Sex, Attitude and Performance in Mathematics. Predictor Variables

Autor: Dorinda Mato-Vázquez, Jesús Miguel Muñoz Cantero, Alicia Arias-Rodríguez
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Estudios sobre Educación, Vol 35, Pp 429-451 (2018)
ISSN: 2386-6292
1578-7001
Popis: The subject of mathematics is highly valued socially. However, it suffers the rejection of students and obtains a low performance in the school curriculum. This research aims to analyse the predictive value in academic performance of variables such as attitude, sex and profession and studies of parents. A casual non-probabilistic sampling was applied to 2.549 high school students. Subsequently, descriptive, correlational and predictive analyses were carried out. The results show the importance of attitude, pleasure and usefulness of mathematics, although the profession and studies of parents influence differently depending on sex.
Databáze: OpenAIRE