Abstract

AbstractThe transition from high school to university is a critical step and many students head toward failure just because their final degree option was not the right choice. Both students’ preferences and skills play an important role in choosing the degree that best fits them, so an analysis of these attitudes during the high school can minimize the drop out in a posteriori learning period like university. We propose a subgroup discovery algorithm based on grammars to extract itemsets and relationships that represent any type of homogeneity and regularity in data from a supervised context. This supervised context is cornerstone, considering a single item or a set of them as interesting and distinctive. The proposed algorithm supports the students’ final degree decision by extracting relations among different students’ skills and preferences during the high school period. The idea is to be able to provide advices with regard to what is the best degree option for each specific skill and...

Highlights

  • The transition from high school 13 to university is not always an easy change and many students head toward failure

  • In a first analysis, the grade point average (GPA) value is fixed in the antecedent of the rule, so the grammar enables just rules having this fixed attribute to be extracted

  • We have studied and analysed high school information gathered from different students to prevent the enrolment in degrees in which the students are not skilled

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Summary

Introduction

The transition from high school 13 to university is not always an easy change and many students head toward failure. This lack of success is caused by typical reasons of the students’ age, whose freedom to plan their learning processes and the flexibility of the university schedules give rise to a massive drop out 2. This failure could be caused by different factors [21,24] whose origin is the wrong decision of the students in choosing the right degree to be studied. A major problem in many countries is the drop out rates in any level of the learning process and, in higher education like university studies. A combination of factors leads to drop-out and many countries around the world tackle the problem by policies that offer financial support to students or even by introducing special programs to understand the skills and interests of students to guide them

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