Utilizing Learning Analytics to Support Study Success
Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students' decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students' learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education b…
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Produktdetails
Weitere Autoren: Mah, Dana-Kristin (Hrsg.) / Yau, Jane Yin-Kim (Hrsg.)
- ISBN: 978-3-319-64792-0
- EAN: 9783319647920
- Produktnummer: 29756139
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 328 S.
- Plattform: PDF
- Masse: 6'871 KB
- Auflage: 1st ed. 2019
- Abbildungen: 23 schwarz-weiße und 24 farbige Abbildungen, Bibliographie
Über den Autor
116844057
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