Validation of the Health Protective Sexual Communication Scale Among Young Adults in the United Kingdom and Spain.

Background and Purpose: The transmission of sexual infections is increasing globally. The research aims to validate the Health Protective Sexual Communication Scale (HPSC) in English and Spanish. Methods: The study survey was administered to 1,223 university students from Spain (658) and the United Kingdom (565) during the academic year 2020-2021. Results: Cronbach's alpha values were .80 (Spain) and .86 (United Kingdom). The scale's Exploratory and Confirmatory Factor Analysis displays a one-dimensional structure of eight items in both countries. Conclusions: The HPSC has excellent reliability and validity. Psychometric findings support the use of the HPSC as a screening tool to measure sexual risk in youth.

Perceived satisfaction of university students with the use of chatbots as a tool for self-regulated learning.

Chatbots are a promising resource for giving students feedback and helping them deploy metacognitive strategies in their learning processes. In this study we worked with a sample of 57 university students, 42 undergraduate and 15 Master's degree students in Health Sciences. A mixed research methodology was applied. The quantitative study analysed the influence of the variables educational level (undergraduate vs. master's degree) and level of prior knowledge on the frequency of chatbot use (low vs. average), learning outcomes, and satisfaction with the chatbot's usefulness. In addition, we examined whether the frequency of chatbot use depended on students' metacognitive strategies. The qualitative study analysed the students' suggestions for improvement to the chatbot and the type of questions it used. The results indicated that the level of degree being studied influenced the frequency of chatbot use and learning outcomes, with Master's students exhibiting higher levels of both, but levels of prior knowledge only influenced learning outcomes. Significant differences were also found in students' perceived satisfaction with the use of the chatbot, with Master's students scoring higher, but not with respect to the level of prior knowledge. No conclusive results were found regarding frequency of chatbot use and the levels of students' metacognitive strategies. Further studies are needed to guide this research based on the students' suggestions for improvement.

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques.

Academic leaders all over the world are encouraging the use of active methodologies in teaching, especially in higher education. The reason for this is that social changes are happening at an ever-increasing rate, and they require students and teachers to develop digital skills. This is especially significant for health sciences degrees, in which future graduates must have effective problem-solving skills. To respond to this challenge, the use of a project-based learning (PBL) methodology, together with various monitoring techniques based on the use of Educational Data Mining (EDM) and mixed methods, will provide teachers with information about the effectiveness of the methodology and guide the implementation of personalized educational responses. This study provides a protocol for the application of the PBL methodology in e-Learning and blended-Learning (b-Learning) teaching modalities for health sciences students studying occupational therapy in higher education. In addition, statistical techniques for the analysis of covariance and unsupervised learning allow differences to be detected between the two teaching modalities, thus specifying their effectiveness in terms of a range of variables related to behavioral patterns, performance, and satisfaction. Data visualization also helps in understanding the qualitative aspects of the learning process. These data will help teachers to produce more effective proposals for the implementation of the PBL methodology based on the based on the context of the teaching-learning process. Therefore, this protocol offers many resources and materials to help teachers implement the PBL methodology in e-Learning and b-Learning teaching methods.

A Systematic Review of the Use of T-Pattern and T-String Analysis (TPA) With Theme: An Analysis Using Mixed Methods and Data Mining Techniques.

In recent years, research interest in human and non-human behavioral analysis has increased significantly. One key element in the resulting studies is the use of software that facilitates comparative analysis of behavioral patterns, such as using T-Pattern and T-String analysis -TPA- with THEME. Furthermore, all these studies use mixed methods research. Results from these studies have indicated a certain amount of similarity between the biological, temporal, and spatial patterns of human social interactions and the interactions between the contents of their constituent cells. TPA has become an important, widely-used technique in applied behavioral science research. The objectives of the current review were: (1) To identify the results of research over the last 4 years related to the concepts of T-Pattern, TPA, and THEME, since it is in this period in which more publications on these topics have been detected (2) To examine the key concepts and areas in the selected articles with respect to those concepts, applying data and text mining techniques. The results indicate that, over the last 4 years, 20% of the studies were laboratory focused with non-humans, 18% were in sports environments, 9% were in psychological therapy environments and 9% were in natural human contexts. There were also indications that TPA is beginning to be used in workplace environments, which is a very promising setting for future research in this area.

Improvements for Therapeutic Intervention from the Use of Web Applications and Machine Learning Techniques in Different Affectations in Children Aged 0-6 Years.

