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The term learning analytics is used in the context of the use of
analytics in e-learning environments. Learning analytics is used to
improve quality. It uses data about students and their activities
to provide better understanding and to improve student learning.
The use of learning management systems, where the activity of the
students can be easily accessed, potentiated the use of learning
analytics to understand their route during the learning process,
help students be aware of their progress, and detect situations
where students can give up the course before its completion, which
is a growing problem in e-learning environments. Advancing the
Power of Learning Analytics and Big Data in Education provides
insights concerning the use of learning analytics, the role and
impact of analytics on education, and how learning analytics are
designed, employed, and assessed. The chapters will discuss factors
affecting learning analytics such as human factors, geographical
factors, technological factors, and ethical and legal factors. This
book is ideal for teachers, administrators, teacher educators,
practitioners, stakeholders, researchers, academicians, and
students interested in the use of big data and learning analytics
for improved student success and educational environments.
The term learning analytics is used in the context of the use of
analytics in e-learning environments. Learning analytics is used to
improve quality. It uses data about students and their activities
to provide better understanding and to improve student learning.
The use of learning management systems, where the activity of the
students can be easily accessed, potentiated the use of learning
analytics to understand their route during the learning process,
help students be aware of their progress, and detect situations
where students can give up the course before its completion, which
is a growing problem in e-learning environments. Advancing the
Power of Learning Analytics and Big Data in Education provides
insights concerning the use of learning analytics, the role and
impact of analytics on education, and how learning analytics are
designed, employed, and assessed. The chapters will discuss factors
affecting learning analytics such as human factors, geographical
factors, technological factors, and ethical and legal factors. This
book is ideal for teachers, administrators, teacher educators,
practitioners, stakeholders, researchers, academicians, and
students interested in the use of big data and learning analytics
for improved student success and educational environments.
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