Academic goals and learning quality in higher education students.

In this paper, the relations between academic goals and various indicators that define the quality of the learning process are analyzed. The purpose was to determine to what extent high, moderate, or low levels of academic goals were positively or negatively related to effort regulation, the value assigned to academic tasks, meta-cognitive self-regulation, self-efficacy, beliefs about learning control, and management of time and study environment. The investigation was carried out with a sample of 632 university students (70% female and 30% male) and mean age of 21.22 (SD=2.2).The results show that learning goals, or task orientation, are positively related to all the indictors of learning quality considered herein. Although for other kinds of goals-work-avoidance goals, performance-approach goals, and performance-avoidance goals-significant relations were not found with all the indicators, there was a similar tendency of significant results in all cases; the higher the levels of these goals, the lower the levels of the indicators of learning quality.

Academic Goals and Learning Quality in Higher Education Students

In this paper, the relations between academic goals and various indicators that define the quality of the learning process are analyzed. The purpose was to determine to what extent high, moderate, or low levels of academic goals were positively or negatively related to effort regulation, the value assigned to academic tasks, meta-cognitive self-regulation, self-efficacy, beliefs about learning control, and management of time and study environment. The investigation was carried out with a sample of 632 university students (70% female and 30% male) and mean age of 21.22 (SD=2.2). The results show that learning goals, or task orientation, are positively related to all the indictors of learning quality considered herein. Although for other kinds of goals -work-avoidance goals, performance-approach goals, and performance-avoidance goals- significant relations were not found with all the indicators, there was a similar tendency of significant results in all cases; the higher the levels of these goals, the lower the levels of the indicators of learning quality (AU)

En este trabajo se analizan las relaciones de las metas académicas con varios indicadores que definen la calidad del proceso de aprendizaje. Se trata de comprobar hasta qué punto el tener niveles altos, moderados o bajos en las metas académicas se relaciona positiva o negativamente en la regulación del esfuerzo, en el valor asignado a las tareas académicas, en la autorregulación metacognitiva, en la autoeficacia, en las creencias de control y en la gestión del tiempo y ambiente de estudio. La investigación se llevó a cabo con una muestra de 632 estudiantes universitarios (70% mujeres y 30% hombres) con una edad media de 21.22 (SD=2.2). Los resultados encontrados demuestran que las learning goals, o de aproximación a la tarea, se encuentran relacionadas positivamente con todos los indicadores de calidad del aprendizaje contemplados. En los otros tipos de metas -work-avoidance goals, performance-approach goals and performance avoidance goals-, aún no habiendo una relación significativa con todos los indicadores, la tendencia de los resultados significativos es la misma en todos los casos, cuanto más altos son los niveles de estas metas, más bajos son los niveles indicadores de calidad del aprendizaje (AU)

Self-regulated profiles and academic achievement.

To date, research on the relation between learning self-regulation and academic achievement has generally show disparate results. This work intends to look into this relation from a new perspective, which consists in classifying the students as more or less self-regulated depending on diverse indicators and using cluster analysis. The aim of this work was to identify the possible self-regulated learning profiles in a sample of university students. By means of stepwise linear regression analysis, we determined which of the selected variables better predicted metacognitive self-regulation. Then, three significantly different self-regulated learning profiles were obtained by two-step cluster analysis with those variables. Lastly, ANOVA was used to analyse the relation between the self-regulated learning profiles and academic achievement. The implications of these data for the educational practice at university are discussed.

Self-regulated profiles and academic achievement / Perfiles de aprendizaje autorregulado y rendimiento académico

To date, research on the relation between learning self-regulation and academic achievement has generally show disparate results. This work intends to look into this relation from a new perspective, which consists in classifying the students as more or less self-regulated depending on diverse indicators and using cluster analysis. The aim of this work was to identify the possible self-regulated learning profiles in a sample of university students. By means of stepwise linear regression analysis, we determined which of the selected variables better predicted metacognitive self-regulation. Then, three significantly different self-regulated learning profiles were obtained by two-step cluster analysis with those variables. Lastly, ANOVA was used to analyse the relation between the self-regulated learning profiles and academic achievement. The implications of these data for the educational practice at university are discussed

Hasta la fecha, la investigación sobre la relación entre autorregulación del aprendizaje y rendimiento académico, en general, ha arrojado resultados no siempre coincidentes. En este trabajo se pretende investigar dicha relación desde una nueva perspectiva, la cual consiste en clasificar a los estudiantes como más o menos autorreguladores en base a diferentes indicadores y con la ayuda del análisis cluster. Por tanto, el objetivo de este trabajo consistió en identificar posibles perfiles de aprendizaje autorregulado en una muestra de estudiantes universitarios. Para ello, mediante análisis de regresión múltiple (método de pasos sucesivos), se trató de comprobar qué variables de las seleccionadas predecían mejor la autorregulación metacognitiva. Posteriormente, a través de análisis cluster, con esas variables se identificaron tres perfiles de aprendizaje autorregulado significativamente diferentes. Por último, mediante un ANOVA, se analizó la relación existente entre tales perfiles de aprendizaje autorregulado y el rendimiento académico. Se presentan y comentan las implicaciones de estos datos para la práctica educativa en la Universidad