Psychometric Properties of Parental Burnout Assessment and Prevalence of Parental Burnout: A Person-Centered Approach.

BACKGROUND/OBJETIVE: The objective of this research is threefold. First, to study the structure of the Parental Burnout Assessment (PBA); second, to learn whether parents combine the dimensions of PBA in profiles; and third, to analyze the prevalence levels of parental burnout. METHOD: To address these objectives, the responses of 438 mothers and fathers were analyzed with confirmatory factor analysis and latent profile analysis. RESULTS: Strong evidence of validity (structural) and reliability (internal consistency) of the PBA was found. Four parental burnout profiles were identified. Moreover, from a variable-centered perspective and a person-centered perspective, very high levels of parental burnout were found. CONCLUSIONS: Data indicate that the PBA is a reliable and valid instrument and suggest that practitioners may use the particular scores of the dimensions or the overall score. Likewise, the level of the four dimensions in the four parental burnout profiles (PBP) is similar within and different between profiles. Finally, the prevalence level of parental burnout is very high (over 26%) compared to data from previous studies (3.2%).

ANTECEDENTES/OBJETIVO: Con esta investigación se pretendió estudiar la estructura del Parental Burnout Assessment (PBA), averiguar si los padres combinan las dimensiones del PBA en términos de perfiles y, finalmente, analizar los niveles de prevalencia. MÉTODO: Se analizaron las respuestas de 438 madres y padres con análisis factorial confirmatorio y análisis de perfiles latentes. RESULTADOS: Se obtuvo evidencia tanto de validez (estructural) como de fiabilidad (consistencia interna) del PBA. En base a las cuatro dimensiones del PBA se identificaron cuatro perfiles de agotamiento. Tanto desde una perspectiva centrada en la variable como desde una perspectiva centrada en la persona, se obtuvieron niveles muy altos de burnout parental. CONCLUSIONES: Los resultados del estudio indican que el PBA es un instrumento válido y fiable (pudiéndose utilizar tanto los puntajes particulares de las dimensiones como el puntaje general). Asimismo, el nivel de las cuatro dimensiones, en los cuatro perfiles de burnout parental, es similar dentro de cada perfil, pero diferente entre los perfiles. Finalmente, en comparación con el porcentaje indicado por estudios previos (3,2%), el nivel de prevalencia de burnout parental derivado de nuestro estudio es muy alto (sobre un 26%).

Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System.

Self-regulated learning (SRL) is critical for learning across tasks, domains, and contexts. Despite its importance, research shows that not all learners are equally skilled at accurately and dynamically monitoring and regulating their self-regulatory processes. Therefore, learning technologies, such as intelligent tutoring systems (ITSs), have been designed to measure and foster SRL. This paper presents an overview of over 10 years of research on SRL with MetaTutor, a hypermedia-based ITS designed to scaffold college students' SRL while they learn about the human circulatory system. MetaTutor's architecture and instructional features are designed based on models of SRL, empirical evidence on human and computerized tutoring principles of multimedia learning, Artificial Intelligence (AI) in educational systems for metacognition and SRL, and research on SRL from our team and that of other researchers. We present MetaTutor followed by a synthesis of key research findings on the effectiveness of various versions of the system (e.g., adaptive scaffolding vs. no scaffolding of self-regulatory behavior) on learning outcomes. First, we focus on findings from self-reports, learning outcomes, and multimodal data (e.g., log files, eye tracking, facial expressions of emotion, screen recordings) and their contributions to our understanding of SRL with an ITS. Second, we elaborate on the role of embedded pedagogical agents (PAs) as external regulators designed to scaffold learners' cognitive and metacognitive SRL strategy use. Third, we highlight and elaborate on the contributions of multimodal data in measuring and understanding the role of cognitive, affective, metacognitive, and motivational (CAMM) processes. Additionally, we unpack some of the challenges these data pose for designing real-time instructional interventions that scaffold SRL. Fourth, we present existing theoretical, methodological, and analytical challenges and briefly discuss lessons learned and open challenges.

[Empirically Supported Psychological Treatments for Children and Adolescents: State of the Art].