Technological advances together with machine learning techniques give health science disciplines tools that can improve the accuracy of evaluation and diagnosis. The objectives of this study were: (1) to design a web application based on cloud technology (eEarlyCare-T) for creating personalized therapeutic intervention programs for children aged 0-6 years old; (2) to carry out a pilot study to test the usability of the eEarlyCare-T application in therapeutic intervention programs. We performed a pilot study with 23 children aged between 3 and 6 years old who presented a variety of developmental problems. In the data analysis, we used machine learning techniques of supervised learning (prediction) and unsupervised learning (clustering). Three clusters were found in terms of functional development in the 11 areas of development. Based on these groupings, various personalized therapeutic intervention plans were designed. The variable with most predictive value for functional development was the users' developmental age (predicted 75% of the development in the various areas). The use of web applications together with machine learning techniques facilitates the analysis of functional development in young children and the proposal of personalized intervention programs.

Teacher Training Effectiveness in Self-Regulation in Virtual Environments.

Higher education in the 21st century faces the challenge of changing the way in which knowledge is conveyed and how teachers and students interact in the teaching-learning process. The current pandemic caused by SARS-CoV-2 has hastened the need to face up to this challenge and has furthered the need to approach the issue from the perspective of digitalisation. To achieve this, it is necessary to design training programmes geared towards teaching staff and which address both the use of technology and instructional design aimed at promoting the development of self-regulated learning (SRL) and automatic feedback systems. In this study, work was carried out with 23 teachers (8 inexperienced and 15 experienced teachers) in a training programme conducted through Moodle. The aims were: (1) to test whether there were any significant differences between the behaviour patterns of new teachers compared to experienced teachers, (2) to determine whether clusters of behaviour patterns corresponded to the type of teacher and (3) to ascertain whether the level of teacher satisfaction with the training activity in digital teaching will depend on the type of teacher. A quantitative as well as a qualitative design was applied. Differences were found in the behaviour patterns in the training activities for the development of rubrics and use of learning analytics systems in virtual learning environments. It was also found that the type of teacher did not correspond exactly to the behaviour cluster in the learning platform. In addition, no significant differences were found in the level of satisfaction between the two kinds of teacher. The main contribution this study makes is to provide a detailed description of the training stage as well as the materials required for its repetition. Further analytical studies are required on teacher perception of training programmes in digital teaching in order to provide personalised training proposals that lead to an effective use of teaching in digital environments.

Usefulness of Digital Game-Based Learning in Nursing and Occupational Therapy Degrees: A Comparative Study at the University of Burgos.

Teaching in higher education in the 21st century is moving towards e-Learning or b-Learning teaching models. This situation has increased due to the SARS CoV-2 health crisis. Therefore, teaching-learning models must be based on the use of active methodologies that facilitate students' motivation to work in learning management systems (LMS). One of the most current resources is the digital game-based learning (DGBL) use, specifically in health sciences degrees (e.g., nursing). In this study, we worked with 225 third-year students of degrees in nursing (ND) and occupational therapy (OTD). The objectives were (1) to find out if there were significant differences between students who had worked with DGBL techniques vs. those who had not, and (2) to find out if there were significant differences depending on the type of degree (ND vs. OTD) regarding access to the LMS, learning outcomes and students' satisfaction with teachers' performance. A mixed-method research approach was applied. In the quantitative study, significant differences were found in the accesses to the LMS in favor of the groups that had worked with DGBL techniques. Significant differences were also found in ND students with respect to learning outcomes in the group that worked with DGBL. Regarding the results of the qualitative study, differences were found in the frequency of interaction and in the preference of DGBL activities depending on the type of degree. Further studies will investigate the possible causes of these differences.

Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques.

Monitoring students in Learning Management Systems (LMS) throughout the teaching-learning process has been shown to be a very effective technique for detecting students at risk. Likewise, the teaching style in the LMS conditions, the type of student behaviours on the platform and the learning outcomes. The main objective of this study was to test the effectiveness of three teaching modalities (all using Online Project-based Learning -OPBL- and Flipped Classroom experiences and differing in the use of virtual laboratories and Intelligent Personal Assistant -IPA-) on Moodle behaviour and student performance taking into account the covariate "collaborative group". Both quantitative and qualitative research methods were used. With regard to the quantitative analysis, differences were found in student behaviour in Moodle and in learning outcomes, with respect to teaching modalities that included virtual laboratories. Similarly, the qualitative study also analysed the behaviour patterns found in each collaborative group in the three teaching modalities studied. The results indicate that the collaborative group homogenises the learning outcomes, but not the behaviour pattern of each member. Future research will address the analysis of collaborative behaviour in LMSs according to different variables (motivation and metacognitive strategies in students, number of members, interactions between students and teacher in the LMS, etc.).

