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This book provides a comprehensive introduction by an extraordinary
range of experts to the recent and rapidly developing field of
learning analytics. Some of the finest current thinkers about ways
to interpret and benefit from the increasing amount of evidence
from learners' experiences have taken time to explain their
methods, describe examples, and point out new underpinnings for the
field. Together, they show how this new field has the potential to
dramatically increase learner success through deeper understanding
of the academic, social-emotional, motivational, identity and
meta-cognitive context each learner uniquely brings. Learning
analytics is much more than "analyzing learning data"-it is about
deeply understanding what learning activities work well, for whom,
and when. Learning Analytics in Education provides an essential
framework, as well as guidance and examples, for a wide range of
professionals interested in the future of learning. If you are
already involved in learning analytics, or otherwise trying to use
an increasing density of evidence to understand learners' progress,
these leading thinkers in the field may give you new insights. If
you are engaged in teaching at any level, or training future
teachers/faculty for this new, increasingly technology-enhanced
learning world, and want some sense of the potential opportunities
(and pitfalls) of what technology can bring to your teaching and
students, these forward-thinking leaders can spark your
imagination. If you are involved in research around uses of
technology, improving learning measurements, better ways to use
evidence to improve learning, or in more deeply understanding human
learning itself, you will find additional ideas and insights from
some of the best thinkers in the field here. If you are involved in
making administrative or policy decisions about learning, you will
find new ideas (and dilemmas) coming your way from inevitable
changes in how we design and deliver instruction, how we measure
the outcomes, and how we provide feedback to students, teachers,
developers, administrators, and policy-makers. For all these
players, the trick will be to get the most out of all the new
developments to efficiently and effectively improve learning
performance, without getting distracted by "shiny" technologies
that are disconnected from how human learning and development
actually work.
This book provides a comprehensive introduction by an extraordinary
range of experts to the recent and rapidly developing field of
learning analytics. Some of the finest current thinkers about ways
to interpret and benefit from the increasing amount of evidence
from learners' experiences have taken time to explain their
methods, describe examples, and point out new underpinnings for the
field. Together, they show how this new field has the potential to
dramatically increase learner success through deeper understanding
of the academic, social-emotional, motivational, identity and
meta-cognitive context each learner uniquely brings. Learning
analytics is much more than "analyzing learning data"-it is about
deeply understanding what learning activities work well, for whom,
and when. Learning Analytics in Education provides an essential
framework, as well as guidance and examples, for a wide range of
professionals interested in the future of learning. If you are
already involved in learning analytics, or otherwise trying to use
an increasing density of evidence to understand learners' progress,
these leading thinkers in the field may give you new insights. If
you are engaged in teaching at any level, or training future
teachers/faculty for this new, increasingly technology-enhanced
learning world, and want some sense of the potential opportunities
(and pitfalls) of what technology can bring to your teaching and
students, these forward-thinking leaders can spark your
imagination. If you are involved in research around uses of
technology, improving learning measurements, better ways to use
evidence to improve learning, or in more deeply understanding human
learning itself, you will find additional ideas and insights from
some of the best thinkers in the field here. If you are involved in
making administrative or policy decisions about learning, you will
find new ideas (and dilemmas) coming your way from inevitable
changes in how we design and deliver instruction, how we measure
the outcomes, and how we provide feedback to students, teachers,
developers, administrators, and policy-makers. For all these
players, the trick will be to get the most out of all the new
developments to efficiently and effectively improve learning
performance, without getting distracted by "shiny" technologies
that are disconnected from how human learning and development
actually work.
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