Towards the Proposal of a Specific Domain Model for Educational Data Mining: Problem Identification

Emilcy Juliana Hernandez-Leal, Nestor Dario Duque-Mendez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The use of data analysis techniques in educational contexts supports planning and decision-making. Data mining is an alternative that meets the current needs in data management in this field of study. However, most data mining tools and applications are geared towards general domains; they do not specialize in the problems or data inherent in this particular domain. This article presents an initial proposal for an educational data mining model with a specific domain approach to offer solution mechanisms to particular problems at each stage of the mining process and generic domain models in general. In this model iteration, the problems associated with the data were addressed through transformations from generic to a specific domain.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2021 16th Latin American Conference on Learning Technologies, LACLO 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas554-557
Número de páginas4
ISBN (versión digital)9781665423588
DOI
EstadoPublicada - 2021
Evento6th Latin American Conference on Learning Technologies, LACLO 2021 - Arequipa, Perú
Duración: 19 oct. 202121 oct. 2021

Serie de la publicación

NombreProceedings - 2021 16th Latin American Conference on Learning Technologies, LACLO 2021

Conferencia

Conferencia6th Latin American Conference on Learning Technologies, LACLO 2021
País/TerritorioPerú
CiudadArequipa
Período19/10/2121/10/21

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