The LAK Data Challenge 2014 continues the research efforts of the second edition by stimulating research on the evolving fields Learning Analytics (LA) and Educational Data Mining (EDM). Building on a series of activities of the LinkedUp project, the challenge aims to generate new insights and analysis on the LA & EDM disciplines and is supported through the LAK Dataset - A unique corpus of LA & EDM literature, exposed in structured and machine-readable formats. Copyright © 2014 by the Association for Computing Machinery, Inc.

The learning analytics & knowledge (LAK) data challenge 2014

Taibi Davide;
2014

Abstract

The LAK Data Challenge 2014 continues the research efforts of the second edition by stimulating research on the evolving fields Learning Analytics (LA) and Educational Data Mining (EDM). Building on a series of activities of the LinkedUp project, the challenge aims to generate new insights and analysis on the LA & EDM disciplines and is supported through the LAK Dataset - A unique corpus of LA & EDM literature, exposed in structured and machine-readable formats. Copyright © 2014 by the Association for Computing Machinery, Inc.
2014
Istituto per le Tecnologie Didattiche - ITD - Sede Genova
Data mining
Learning analytics
Linked d
Visualization
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/230003
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