This paper describes the Learning Analytics and Knowledge (LAK) Dataset, an unprecedented collection of structured data created from a set of key rese arch publications in the emerging field of learning analytics. The unstructured publications have been processed and exposed in a variety of formats, most notably according to Linked Data principles, in order to provide simplified access for researchers and practitioners. The aim of this dataset is to provide the opportunity to conduct investigations, for instance, about the evolution of the research field over time, correlations with other disciplines or to provide compelling applications which take advantage of the dataset in an innovative manner. In this paper, we describe the dataset, the design choices and rationale and provide an outlook on future investigations.

Fostering Analytics on Learning Analytics Research: the LAK Dataset

Davide Taibi;
2013

Abstract

This paper describes the Learning Analytics and Knowledge (LAK) Dataset, an unprecedented collection of structured data created from a set of key rese arch publications in the emerging field of learning analytics. The unstructured publications have been processed and exposed in a variety of formats, most notably according to Linked Data principles, in order to provide simplified access for researchers and practitioners. The aim of this dataset is to provide the opportunity to conduct investigations, for instance, about the evolution of the research field over time, correlations with other disciplines or to provide compelling applications which take advantage of the dataset in an innovative manner. In this paper, we describe the dataset, the design choices and rationale and provide an outlook on future investigations.
2013
Istituto per le Tecnologie Didattiche - ITD - Sede Genova
Learning Analytics
Data
Linked Data
Semantic Web
Educational Data Mining
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/248557
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