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Research in the domains of learning analytics and educational data
mining has prototyped an approach where methodologies from data
science and machine learning are used to gain insights into the
learning process by using large amounts of data. As many training
and academic institutions are maturing in their data-driven
decision making, useful, scalable, and interesting trends are
emerging. Organizations can benefit from sharing information on
those efforts. Applying Data Science and Learning Analytics
Throughout a Learner's Lifespan examines novel and emerging
applications of data science and sister disciplines for gaining
insights from data to inform interventions into learners' journeys
and interactions with academic institutions. Data is collected at
various times and places throughout a learner's lifecycle, and the
learners and the institution should benefit from the insights and
knowledge gained from this data. Covering topics such as learning
analytics dashboards, text network analysis, and employment
recruitment, this book is an indispensable resource for educators,
computer scientists, faculty of higher education, government
officials, educational administration, students of higher
education, pre-service teachers, business professionals,
researchers, and academicians.
Research in the domains of learning analytics and educational data
mining has prototyped an approach where methodologies from data
science and machine learning are used to gain insights into the
learning process by using large amounts of data. As many training
and academic institutions are maturing in their data-driven
decision making, useful, scalable, and interesting trends are
emerging. Organizations can benefit from sharing information on
those efforts. Applying Data Science and Learning Analytics
Throughout a Learner's Lifespan examines novel and emerging
applications of data science and sister disciplines for gaining
insights from data to inform interventions into learners' journeys
and interactions with academic institutions. Data is collected at
various times and places throughout a learner's lifecycle, and the
learners and the institution should benefit from the insights and
knowledge gained from this data. Covering topics such as learning
analytics dashboards, text network analysis, and employment
recruitment, this book is an indispensable resource for educators,
computer scientists, faculty of higher education, government
officials, educational administration, students of higher
education, pre-service teachers, business professionals,
researchers, and academicians.
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