Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1799896447 ISBN 13: 9781799896449
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Lingua: Inglese
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Aggiungi al carrelloHardback. Condizione: New.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1799896447 ISBN 13: 9781799896449
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Lingua: Inglese
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ISBN 10: 1799896447 ISBN 13: 9781799896449
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 le.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1799896447 ISBN 13: 9781799896449
Da: preigu, Osnabrück, Germania
EUR 234,05
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Aggiungi al carrelloBuch. Condizione: Neu. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan | Goran Trajkovski (u. a.) | Buch | Gebunden | Englisch | 2022 | Information Science Reference | EAN 9781799896449 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1799896447 ISBN 13: 9781799896449
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 281,64
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.