How educational data mining empowers state policies to reform education: the mexican case study

Alejandro Peña-Ayala, Leonor Cárdenas

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

In this chapter we present a case study that illustrates how educational data mining (EDM) is able to support the implementation of government policies and assist the labor of public institutions. Specifically, we highlight the current educational reforms in Mexico and focus on one of its main goals: to enhance the education quality. In response, a valuable data source is mined to discover interesting findings what students think about education, family, teachers, and their surroundings. Thus, a brief description of the legal and social context is given, as well as a profile of the students opinions expressed in a national survey is shaped. Moreover, a framework to build an EDM approach is outlined and a sample of the mined results is stated. As a result of the findings generated by the EDM approach, an interpretation is provided to tailor a conceptual view of the observations made by students, as well as some initiatives to deal with the findings. The work concludes with an exposition of the reasons for presenting this kind of work, a comment on the research fulfilled, a viewpoint of the education in Mexico, and some suggestions to support State polices to enhance education.

Original languageEnglish
Title of host publicationEducational Data Mining
Subtitle of host publicationApplications and Trends
PublisherSpringer Verlag
Pages65-101
Number of pages37
ISBN (Print)9783319027371
DOIs
StatePublished - 2014

Publication series

NameStudies in Computational Intelligence
Volume524
ISSN (Print)1860-949X

Keywords

  • Association rules
  • Clustering
  • Data mining
  • Educational data mining
  • Educational policies
  • Knowledge discovery in databases
  • Student opinions

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