Data Pre-processing and Data Generation in the Student Flowcase Study
- Luís Cavique 12
- Paulo Pombinho 2
- Tallón-Ballesteros, Antonio J. 3
- Luís Correia 2
-
1
Universidade Aberta
info
-
2
Universidade de Lisboa
info
-
3
Universidad de Huelva
info
- Cesar Analide (ed. lit.)
- Paulo Novais (ed. lit.)
- David Camacho (ed. lit.)
- Hujun Yin (ed. lit.)
Éditorial: Springer International Publishing AG
ISBN: 978-3-030-62362-3, 978-3-030-62361-6, 978-3-030-62364-7, 978-3-030-62365-4
Année de publication: 2020
Titre du volume: Part II
Volumen: 2
Pages: 35-43
Congreso: Intelligent Data Engineering and Automated Learning – IDEAL (21. 2020. Guimarães)
Type: Communication dans un congrès
Résumé
Education covers a range of sectors from kindergarten to higher education. In the education system, each grade has three possible outcomes: dropout, retention and pass to the next grade. In this work, we study the data from the Department of Statistics of Education and Science (DGEEC) of the Education Ministry. DGEEC maintains those outcomes for each school year, therefore, this study seeks a longitudinal view based on student flow. The document reports the data pre-processing, a stochastic model based on the pre-processed data and a data generation process that uses the previous model.