TY - CHAP
T1 - How educational data mining empowers state policies to reform education
T2 - the mexican case study
AU - Peña-Ayala, Alejandro
AU - Cárdenas, Leonor
N1 - Funding Information:
Nowadays, Mexico is living a full transformation in strategic areas such as: education, energy, finances, fiscal, and labor. This synergy is leaded by the Executive Power and supported by the Legislative Power. As the first change, the Federal Government has ordered an educational reform. A briefing of the current progress is shaped as follows:
Funding Information:
The first author gives testimony of the strength given by his Father, Brother Jesus, and Helper, as part of the research projects of World Outreach Light to the Nations Ministries (WOLNM). Moreover, a mention is given to Mr. Lawrence Whitehill Waterson, a native British English speaker who tunes the manuscript, as well as Aldo Ramírez Arellano for his edition support. In addition, a special mention is given to the Instituto Nacional para la Evaluación de la Educación for the publication of the source data used in this case study for exclusively research purposes. Finally, this research holds a partial support from grants given by: CONACYT-SNI-36453, CONACYT 118862, CONACYT 118962-162727, IPN-PIFI/20131093-28/1398, CONACYT 360532/289763. and IPN-COFAA-SIBE DEBEC/647-391/2013.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Association rules
KW - Clustering
KW - Data mining
KW - Educational data mining
KW - Educational policies
KW - Knowledge discovery in databases
KW - Student opinions
UR - http://www.scopus.com/inward/record.url?scp=84958544656&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-02738-8_3
DO - 10.1007/978-3-319-02738-8_3
M3 - Capítulo
AN - SCOPUS:84958544656
SN - 9783319027371
T3 - Studies in Computational Intelligence
SP - 65
EP - 101
BT - Educational Data Mining
PB - Springer Verlag
ER -