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes.

Behavioral analysis of adults engaged in learning tasks is a major challenge in the field of adult education. Nowadays, in a world of continuous technological changes and scientific advances, there is a need for life-long learning and education within both formal and non-formal educational environments. In response to this challenge, the use of eye-tracking technology and data-mining techniques, respectively, for supervised (mainly prediction) and unsupervised (specifically cluster analysis) learning, provide methods for the detection of forms of learning among users and/or the classification of their learning styles. In this study, a protocol is proposed for the study of learning styles among adults with and without previous knowledge at different ages (18 to 69-year-old) and at different points throughout the learning process (start and end). Statistical analysis-of-variance techniques mean that differences may be detected between the participants by type of learner and previous knowledge of the task. Likewise, the use of unsupervised learning clustering techniques throws light on similar forms of learning among the participants across different groups. All these data will facilitate personalized proposals from the teacher for the presentation of each task at different points in the chain of information processing. It will likewise be easier for the teacher to adapt teaching materials to the learning needs of each student or group of students with similar characteristics.

Effectiveness of Self-Regulation and Serious Games for Learning STEM Knowledge in Primary Education / Efectividad de la Autorregulación y los Serious Games Para el Aprendizaje de Conocimientos STEM en Educación Primaria

BACKGROUND: The learning of scientific and technological subjects is fundamental in the society of the 21st century. However, a gender gap is detected in the choice of degrees in these subjects. Recent studies indicate the need to take action from the primary education stage to increase student motivation towards these disciplines. METHODS: We worked with a sample of 147 students in the final years of Primary Education. SRL and serious games were applied in initial tasks to computer programming. The objectives were to study the influence of gender, environment and academic level variables on the results in the resolution of initial programming tasks and on student satisfaction with their completion. RESULTS: The mean level of results in these tasks was high (8 out of 10). However, significant differences were found for gender, academic level, and the covariate age. With respect to satisfaction, no significant differences were found except in the continuity of work. CONCLUSIONS: The use of SRL and serious play tasks promotes good levels of performance and satisfaction in all students, although differences in favour of the male gender are detected

ANTECEDENTES: el aprendizaje de materias científico-tecnológicas es fundamental en la sociedad del s. XXI. Si bien, se detecta una brecha de género en la elección de titulaciones en estas materias. Estudios recientes indican la necesidad de realizar acciones desde la etapa de Educación Primaria para aumentar la motivación de los estudiantes hacia estas disciplinas. MÉTODO: se trabajó con una muestra de 147 estudiantes de los últimos cursos de Educación Primaria. Se aplicó SRL y serious games en tareas de inicio a la programación informática. Los objetivos fueron estudiar la influencia de las variables género, entorno y nivel académico sobre los resultados en la resolución de tareas de inicio a la programación y en la satisfacción de los estudiantes con su realización. RESULTADOS: el nivel medio de resultados en estas tareas fue alto (8 sobre 10). Sin embargo, se hallaron diferencias significativas respecto de las variables género, nivel académico y efectos de la covariable edad. Relativo de la satisfacción no se hallaron diferencias significativas salvo en la continuidad de trabajo. CONCLUSIONES: la utilización de SRL y de tareas de juego serios potencia buenos niveles de rendimiento y de satisfacción en todos los estudiantes, aunque se detectan diferencias a favor del género masculino

Effectiveness of Using Voice Assistants in Learning: A Study at the Time of COVID-19.

The use of advanced learning technologies in a learning management system (LMS) can greatly assist learning processes, especially when used in university environments, as they promote the development of Self-Regulated learning, which increases academic performance and student satisfaction towards personal learning. One of the most innovative resources that an LMS may have is an Intelligent Personal Assistant (IPA). We worked with a sample of 109 third-grade students following Health Sciences degrees. The aims were: (1) to verify whether there will be significant differences in student access to the LMS, depending on use versus non-use of an IPA. (2) To verify whether there will be significant differences in student learning outcomes depending on use versus non-use of an IPA. (3) To verify whether there will be significant differences for student satisfaction with teaching during the COVID-19 pandemic, depending on use versus non-use of an IPA. (4) To analyze student perceptions of the usefulness of an IPA in the LMS. We found greater functionality in access to the LMS and satisfaction with teaching, especially during the health crisis, in the group of students who had used an IPA. However, both the expansion of available information and the usability of the features embedded in an IPA are still challenging issues.

