Radical Solutions and Learning Analytics. Personalised Learning and Teaching Through Big Data. 1st edition.

Sonst. Personen	Burgos, Daniel (Hrsg.)
Titel	Radical Solutions and Learning Analytics. Personalised Learning and Teaching Through Big Data. 1st edition.
Quelle	Singapore: Springer (2020), XIV, 227 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	Lecture notes in educational technology
Beigaben	Abbildungen; farbige Illustrationen 41; Illustrationen 63
Zusatzinformation	Inhaltsverzeichnis
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie
ISBN	978-981-15-4525-2; 978-981-15-4526-9; 978-981-15-4527-6; 978-981-15-4528-3
DOI	10.1007/978-981-15-4526-9
Schlagwörter	Learning Analytics; Künstliche Intelligenz; Lernerfolg; Individuelles Lernen; Informelles Lernen; Lernen; Lernerfahrung; Adaptiver Unterricht; Datenmanagement; Anpassungsfähigkeit; Datenmenge; Datenverarbeitung
Abstract	Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user's performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data. (Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2021/1