Abstract
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.
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Acknowledgements
This work has been partially funded by the Government of Cantabria (Spain) under the doctoral studentship program from the University of Cantabria, and the Spanish Government and FEDER funder under grant TIN2011-28567-C03-02 (HI-PARTES).
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de la Vega, A., García-Saiz, D., Zorrilla, M., Sánchez, P. (2015). Towards a DSL for Educational Data Mining. In: Sierra-Rodríguez, JL., Leal, JP., Simões, A. (eds) Languages, Applications and Technologies. SLATE 2015. Communications in Computer and Information Science, vol 563. Springer, Cham. https://doi.org/10.1007/978-3-319-27653-3_8
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