Empirically Supported Psychological Treatments for Children and Adolescents: State of the Art. BACKGROUND: The empirical evidence accumulated on the efficacy, effectiveness, and efficiency of psychotherapeutic treatments in children and adolescents calls for an update. The main goal of this paper objective was to carry out a selective review of empirically supported psychological treatments for a variety of common psychological disorders and problems in childhood and adolescence. METHOD: A review was carried out of the psychological treatments for different psychological disorders and problems in social-emotional or behavioral adjustment in the child-adolescent population according to the Spanish National Health System (Clinical Practice Guidelines) levels of evidence and degrees of recommendation. RESULTS: The findings suggest that psychological treatments have empirical support for addressing a wide range of psychological problems in these developmental stages. The degree of empirical support ranges from low to high depending on the phenomenon analyzed. The review suggests unequal progress in the different fields of intervention. CONCLUSIONS: From this update, psychologists will be able to make informed decisions when implementing those empirically supported treatments to address the problems that occur in childhood and adolescence.

New media for the promotion of self-regulated learning in higher education.

In this article, some of most relevant programs of self-regulation of academic learning in the sphere of higher education were reviewed. Although there are quite a few of them, we reviewed only the interventions whose contents had been implemented in e-learning modalities or had been supported by the new information and communication technologies. For this task, we arranged the programs along a continuum that ranged from those that deal with the development of self-regulatory competences by indirect training of such competences to the programs whose impact on such competences is much more direct. Lastly, we provide information about a program that our research team is developing and implementing as a pilot study, and whose preliminary results seem highly satisfactory.

[Efficacy of the program "Testas's (mis)adventures" to promote the deep approach to learning]. / Eficacia del programa "(Des)venturas de Testas" para la promoción de un enfoque profundo de estudio.

This paper provides information about the efficacy of a tutorial training program intended to enhance elementary fifth graders' study processes and foster their deep approaches to learning. The program "Testas's (mis)adventures" consists of a set of books in which Testas, a typical student, reveals and reflects upon his life experiences during school years. These life stories are nothing but an opportunity to present and train a wide range of learning strategies and self-regulatory processes, designed to insure students' deeper preparation for present and future learning challenges. The program has been developed along a school year, in a one hour weekly tutorial sessions. The training program had a semi-experimental design, included an experimental group (n=50) and a control one (n=50), and used pre- and posttest measures (learning strategies' declarative knowledge, learning approaches and academic achievement). Data suggest that the students enrolled in the training program, comparing with students in the control group, showed a significant improvement in their declarative knowledge of learning strategies and in their deep approach to learning, consequently lowering their use of a surface approach. In spite of this, in what concerns to academic achievement, no statistically significant differences have been found.

Effects of ADHD on Writing Composition Product and Process in School-Age Students.

Objective: This study examined the relationship between ADHD and writing performance. Method: Students in Grades 3 to 7, 84 with ADHD and 135 age- and gender-matched controls completed a writing task (including process logs), and measures of working memory and attention. Results: Students with ADHD wrote texts of similar length but with poorer structure, coherence, and ideation. In all, 6.7% of the variance in writing quality was explained by whether or not the student had an ADHD diagnosis, after control for IQ and age-within-year, with ADHD students producing text that was less coherent, well structured, and ideationally rich, and spending less time thinking about and reviewing their text. Half of the effect on text quality could be attributed to working memory and sustained attention effects. Conclusion: ADHD has some effect on writing performance, which can, in part, be explained by working memory and attentional deficits.

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties.

Learning disabilities (LDs) encompass disorders of those who have difficulty learning and using academic skills, exhibiting performance below expectations for their chronological age in the areas of reading, writing, and/or mathematics. Each of the disorders making up the LDs involve different deficits; however, some commonalities can be found within that heterogeneity, such in terms of learning self-regulation and metacognition. Unlike in early ages and later educational levels, there are hardly any evidence-based evaluation protocols for adults with LDs. LDs influence academic performance but also have serious consequences in professional, social, and family contexts. In response to this, the current work proposes a multimodal evaluation protocol focused on metacognitive, self-regulation of learning, and emotional processes, which make up the basis of the difficulties in adults with LDs. The assessment is carried out through analysis of the on-line learning process using a variety methods, techniques, and sensors (e.g., eye tracking, facial expressions of emotion, physiological responses, concurrent verbalizations, log files, screen recordings of human-machine interactions) and off-line methods (e.g., questionnaires, interviews, and self-report measures). This theoretically-driven and empirically-based guideline aims to provide an accurate assessment of LDs in adulthood in order to design effective prevention and intervention proposals.

