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Factors Involved in the Academic Performance of Students of Technical Architecture Degree from the University of Alicante

Identifiers
URI: http://hdl.handle.net/20.500.12251/1483
ISSN: 23401079
ISBN: 9788460657637
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Author
Mora García, Raúl Tomás; Céspedes López, María Francisca; Pérez Sánchez, Juan Carlos; Pérez Sánchez, Vicente Raúl; García González, Encarnación [et al.]
Date
2015
Subject/s

Rendimiento académico

Arquitectura Técnica

Metodología didáctica

Universidad de Alicante

Análisis de regresión lineal

Aprendizaje

Unesco Subject/s

6303.03 Metodología

5801.03 Desarrollo del Programa de Estudios

5801.07 Métodos Pedagógicos

5802.03 Desarrollo de Asignaturas

5801.06 Evaluación de Alumnos

Abstract

The academic performance of university students is influenced by a wide variety of factors and is one of the main elements which influence students' leaving their university studies. Knowing which factors and, to what extent they may be taking part in students' academic performance, would be of the utmost importance in improving the teaching-learning process, the university excellence and the students' academic performance. It is the aim of this study to identify the potential factors which influence in the academic performance of the students of the degree in Technical Architecture. The study focuses on determining the explanatory and predictive power of seven variables so as to predict the students' academic performance throughout three academic courses. We used the statistical technique of multiple linear regression, in which statistically significant variables and the relative importance each of them has upon the academic performance of students have been identified.

The academic performance of university students is influenced by a wide variety of factors and is one of the main elements which influence students' leaving their university studies. Knowing which factors and, to what extent they may be taking part in students' academic performance, would be of the utmost importance in improving the teaching-learning process, the university excellence and the students' academic performance. It is the aim of this study to identify the potential factors which influence in the academic performance of the students of the degree in Technical Architecture. The study focuses on determining the explanatory and predictive power of seven variables so as to predict the students' academic performance throughout three academic courses. We used the statistical technique of multiple linear regression, in which statistically significant variables and the relative importance each of them has upon the academic performance of students have been identified.

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