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Adoption of Data Analytics in Higher Education Learning and Teaching (Paperback, 1st ed. 2020)
Loot Price: R3,777
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Adoption of Data Analytics in Higher Education Learning and Teaching (Paperback, 1st ed. 2020)
Series: Advances in Analytics for Learning and Teaching
Expected to ship within 10 - 15 working days
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The book aims to advance global knowledge and practice in applying
data science to transform higher education learning and teaching to
improve personalization, access and effectiveness of education for
all. Currently, higher education institutions and involved
stakeholders can derive multiple benefits from educational data
mining and learning analytics by using different data analytics
strategies to produce summative, real-time, and predictive or
prescriptive insights and recommendations. Educational data mining
refers to the process of extracting useful information out of a
large collection of complex educational datasets while learning
analytics emphasizes insights and responses to real-time learning
processes based on educational information from digital learning
environments, administrative systems, and social platforms. This
volume provides insight into the emerging paradigms, frameworks,
methods and processes of managing change to better facilitate
organizational transformation toward implementation of educational
data mining and learning analytics. It features current research
exploring the (a) theoretical foundation and empirical evidence of
the adoption of learning analytics, (b) technological
infrastructure and staff capabilities required, as well as (c) case
studies that describe current practices and experiences in the use
of data analytics in higher education.
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