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

List Price: $80.00
SKU:
9789004399266
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  • Product Details

    Author:
    Myint Swe Khine
    Format:
    Paperback
    Pages:
    286
    Publisher:
    Brill (May 9, 2019)
    Imprint:
    Brill
    Language:
    English
    Audience:
    Professional and scholarly
    ISBN-13:
    9789004399266
    ISBN-10:
    9004399267
    Weight:
    16oz
    Dimensions:
    6.1" x 9.25" x 0.63"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260327163342-20260327.xml
    Folder:
    TWO RIVERS
    List Price:
    $80.00
    Country of Origin:
    Netherlands
    Series:
    Contemporary Approaches to Research in Learning Innovations
    As low as:
    $76.00
    Publisher Identifier:
    P-PER
    Discount Code:
    H
    Pub Discount:
    35
  • Overview

    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.