[Intellectual styles and academic achievement: a developmental perspective]. / Estilos intelectuales y rendimiento académico: una perspectiva evolutiva.

The aim of the present study is to provide additional information to highlight some aspects concerning the relationship between thinking styles and academic achievement. In order to understand the extent to which thinking styles predict academic achievement, 1466 students, between 12 and 16 years old, from first to fourth grades of Compulsory Secondary Education (Spanish ESO) took part in the research. A parsimonious model of covariances was assumed in each of the four samples corresponding to the four different grades of Secondary School as well as in the total sample. Data show that thinking styles significantly explain part of the variance of academic achievement, although only about 10%.

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.

The Effect of Parental Control on Cyber-Victimization in Adolescence: The Mediating Role of Impulsivity and High-Risk Behaviors.

The aim of this work is to analyze the relationship between parental control and cyber-victimization in adolescence, considering the possible mediating effect of impulsivity, and high-risk internet behavior. To that end we analyzed the responses of 3360 adolescents aged between 11 and 18 (M = 14.02; SD = 1.40), from Asturias (Spain), to four previously validated questionnaires in order to measure the level of parental control over the use of the internet (restriction and supervision), along with high-risk internet behaviors, impulsivity, and cyber-victimization in the adolescents. The results show that parental control tends to have a protective effect on the likelihood of the children being victims of cyber-aggression, with impulsivity, and high-risk internet behaviors as mediating variables. More specifically, parental restriction and supervision are positively related to each other; both forms of parental control are negatively related with the adolescent's engaging in high-risk internet behaviors; supervision is negatively related with impulsivity; impulsivity is positively related with high-risk internet behaviors; and both impulsivity and high-risk internet behaviors are positively related to being a victim of cyber-aggression. The practical implications of these results are discussed.

The Influence of Self-Regulation Behaviors on University Students' Intentions of Persistance.

The implementation of the European higher education area (EHEA) is a true paradigm change in university education in which the student, with particular consideration given to autonomous work, takes the place of the teacher as the central element of the teaching-learning process. In this autonomous work, the strategies the students regularly use become particularly important, given the supposition that doing that work will lead to academic success. The objective of this study is to analyze the variables that influence students' expectations of success, measured through their intention to persist on the course they are doing. A questionnaire designed ad hoc was given to a sample of 1037 university students. It included aspects related to reasons for choosing the course, institutional integration, use of self-regulation strategies, and intention to drop out. Data analysis allowed the identification of satisfaction with the course chosen and appropriate study skills acquired in secondary education as predictors of expectations of academic persistance, with some differences in terms of gender. Other strategies such as class attendance or going deeply into course content did not figure. These results are at odds with the principles underlying the EHEA and show that they have not yet been interiorized by the students, who continue to perceive their studies more traditionally.

Impact of Family and Friends on Antisocial Adolescent Behavior: The Mediating Role of Impulsivity and Empathy.

Adolescence is an especially risky phase for the appearance of antisocial behaviors. Antisocial behavior produces significant individual and social harms, so it is important to provide keys for prevention and treatment. To do that, it is essential to identify the main predictors. The objective of this study is to analyze the effect of family (affection and communication, behavioral control) and friends (antisocial friendships) on adolescent antisocial behavior, as well as the mediating role of adolescent impulsivity and empathy on these relationships. Previously validated questionnaires measuring parental affection and communication, and behavioral control, as well as adolescent impulsivity, empathy, antisocial friendships, and antisocial behavior were applied to 3199 adolescents in Asturias (Spain), aged between 11 and 18 (M = 14.03; SD = 1.39). Descriptive, correlational, and structural equation analysis were performed. Antisocial friendships were a risk factor for antisocial behavior in adolescence, with a moderate effect size. The effect is mostly direct, although it is also indirect through the positive relationship with adolescent impulsivity and low empathy. The two analyzed parenting style dimensions (affection and communication, and behavioral control) demonstrate a protective effect, albeit small, on adolescent antisocial behavior. There is a direct protective effect, but it is mostly indirect through the negative relationship with antisocial friendships and low adolescent empathy. Parental behavioral control can be a risk factor for antisocial behavior, through the positive relationship with adolescent impulsivity. This study helps to clarify the causal mechanisms of antisocial behavior in adolescence, as a basis for its prevention and treatment.

