Encyclopedia of Education and Information Technologies

2020 Edition
| Editors: Arthur Tatnall

Data Mining for Educational Management

  • Estefania Osorio-AcostaEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-030-10576-1_124



Based on computer information systems, data mining (DM) is a technique designed to scan huge data repositories, generate information, and discover knowledge (Vlahos et al. 2004). By applying different tools, DM seeks hidden relationships in raw data in order to discover data patterns. Therefore, DM can play an important role in unveiling a broad set of findings and, consequently, offers valuable support in decision-making. The incorporation of DM into the educational arena has given rise to a new research field called educational data mining (EDM) (Anjewierden et al. 2011). In this case, the aim is to design models, tasks, methods, and algorithms for exploring data from educational settings (Peña-Ayala 2014). Altogether, they can help to improve management activities in educational institutions, thus empowering the performance of educational managers.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Universidad Politécnica de ValenciaValenciaSpain

Section editors and affiliations

  • Javier Osorio
    • 1
  1. 1.Universidad de Las Palmas de Gran CanariaCanariaSpain