| The Learning Analytics and Knowledge (LAK) Dataset represents an unprecedented corpus which exposes a near complete collection of bibliographic resources for a specific research discipline, namely the connected areas of Learning Analytics and Educational Data Mining. Covering over five years of scientific literature from the most relevant conferences and journals, the dataset provides Linked Data about bibliographic metadata as well as full text of the paper body.
The dataset has been designed following established Linked Data pattern, reusing established vocabularies and providing links to established schemas and entity coreferences in related datasets. The goal is to facilitate research, analysis and smart explorative applications. Data arise from actual learning processes in any domain that is used within LA research and practice. This might involve datasets that facilitate further methodological development or that are of direct utility for learning analytics, including datasets that: • Enrich learning analytics or educational data mining scenarios Given the temporal and topic coverage of the dataset, being a near-complete corpus of research publications of a particular discipline, it facilitates scientometric investigations, for instance, about the evolution of a scientific field over time, or correlations with other disciplines, what is documented through its usage in a wide range of scientific studies and applications. The LAK Dataset Website (https://solaresearch.org/initiatives/dataset/) provides access to the LAK Dataset as well as the associated LAK Data Challenge and contains the latest information about the data itself as well as latest calls and updates related to the LAK Data Challenges. Further details can be also find here: http://www.semantic-web-journal.net/content/facilitating-scientometrics-learning-analytics-and-educational-data-mining-lak-dataset-3
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Learning Analytics Toolbox