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.

Discovering learning processes using Inductive Miner: A case study with Learning Management Systems (LMSs).

BACKGROUND: Process mining with educational data has made use of various algorithms for model discovery, principally Alpha Miner, Heuristic Miner, and Evolutionary Tree Miner. In this study we propose the implementation of a new algorithm for educational data called Inductive Miner. METHOD: We used data from the interactions of 101 university students in a course given over one semester on the Moodle 2.0 platform. Data was extracted from the platform's event logs; following preprocessing, the mining was carried out on 21,629 events to discover what models the various algorithms produced and to compare their fitness, precision, simplicity and generalization. RESULTS: The Inductive Miner algorithm produced the best results in the tests on this dataset, especially for fitness, which is the most important criterion in terms of model discovery. In addition, when we weighted the various metrics according to their importance, Inductive Miner continued to produce the best results. CONCLUSIONS: Inductive Miner is a new algorithm which, in addition to producing better results than other algorithms using our dataset, also provides valid models which can be interpreted in educational terms.

Procrastinating Behavior in Computer-Based Learning Environments to Predict Performance: A Case Study in Moodle.

Introduction: Research about student performance has traditionally considered academic procrastination as a behavior that has negative effects on academic achievement. Although there is much evidence for this in class-based environments, there is a lack of research on Computer-Based Learning Environments (CBLEs). Therefore, the purpose of this study is to evaluate student behavior in a blended learning program and specifically procrastination behavior in relation to performance through Data Mining techniques. Materials and Methods: A sample of 140 undergraduate students participated in a blended learning experience implemented in a Moodle (Modular Object Oriented Developmental Learning Environment) Management System. Relevant interaction variables were selected for the study, taking into account student achievement and analyzing data by means of association rules, a mining technique. The association rules were arrived at and filtered through two selection criteria: 1, rules must have an accuracy over 0.8 and 2, they must be present in both sub-samples. Results: The findings of our study highlight the influence of time management in online learning environments, particularly on academic achievement, as there is an association between procrastination variables and student performance. Conclusion: Negative impact of procrastination in learning outcomes has been observed again but in virtual learning environments where practical implications, prevention of, and intervention in, are different from class-based learning. These aspects are discussed to help resolve student difficulties at various ages.

Psychometric Properties of Parental Burnout Assessment and Prevalence of Parental Burnout: A Person-Centered Approach / Propiedades psicométricas del Parental Burnout Assessment y prevalencia del burnout parental: un enfoque personal

ResumenAntecedentes/Objetivo: Con esta investigación se pretendió estudiar la estructura del Parental Burnout Assessment (PBA), averiguar si los padres combinan las dimensiones del PBA en términos de perfiles y, finalmente, analizar los niveles de prevalencia. Método: Se analizaron las respuestas de 438 madres y padres con análisis factorial confirmatorio y análisis de perfiles latentes. Resultados: Se obtuvo evidencia tanto de validez (estruc-tural) como de fiabilidad (consistencia interna) del PBA. En base a las cuatro dimensiones del PBA se identificaron cuatro perfiles de agotamiento. Tanto desde una perspectiva centrada en la variable como desde una perspectiva centrada en la persona, se obtuvie-ron niveles muy altos de burnout parental. Conclusiones: Los resultados del estudio indi-can que el PBA es un instrumento válido y fiable (pudiéndose utilizar tanto los puntajes particulares de las dimensiones como el puntaje general). Asimismo, el nivel de las cua-tro dimensiones, en los cuatro perfiles de burnout parental, es similar dentro de cada perfil, pero diferente entre los perfiles. Finalmente, en comparación con el porcentaje indicado por estudios previos (3,2%), el nivel de prevalencia de burnout parental deriva-do de nuestro estudio es muy alto (sobre un 26%).