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools.

The analysis of functional abilities and their development in early childhood (0-6 years old) are fundamental aspects among young children with certain types of developmental difficulties that can facilitate prevention, through programmed interventions adapted to the needs of each user (student or patient). There are, however, few investigations to date, that have analyzed the use of automated tools for recording and interpreting the results of the initial assessment. Here, a protocol is presented to examine the functional abilities in early childhood in young children, aged between 3-6 years old, with intellectual disabilities, but the protocol can also be used for ages 0 to 6 years. The protocol makes use of a computer application, eEarlyCare, that facilitates the interpretation of the results of systematic observations, which are recorded in natural environments by professionals trained in early intervention. The software can be used to analyze 11 functional areas (Food Autonomy, Personal Care and Hygiene, Dressing and Undressing Independently, Sphincter Control, Functional Mobility, Communication and Language, Daily Life Routines, Adaptive Behavior and Attention) and a total of 114 different behaviors. Its use facilitates the analysis of the observed abilities and greatly assists early intervention. Compared to other observational methods, it allows a more efficient use of personal and material resources. The use of the computer application facilitates the recording of the observation results, which helps with organization and reflection on the observations. The software displays the observation results on-screen compared to normal developmental parameters. This information can be referred to for decision-making about the most suitable intervention program for each user (student or patient). Likewise, clustering techniques are applied to analyze the relation between the type of intellectual disabilities and functional development identified with the software, a relation that is intended to serve as a guide for early-care professional intervention.

Evaluation of Functional Abilities in 0-6 Year Olds: an Analysis with the eEarlyCare Computer Application.

The application of Industry 4.0 to the field of Health Sciences facilitates precise diagnosis and therapy determination. In particular, its effectiveness has been proven in the development of personalized therapeutic intervention programs. The objectives of this study were (1) to develop a computer application that allows the recording of the observational assessment of users aged 0-6 years old with impairment in functional areas and (2) to assess the effectiveness of computer application. We worked with a sample of 22 users with different degrees of cognitive disability at ages 0-6. The eEarlyCare computer application was developed with the aim of allowing the recording of the results of an evaluation of functional abilities and the interpretation of the results by a comparison with "normal development". In addition, the Machine Learning techniques of supervised and unsupervised learning were applied. The most relevant functional areas were predicted. Furthermore, three clusters of functional development were found. These did not always correspond to the disability degree. These data were visualized with distance map techniques. The use of computer applications together with Machine Learning techniques was shown to facilitate accurate diagnosis and therapeutic intervention. Future studies will address research in other user cohorts and expand the functionality of their application to personalized therapeutic programs.

Effectiveness of Blended Learning in Nursing Education.

Currently, teaching in higher education is being heavily developed by learning management systems that record the learning behaviour of both students and teachers. The use of learning management systems that include project-based learning and hypermedia resources increases safer learning, and it is proven to be effective in degrees such as nursing. In this study, we worked with 120 students in the third year of nursing degree. Two types of blended learning were applied (more interaction in learning management systems with hypermedia resources vs. none). Supervised learning techniques were applied: linear regression and k-means clustering. The results indicated that the type of blended learning in use predicted 40.4% of student learning outcomes. It also predicted 71.9% of the effective learning behaviors of students in learning management systems. It therefore appears that blended learning applied in Learning Management System (LMS) with hypermedia resources favors greater achievement of effective learning. Likewise, with this type of Blended Learning (BL) a larger number of students were found to belong to the intermediate cluster, suggesting that this environment strengthens better results in a larger number of students. BL with hypermedia resources and project-based learning increase students´ learning outcomes and interaction in learning management systems. Future research will be aimed at verifying these results in other nursing degree courses.

Observation of Metacognitive Skills in Natural Environments: A Longitudinal Study With Mixed Methods.

