Trends in Learning Analytics: Leveraging the Power of Education Data (en Inglés)

Formato

Libro Físico

Editorial

Brill

Autor

Khine, Myint Swe

Idioma

Inglés

N° páginas

304

Encuadernación

Tapa Blanda

Dimensiones

23.1x15.2x1.8 cm

Peso

0.45 kg.

ISBN13

9789004399266

Categorías

Formación docente
Técnicas y habilidades de enseñanza
Equipamiento y tecnología educativas, aprendizaje asistido por ordenador (cal)

Emerging Trends in Learning Analytics: Leveraging the Power of Education Data (en Inglés)

Khine, Myint Swe (Autor) · Brill · Tapa Blanda

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Reseña del libro "Emerging Trends in Learning Analytics: Leveraging the Power of Education Data (en Inglés)"

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 Kokoç, 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.