AbstractBackground/Objetive: The objective of this research is threefold. First, to study the structure of the Parental Burnout Assessment (PBA); second, to learn whether parents combine the dimensions of PBA in profiles; and third, to analyze the prevalence levels of parental burnout. Method: To address these objectives, the responses of 438 mothers and fathers were analyzed with confirmatory factor analysis and latent profile analysis. Results: Strong evidence of validity (structural) and reliability (internal consistency) of the PBA was found. Four parental burnout profiles were identified. Moreover, from a variable-centered perspective and a person-centered perspective, very high levels of parental burnout were found. Conclusions: Data indicate that the PBA is a reliable and valid instrument and suggest that practitioners may use the particular scores of the dimensions or the overall score. Likewise, the level of the four dimensions in the four parental burnout profiles (PBP) is similar within and different between profiles. Finally, the prevalence level of parental burnout is very high (over 26%) compared to data from previous studies (3.2%).

Discovering learning processes using Inductive Miner: A case study with Learning Management Systems (LMSs) / Descubriendo procesos de aprendizaje aplicando Inductive Miner: un estudio de caso en Learning Management Systems (LMSs)

BACKGROUND: Process mining with educational data has made use of various algorithms for model discovery, principally Alpha Miner, Heuristic Miner, and Evolutionary Tree Miner. In this study we propose the implementation of a new algorithm for educational data called Inductive Miner. METHOD: We used data from the interactions of 101 university students in a course given over one semester on the Moodle 2.0 platform. Data was extracted from the platform's event logs; following preprocessing, the mining was carried out on 21,629 events to discover what models the various algorithms produced and to compare their fi tness, precision, simplicity and generalization. RESULTS: The Inductive Miner algorithm produced the best results in the tests on this dataset, especially for fi tness, which is the most important criterion in terms of model discovery. In addition, when we weighted the various metrics according to their importance, Inductive Miner continued to produce the best results. CONCLUSIONS: Inductive Miner is a new algorithm which, in addition to producing better results than other algorithms using our dataset, also provides valid models which can be interpreted in educational terms

ANTECEDENTES: en la minería de procesos con datos educativos se utilizan diferentes algoritmos para descubrir modelos, sobremanera el Alpha Miner, el Heuristic Miner y el Evolutionary Tree Miner. En este trabajo proponemos la implementación de un nuevo algoritmo en datos educativos, el denominado Inductive Miner. MÉTODO: hemos utilizado datos de interacción de 101 estudiantes universitarios en una asignatura de grado desarrollada en la plataforma Moodle 2.0. Una vez prepocesados se ha realizado la minería de procesos sobre 21.629 eventos para descubrir los modelos que generan los diferentes algoritmos y comparar sus medidas de ajuste, precisión, simplicidad y generalización. RESULTADOS: en las pruebas realizadas en nuestro conjunto de datos el algoritmo Inductive Miner es el que obtiene mejores resultados, especialmente para el valor de ajuste, criterio de mayor relevancia en lo que respecta al descubrimiento de modelos. Además, cuando ponderamos con pesos las diferentes métricas seguimos obteniendo la mejor medida general con el Inductive Miner. CONCLUSIONES: la implementación de Inductive Miner en datos educativos es una nueva aplicación que, además de obtener mejores resultados que otros algoritmos con nuestro conjunto de datos, proporciona modelos válidos e interpretables en términos educativos

MeL: Modelo de adaptación dinámica del proceso de aprendizaje en eLearning / MeL: a dynamic adaptive model of the learning process in eLearning

En nuestra vida diaria hemos integrado progresivamente el uso de Internet. Esta incorporación también se ha producido en todos los niveles educativos, donde los entornos virtuales de aprendizaje son el medio utilizado, por profesores, estudiantes e instituciones, para el manejo y la distribución de experiencias educativas. Sin embargo, tal y como están diseñados estos sistemas, hacen que los estudiantes tengan dificultades para desplegar sus habilidades metacognitivas, además de provocar una sobrecarga cognitiva debido a una mala organización de los contenidos y de la navegación. Es necesario, por tanto, incluir en las plataformas de aprendizaje un mecanismo que permita la adaptación de estos sistemas a las características, necesidades y contexto del estudiante con el objetivo de optimizar el proceso de enseñanza-aprendizaje. En este trabajo se describe un modelo de adaptación para Learning Management Systems (LMSs) que utilizando variables centrales en el proceso de aprendizaje permite aplicar reglas adaptativas a los distintos tipos de contenidos y conocimientos que se han de transmitir o adquirir. A nivel aplicado, el modelo obtenido permite desarrollar cursos adaptados que dan soporte y promueven el aprendizaje y la autorregulación dentro de los entornos de aprendizaje virtuales

