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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2018
ISBN 10: 1138121835 ISBN 13: 9781138121836
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Learning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use of newly available data sources and analytical approaches. The application of data-intensive research techniques to understanding and improving learning environments has been growing at a rapid pace. In this book, three leading researchers convey lessons from their own experiencesand the current state of the art in educational data mining and learning analytics more generallyby providing an explicit set of tools and processes for engaging in collaborative data-intensive improvement. Learning Analytics Goes to School presents a framework for understanding how to conduct new forms of education research and enact new approaches to improving education practice made possible by big data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 178 pages. 8.75x5.75x0.50 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2018
ISBN 10: 1138121835 ISBN 13: 9781138121836
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 79,14
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Learning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use of newly available data sources and analytical approaches. The application of data-intensive research techniques to understanding and improving learning environments has been growing at a rapid pace. In this book, three leading researchers convey lessons from their own experiencesand the current state of the art in educational data mining and learning analytics more generallyby providing an explicit set of tools and processes for engaging in collaborative data-intensive improvement. Learning Analytics Goes to School presents a framework for understanding how to conduct new forms of education research and enact new approaches to improving education practice made possible by big data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
ISBN 10: 1138121835 ISBN 13: 9781138121836
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 190.
ISBN 10: 1138121835 ISBN 13: 9781138121836
Da: Majestic Books, Hounslow, Regno Unito
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ISBN 10: 1138121835 ISBN 13: 9781138121836
Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 178 pages. 8.75x5.75x0.50 inches. In Stock. This item is printed on demand.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Andrew Krumm is Director of Learning Analytics Research at Digital Promise, a nonprofit organization that brings together the expertise of educators, researchers, and technology developers in the interest of improving teaching and le.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Learning Analytics Goes to School | A Collaborative Approach to Improving Education | Andrew Krumm (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2018 | Routledge | EAN 9781138121836 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 76,25
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use of newly available data sources and analytical approaches. The application of data-intensive research techniques to understanding and improving learning environments has been growing at a rapid pace. In this book, three leading researchers convey lessons from their own experiences-and the current state of the art in educational data mining and learning analytics more generally-by providing an explicit set of tools and processes for engaging in collaborative data-intensive improvement.