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

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

Buch | Hardcover
330 Seiten
2022
Business Science Reference (Verlag)
978-1-7998-9644-9 (ISBN)
CHF 489,95 inkl. MwSt
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Examines novel and emerging applications of data science and sister disciplines in gaining insights from data to inform interventions into the learners' journey and interactions with an academic or training institution. Topics focus on building models of learners for success, using data to inform courseware and assessmentware development.
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.

Goran Trajkovski, Western Governors University Marylee Demeter, Western Governors University Heather Hayes, Western Governors University

Erscheinungsdatum
Reihe/Serie e-Book Collection - Copyright 2022
Sprache englisch
Gewicht 633 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Sozialwissenschaften Kommunikation / Medien Buchhandel / Bibliothekswesen
ISBN-10 1-7998-9644-7 / 1799896447
ISBN-13 978-1-7998-9644-9 / 9781799896449
Zustand Neuware
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