The use of the Internet has been progressively integrated into our daily lives. This has also been true for all levels of education, where virtual learning environments have been the means by which teachers, students and educational institutions managed and distributed educational experiences. However, the present design of these systems make students have difficulties in deploying their meta-cognitive skills, in addition to producing a cognitive overload due to an inadequate content organization and navigation. Thus, it is necessary to provide learning platforms with a process that allows for the adaptation of these systems to students’ characteristics, needs and context in order to enhance the teaching-learning process. This paper describes an adaptive model for Learning Management Systems (LMSs) that using variables central to the learning process allows for the application of adaptive rules to the different types of contents and knowledge to be transferred and acquired. In practice, the resulting model allows to develop adaptive courses that support and promote learning and self-regulation in virtual learning environments

Implementation of training programs in self-regulated learning strategies in Moodle format: results of a experience in higher education.

This paper tests the efficacy of an intervention program in virtual format intended to train studying and self-regulation strategies in university students. The aim of this intervention is to promote a series of strategies which allow students to manage their learning processes in a more proficient and autonomous way. The program has been developed in Moodle format and hosted by the Virtual Campus of the University of Oviedo. The present study had a semi-experimental design, included an experimental group (n=167) and a control one (n=206), and used pretest and posttest measures (self-regulated learning strategies' declarative knowledge, self-regulated learning macro-strategy planning-execution-assessment, self-regulated learning strategies on text, surface and deep learning approaches, and academic achievement). Data suggest that the students enrolled in the training program, comparing with students in the control group, showed a significant improvement in their declarative knowledge, general and on text use of learning strategies, increased their deep approach to learning, decreased their use of a surface approach and, in what concerns to academic achievement, statistically significant differences have been found in favour of the experimental group.

Predicción del uso de estrategias de autorregulación en educación superior / Prediction of use self-regulation strategies in higher education

El objetivo del presente estudio ha sido analizar la capacidad predictiva de diferentes variables motivacionales, comportamentales y socio-educativas sobre el uso de estrategias de autorregulación del aprendizaje. Se ha trabajado con una muestra de 552 alumnos universitarios de primer curso de diferentes titulaciones. Los resultados de los análisis de regresión jerárquica muestran que el uso de estrategias de autorregulación del aprendizaje depende en gran medida de la capacidad percibida para ello, aunque también de otras variables personales como el interés por aprender (y obtener buenos resultados académicos) y la utilidad percibida del uso de dichas estrategias. Además, se ha observado que más que la cantidad de tiempo invertido en el trabajo sobre las tareas académicas, lo verdaderamente relevante es el aprovechamiento del tiempo empleado. No se ha encontrado asociación significativa entre el nivel de estudios de los padres y un comportamiento más o menos autorregulado en el trabajo académico. Los datos obtenidos tienen claras implicaciones tanto para el diseño de procesos instruccionales en el aula, como para el diseño del trabajo requerido en las horas no presenciales de los estudiantes universitarios (AU)

The aim of this study has been to analyze the relevance of different motivational variables, behavioral and socio-educational variables about predicting the use of self-regulated learning strategies. We have worked with a sample of 552 first-year college students from different degrees. The results of the hierarchical regression analysis show that the use of self-regulated learning strategies depends largely on the perceived self-efficacy for the use of these strategies, but also other personal variables such as interest in learning (and also to get good academic results) and perceived usefulness of using such strategies. A relevant fact was that more than the amount of time spent at work on academic tasks, it is the optimization of time spent. No significant association was found between parents´ educational level and a more or less self-regulated behavior on academic work. The data have clear implications not only for the design of instructional processes in the classroom, but also for the design work required in the not-attending hours of university students (AU)