Recent studies pointing to evaluation methods in natural environments suggest that their use in the analysis of metacognitive skills provides more precise information than the use of off-line evaluation methods. In this research, mixed methods are used over one academic year for the evaluation of the metacognitive skills that students of Secondary Education apply to solve physics problems. The objectives of this study are to analyze the use of metacognitive skills in natural environments and to study behavioral patterns of student learning through a longitudinal study. A total of 509 recordings of think-aloud protocols are analyzed through the categorization of the responses (liquefying) and the protocol of Van der Stel and Veenman for the analysis of the quality of metacognitive skills. Fewer conceptual errors and less uncertainty over vocabulary were noted during the academic year. Nevertheless, a degree of ambiguity persisted in the understanding of physics concepts. The metacognitive skills of Orientation and Planning were used more than any others. The technique of graph analysis is also applied, to establish the patterns of behavior of each student throughout the academic year. Different patterns were found, the analysis of which helped to identify academically challenged and at-risk students. The use of mixed observation techniques and graph analysis facilitated information on the pace of learning of each student. Future studies will be directed at proposals for the automation of these evaluation techniques in natural learning environments.

Differential efficacy of the resources used in b-learning environments / Eficacia diferencial de los recursos empleados en entornos b-learning

Background: Learning is increasingly frequent in B-Learning spaces. It is therefore necessary to study the characteristics that guarantee deeper and more successful learning in these learning environments. Method: We work with sample of 233 university students using the Moodle 3.1 platform in the third year of their degrees in Health Sciences. The effectiveness of four types of B-Learning on Learning Results (LR), behaviors on the platform, and student satisfaction are all studied. Prior knowledge is also used as a covariable. Results: It was found that the B-Learning environment in which the students obtained better general Outcomes Learning Results (LR) and a higher degree of satisfaction was the one that included the use of infographics and virtual laboratories based on Self-Regulated Learning (SRL). Conclusions: The design of B-Learning environments together with the use of SRL, is a factor that enhances effective learning and increases student satisfaction, especially if they include infographics and virtual laboratories. In addition, the use of these resources implements better overall LR on a larger number of students. Likewise, it promotes more homogeneous groups in the general LO. Future investigations will be aimed at verifying these results in other knowledge branches

Antecedentes: es cada vez más frecuente que el aprendizaje se realice en espacios B-Learning. Por ello, es preciso estudiar cuáles son las características que garantizan en estos entornos aprendizajes más profundos y exitosos. Método: se trabajó en la plataforma Moodle 3.1 con una muestra 233 estudiantes universitarios de tercero de grado en la rama de Ciencias de la Salud. Se estudió la efectividad de cuatro tipos de B-Learning sobre los Resultados de Aprendizaje (RA), las conductas de aprendizaje y la satisfacción de los estudiantes. Asimismo, se utilizó como covariable los conocimientos previos. Resultados: se halló que el entorno B-Learning en el que los estudiantes obtuvieron mejores RA generales y mayor grado de satisfacción fue el que incluía el uso de infografías y de laboratorios virtuales basados en aprendizaje autorregulado (SRL). Conclusiones: el diseño de entornos B-Learning, junto con la utilización de SRL, es un factor que potencia aprendizajes eficaces e incrementa la satisfacción de los estudiantes, especialmente si incluyen infografías y laboratorios virtuales. Además, el uso de estos recursos implementa mejores RA generales en un mayor número de estudiantes. Futuras investigaciones irán dirigidas a comprobar estos resultados en otras ramas de conocimiento

Does the Use of Learning Management Systems With Hypermedia Mean Improved Student Learning Outcomes?

Learning management systems (LMSs) that incorporate hypermedia Smart Tutoring Systems and personalized student feedback can increase self-regulated learning (SRL), motivation, and effective learning. These systems are studied with the following aims: (1) to verify whether the use of LMS with hypermedia Smart Tutoring Systems improves student learning outcomes; (2) to verify whether the learning outcomes will be grouped into performance clusters (Satisfactory, Good, and Excellent); and (3) to verify whether those clusters will group together the different learning outcomes assessed in four different evaluation procedures. Use of the LMS with hypermedia Smart Tutoring Systems was studied among students of Health Sciences, all of whom had similar test results in the use of metacognitive skills. It explained 38% of the variance in student learning outcomes in the evaluation procedures. Likewise, three clusters that grouped the learning outcomes in relation to the variable 'Use of an LMS with hypermedia Smart Tutoring Systems vs. No use' explained 60.4% of the variance. Each cluster grouped the learning outcomes in the different evaluation procedures. In conclusion, LMS with hypermedia Smart Tutoring Systems in Moodle increased the effectiveness of student learning outcomes, above all in the individual quiz-type tests. It also facilitated personalized learning and respect for the individual pace of student-learning. Hence, modules for the analysis of supervised, unsupervised and multivariate learning should be incorporated into the Moodle platform to provide teaching tools that will undoubtedly contribute to improvements in student learning outcomes. HIGHLIGHTS -Learning management systems (LMS) that incorporate hypermedia Smart Tutoring Systems and personalized student feedback can increase self-regulated learning (SRL).-Learning management systems with hypermedia Smart Tutoring Systems increased the effectiveness of student learning outcome.-The use of an LMS with hypermedia Smart Tutoring Systems vs. No use' explained 60.4% of the variance in student learning outcome.

