Applying Data Science and Learning Analytics Throughout a Learner's Lifespan

[LeeAndro]

English | 2022 | ISBN: ‎ 1799896447, 978-1799896456 | 337 pages | True PDF EPUB | 49.28 MB

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 acad institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emeg. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines novel and emeg applications of data science and sister disciplines for gaining insights from data to inform interventions into learners' journeys and interactions with acad institutions. Data is collected at various s 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 acadians.



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