Towards a DSL for Educational Data Mining

Nowadays, most companies and organizations rely on computer systems to run their work processes. Therefore, the analysis of how these systems are used can be an important source of information to improve these work processes. In the era of Big Data, this is perfectly feasible with current state-of-a...

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Bibliographic Details
Published inLanguages, Applications and Technologies pp. 79 - 90
Main Authors de la Vega, Alfonso, García-Saiz, Diego, Zorrilla, Marta, Sánchez, Pablo
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2015
SeriesCommunications in Computer and Information Science
Subjects
Big data
Domain-specific languages
Educational data mining
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Summary:Nowadays, most companies and organizations rely on computer systems to run their work processes. Therefore, the analysis of how these systems are used can be an important source of information to improve these work processes. In the era of Big Data, this is perfectly feasible with current state-of-art data analysis tools. Nevertheless, these data analysis tools cannot be used by general users, as they require a deep and sound knowledge of the algorithms and techniques they implement. In other areas of computer science, domain-specific languages have been created to abstract users from low level details of complex technologies. Therefore, we believe the same solution could be applied for data analysis tools. This article explores this hypothesis by creating a Domain-Specific Language (DSL) for the educational domain.
ISBN:9783319276526
3319276522
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-319-27653-3_8