Metacognitive Precursors: An Analysis in Children with Different Disabilities.

The analysis of Metacognitive skills is a key element to guide the learning process. Current research has shown the initiation of these skills from an early age. The present study had two aims: (1) to validate a Scale Measuring Precursor Metacognitive Skills (SMPMS) in children with diverse disabilities, and (2) to study possible significant different between different disabilities in precursor metacognitive skill use. We worked with 87 children with different disabilities, with an average age range of 24-37 months. The results have shown high indicators of reliability and validity of the SMPMS. We isolated two factors related to cognitive and metacognitive and self-regulation skills response to an adult. We also found significant differences in the acquisition of metacognitive and self-regulation skills among children with global developmental retardation as compared to children with expressive language and comprehension disability.

How Do B-Learning and Learning Patterns Influence Learning Outcomes?

Learning Management System (LMS) platforms provide a wealth of information on the learning patterns of students. Learning Analytics (LA) techniques permit the analysis of the logs or records of the activities of both students and teachers on the on-line platform. The learning patterns differ depending on the type of Blended Learning (B-Learning). In this study, we analyse: (1) whether significant differences exist between the learning outcomes of students and their learning patterns on the platform, depending on the type of B-Learning [Replacement blend (RB) vs. Supplemental blend (SB)]; (2) whether a relation exists between the metacognitive and the motivational strategies (MS) of students, their learning outcomes and their learning patterns on the platform. The 87,065 log records of 129 students (69 in RB and 60 in SB) in the Moodle 3.1 platform were analyzed. The results revealed different learning patterns between students depending on the type of B-Learning (RB vs. SB). We have found that the degree of blend, RB vs. SB, seems to condition student behavior on the platform. Learning patterns in RB environments can predict student learning outcomes. Additionally, in RB environments there is a relationship between the learning patterns and the metacognitive and (MS) of the students.

Aprendizaje de habilidades de autorregulación en niños de 5 a 7 años / Self-regulation skills learning in children aged 5 to 7

La autorregulación es un componente de la metacognición que se relaciona con el aprendizaje eficaz. Esto puede ser especialmente relevante en entornos de desventaja social. Por ello, los objetivos de este trabajo son: (a) comprobar si la enseñanza de estrategias de autorregulación a niños pequeños con desventaja social, mejora sus habilidades de resolución de tareas; (b) evaluar la eficacia de un programa de enseñanza de estrategias de autorregulación, desde la perspectiva del profesorado. Se trabajó con una muestra de 43 sujetos con edades comprendidas entre 5 y 7 años. Los resultados indican que existen mejoras significativas, antes-después de la aplicación del programa, en habilidades: atencionales, de planificación manifiesta guiada y autónoma, de planificación encubierta y de autoevaluación en la resolución de problemas cognitivos y sociales. Paralelamente, el profesorado considera que el programa ha mejorado, en sus alumn os: los niveles atencionales y la generalización de las estrategias a otras actividades curriculares. En consecuencia, se considera, al programa de enseñanza en estrategias de autorregulación, una herramienta efectiva y motivadora para la docencia en entor nos de compensación educativa (niños pequeños en desventaja social).

Self-regulation is a component of metacognition that is related to effective learning. This may be especially relevant in social disadvantaged environments. The objectives of this work are: (a) To check whether the teaching of self-regulation strategies to young children with social disadvantage, improves their problem solving skills; (b) To evaluate the effectiveness of a self-regulation strategies teaching program from the teachers' perspective. For this purpose, a sample of 43 subjects aged between 5 and 7 was used. The results indicate that there are significant differences in skills involving attention, guided and autonomous state planning, covert planning and self-evaluation in cognitive and social problem-solving. Similarly, teachers consider that the program improved attention levels and generalization of strategies towards other curricular activities in their pupils. Consequently, the self-regulation strategies teaching program is considered as an effective and motivating tool for teaching in compensatory education environments (socially disadvantaged children).