Learning Analytics Explained draws extensively from case studies
and interviews with experts in order to discuss emerging
applications of the new field of learning analytics. Educational
institutions increasingly collect data on students and their
learning experiences, a practice that helps enhance courses,
identify learners who require support, and provide a more
personalized learning experience. There is, however, a
corresponding need for guidance on how to carry out institutional
projects, intervene effectively with students, and assess legal and
ethical issues. This book provides that guidance while also
covering the evolving technical architectures, standards, and
products within the field.
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