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.
General
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