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Fostering Analytics on Learning Analytics Research: the LAK Dataset

Contributo in Atti di convegno
Data di Pubblicazione:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Learning Analytics; Data; Linked Data; Semantic Web; Educational Data Mining
Elenco autori:
Taibi, Davide
Autori di Ateneo:
TAIBI DAVIDE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/248557
Titolo del libro:
Proceedings of the LAK Data Challenge, held at LAK 2013, the Third Conference on Learning Analytics and Knowledge
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
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URL

http://ceur-ws.org/Vol-974/lakdatachallenge2013_preface.pdf
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