A structural model of cognitive-motivational variables as explanatory factors of academic achievement in Spanish Language and Mathematics

In recent years, several explanatory models have been developed which attempt to analyse the predictive worth of various factors in relation to academic achievement, as well as the direct and indirect effects that they produce. The aim of this study was to examine a structural model incorporating various cognitive and motivational variables which influence student achievement in the two basic core skills in the Spanish curriculum: Spanish Language and Mathematics. These variables included differential aptitudes, specific self-concept, goal orientations, effort and learning strategies. The sample comprised 341 Spanish students in their first year of Compulsory Secondary Education. Various tests and questionnaires were used to assess each student, and Structural Equation Modelling (SEM) was employed to study the relationships in the initial model. The proposed model obtained a satisfactory fit for the two subjects studied, and all the relationships hypothesised were significant. The variable with the most explanatory power regarding academic achievement was mathematical and verbal aptitude. Also notable was the direct influence of specific self-concept on achievement, goal-orientation and effort, as was the mediatory effect that effort and learning strategies had between academic goals and final achievement.

An explanatory model of academic achievement based on aptitudes, goal orientations, self-concept and learning strategies

As a result of studies examining factors involved in the learning process, various structural models have been developed to explain the direct and indirect effects that occur between the variables in these models. The objective was to evaluate a structural model of cognitive and motivational variables predicting academic achievement, including general intelligence, academic self-concept, goal orientations, effort and learning strategies. The sample comprised of 341 Spanish students in the first year of compulsory secondary education. Different tests and questionnaires were used to evaluate each variable, and Structural Equation Modelling (SEM) was applied to contrast the relationships of the initial model. The model proposed had a satisfactory fit, and all the hypothesised relationships were significant. General intelligence was the variable most able to explain academic achievement. Also important was the direct influence of academic self-concept on achievement, goal orientations and effort, as well as the mediating ability of effort and learning strategies between academic goals and final achievement.

Academic Achievement in Early Adolescence: The Influence of Cognitive and Non-Cognitive Variables

The present study examined the predictive effects of intellectual ability, self-concept, goal orientations, learning strategies, popularity and parent involvement on academic achievement. Hierarchical regression analysis and path analysis were performed among a sample of 1398 high school students (mean age = 12.5; SD =.67) from eight education centers from the province of Alicante (Spain). Cognitive and non-cognitive variables were measured using validated questionnaires, whereas academic achievement was assessed using end-of-term grades obtained by students in nine subjects. The results revealed significant predictive effects of all of the variables. The model proposed had a satisfactory fit, and all of the hypothesized relationships were significant. These findings support the importance of including non-cognitive variables along with cognitive variables when predicting a model of academic achievement.

Relationship between sociometric types and academic achievement in a sample of compulsory secondary education students

The aim of this study was to analyse the relationship between sociometric types, behavioural categories and academic achievement in a sample of 1,349 compulsory secondary education students (51.7% boys), ranging in age from 12 to 16 years. The students’ sociometric identification was performed by using the Programa Socio and academic performance was measured by school marks provided by teachers in the subjects of Spanish language, mathematics and average academic performance. The results show that sociometric types were significant predictors of academic achievement, as students who were rated positively by their peers (popular, leaders, collaborators and good students) were more likely to have high academic achievement (in mathematics, Spanish language and average academic achievement) than students rated negatively by peers (rejected-aggressive, rejected-shy, neglected and bullies).

The SAAS-R: A New Instrument to Assess the School Attitudes of Students with High and Low Academic Achievement in Spain

We examined the psychometric properties of the School Attitude Assessment Survey–Revised in a Spanish population (n = 1,398). Confirmatory factor analysis procedures supported the instrument’s five-factor structure. The results of discriminant analysis demonstrated the predictive power of the School Attitude Assessment Survey–Revised scales as regards academic performance. Implications for education and assessment are discussed.

The Influence of Gender, Intellectual Ability, Academic Self-Concept, Self-Regulation, Learning Strategies, Popularity and Parent Involvement in Early Adolescence

The present study examined the predictive effects of gender, intellectual ability, self-concept, motivation, learning strategies, popularity and parent involvement on academic achievement. Hiearchical regression analysis were performed with six steps in which each variable was included, among a sample of 1398 high school students (mean age = 12.5; standard deviation = .67) of eight education centers from the province of Alicante (Spain). The results revealed significant predictive effects of all of the variables, explaining 59.1% of the total variance.

Research-action Methodology between Computer Science and Educational Psychology: a Multidisciplinary Approach

Computer science studies possess a strong multidisciplinary aptitude since most graduates do their professional work outside of a computing environment, in close collaboration with professionals from many different areas. However, the training offered in computer science studies lacks that multidisciplinary factor, focusing more on purely technical aspects. In this paper we present a novel experience where computer studies and educational psychology find a common ground and realistic working through laboratory practices. Specifically, the work enables students of computer science education the development of diagnosis support systems, with artificial intelligence techniques, which could then be used for future educational psychologists. The applications developed by computer science students are the creation of a model for the diagnosis of pervasive developmental disorders (PDD), sometimes also commonly called the autism spectrum disorders (ASD). The complexity of this diagnosis, not only by the exclusive characteristics of every person who suffers from it, but also by the large numbers of variables involved in it, requires very strong and close interdisciplinary participation. This work demonstrates that it is possible to intervene in a curricular perspective, in the university, to promote the development of interpersonal skills. What can be shown, in this way, is a methodology for interdisciplinary practices design and a guide for monitoring and evaluation. The results are very encouraging since we obtained significant differences in academic achievement between students who attended a course using the new methodology and those who did not use it.

