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2015 | OriginalPaper | Buchkapitel

Learning Analytics: Trends and Issues of the Empirical Research of the Years 2011–2014

verfasst von : Nicolae Nistor, Michael Derntl, Ralf Klamma

Erschienen in: Design for Teaching and Learning in a Networked World

Verlag: Springer International Publishing

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Abstract

In very recent years, the advent of Learning Analytics (LA) has resulted in a number of publications reporting on empirical research. This literature overview identifies the mainstream of empirical LA research, and emphasizes insufficiently investigated directions that display a higher innovation potential. The mainstream consists of learning trajectory visualizations aimed to predict learner success. Single studies prove innovative by addressing in particular: informal educational settings, video and audio records as data sources, automated assessment and error/misconception analysis. A central issue of empirical LA research consists of the frequent lack of an explicit theoretical framework from educational perspective. We maintain that educational and psychological theories are urgently needed for significant progress of upcoming LA research.

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Vorheriges Kapitel Informal Learning in Online Knowledge Communities: Predicting Community Response to Visitor Inquiries

Nächstes Kapitel Towards an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts

The model can be explored online at http://monet.informatik.rwth-aachen.de/DVita?id=3001

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Titel: Learning Analytics: Trends and Issues of the Empirical Research of the Years 2011–2014
verfasst von: Nicolae Nistor
Michael Derntl
Ralf Klamma
Verlag: Springer International Publishing
Buch: Design for Teaching and Learning in a Networked World
Print ISBN: 978-3-319-24257-6

Electronic ISBN: 978-3-319-24258-3

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-24258-3_39

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