¿Cómo se relaciona la ansiedad escolar con el rendimiento académico?

Se conoce poco sobre la relación existente entre la ansiedad escolar y el rendimiento académico de los alumnos. Este estudio analizó la relación entre ansiedad escolar y el rendimiento académico en una población de 520 estudiantes españoles de 12 a 18 años (M = 15.38, DE = 1.95). Los resultados revelaron que los estudiantes con alto rendimiento en castellano (lengua y literatura) presentaron puntuaciones significativamente más altas en ansiedad ante el fracaso y castigo escolar, ansiedad ante la agresión, ansiedad conductual y ansiedad psicofisiológica. Igualmente, los estudiantes con alto rendimiento en matemáticas presentaron puntuaciones significativamente más altas en ansiedad ante el fracaso y castigo escolar, ansiedad ante la agresión y ansiedad conductual. Además, los alumnos con éxito académico presentaron puntuaciones significativamente más altas en ansiedad ante el fracaso y castigo escolar, ansiedad conductual y ansiedad psicofisiológica. Sin embargo, los alumnos con fracaso escolar presentaron puntuaciones significativamente más altas en ansiedad ante la evaluación social. Finalmente, la ansiedad ante el fracaso y castigo escolar fue un predictor significativo del alto rendimiento en las asignaturas de castellano (lengua y literatura) y matemáticas, mientras que la ansiedad ante el fracaso y castigo escolar y la ansiedad ante la evaluación social fueron predictores significativos del éxito académico general. Así, los resultados indican un mayor rendimiento académico de los alumnos que presentan determinados temores escolares. Estos resultados podrían ser utilizados por profesores, psicólogos escolares y psicólogos clínicos como base empírica para desarrollar acciones preventivas y de intervención más eficaces del bajo rendimiento académico.

Psychometric properties of the Spanish adaptation of the School Attitude Assessment Survey-Revised

Background: The assessment of attitudes toward school with the objective of identifying adolescents who may be at risk of underachievement has become an important area of research in educational psychology, although few specific tools for their evaluation have been designed to date. One of the instruments available is the School Attitude Assessment Survey-Revised (SAAS-R). Method: The objective of the current research is to test the construct validity and to analyze the psychometric properties of the Spanish version of the SAAS-R. Data were collected from 1,398 students attending different high schools. Students completed the SAAS-R along with measures of the g factor, and academic achievement was obtained from school records. Results: Confirmatory factor analysis, multivariate analysis of variance and analysis of variance tests supported the validity evidence. Conclusions: The results indicate that the Spanish version of the SAAS-R is a useful measure that contributes to identification of underachieving students. Lastly, the results obtained and their implications for education are discussed.

Estudio de la inteligencia emocional en alumnos de enseñanza secundaria: influencia del sexo y del nivel educativo de los estudiantes y su relación con el rendimiento académico

Los objetivos de este estudio fueron analizar la inteligencia emocional entre alumnos de secundaria y la influencia del sexo, nivel educativo y rendimiento académico. La muestra fue de 151 alumnos. Se utilizó el EQ-i: YV y el promedio de calificaciones. Los resultados indicaron una fuerte relación entre inteligencia emocional y rendimiento académico, y diferencias significativas en función del sexo y nivel educativo.

Creatividad, atención y rendimiento académico en alumnado de conservatorio profesional

El objetivo de este trabajo fue analizar la relación entre creatividad, atención y su repercusión en los resultados académicos en las enseñanzas profesionales de música. Para ello, se ha seleccionado una muestra de 84 alumnos de entre 12 y 18 años (M = 14.79; DT = 2.29) que cursan Enseñanzas Profesionales en un Conservatorio de Música público y reglado. Se utilizaron como instrumentos de medida el Test de Inteligencia Creativa (CREA; Corbalán et al. 2003) y el Test de Atención (d2; Brickenkamp, 2004). Se hallaron correlaciones positivas y estadísticamente significativas entre (a) atención y creatividad y (b) atención y resultados académicos musicales. En cambio, se hallaron correlaciones negativas y estadísticamente significativas entre creatividad y rendimiento académico musical. Tras los resultados se pueden establecer programas preventivos o potenciadores de la creatividad y la atención, con el fin de fomentar que la totalidad del alumnado de conservatorio alcance su máximo potencial y un alto rendimiento, ya que éstos son el reflejo de un aprendizaje más eficaz.

Motivational profiles Spanish students of Compulsory Secondary Education: Differential analysis of academic self-attributions

Academic goals and academic self-attributions are relevant variables in school settings. The objective of this study is to identify whether there are combinations of multiple goals that lead to different motivational profiles and to determine whether there are significant differences between the groups obtained regarding causal attributions of success and failure (ability, effort, or external causes) in Mathematics and Language and Literature, and in overall academic performance. The Goal Achievement Tendencies Questionnaire (AGTQ) and the Sydney Attribution Scale (SAS) were administered to a sample of 2022 students of compulsory secondary education, ranging in age from 12 to 16 years (M = 13.81, SD = 1.35). Cluster analysis identified four motivational profiles: a group of students with a high generalized motivation profile, a group of students with low generalized motivation profile, a group of students with predominance of learning goals and achievement goals, and a final group of students with predominance of social reinforcement goals. Results revealed statistically significant differences between the profiles obtained in academic self-attributions.