School engagement occupies a place of reference in recent educational psychology research owing to its potential to address poor school results and school dropout rates. However, there is a need for a unifying theoretical framework. The study proposed the characterization of school engagement and explored the extent to which different profiles are associated with academic performance and self-regulation. With a sample of 717 5th and 6th year primary school students, this study was carried out via the latent profile analysis (LPA). Two groups of low school engaged students—one characterized by low behavioral engagement (5.02%) and the other by low emotional engagement (6.55%)—were distinguished. The majority of participants showed moderately high (31.95%) or moderate (56.48%) levels of school engagement in its three dimensions. Students with high engagement had the best grades and managed their time and study surroundings better, were the most strategic in seeking information, and showed less maladaptive regulatory behavior. The differences between students exhibiting low behavioral and emotional engagement and those exhibiting moderate levels in these dimensions may center upon the management of contextual resources and management of information and help. This research supports the need to approach the study of school engagement by observing the combination of its emotional, behavioral, and cognitive dimensions.

Background: Confinement due to COVID-19 can have a short‐ and long-term impact on mental health (increased levels of stress and anxiety and emotional upheaval) and on people’s quality of life. Knowing what factors are behind the stress can benefit the development of strategies and resources for future situations of a similar nature. The purpose of this study is to examine the incidence of a series of sociodemographic factors, confinement conditions, and work situation on the stress reported by confined citizens.Method: The sample is made up of 2008 citizens (19.9% men), the Perceived Stress Scale of 14 items (PSS-14) was used to assess the stress level of the population, as well as a sociodemographic questionnaire and different questions aimed at obtain information about the characteristics of the confinement and the employment situation. Data were collected using exponential snowball-type non-probability sampling.Results: The results suggest that sociodemographic factors such as age, gender, and income level could be good predictors of confinement stress. Post-confinement work expectancy along with pre-confinement working conditions can be key to protecting the well-being of confined populations.Limitations: This is a transversal study that forces us to be cautious with causal interpretations. The questionnaire was administered online, which means it excluded a good proportion of the population.Conclusion: The perception of stress being higher in women than men, with the lowest stress in older people and those with higher reported incomes. Stress levels increase as populations spend more weeks in confinement and the pre-confinement work situation seems key to protecting the well-being of the population. A lower stress is observed among stable couples without children confined in residential or suburban areas. Low income or economic instability is associated with a higher rate of stress and anxiety. The results can contribute to prioritizing actions and aid by contributing to the formation of teams and the design of tools for work in the current pandemic situation.

In recent years, there has been particular interest in studying the relationship between student self-regulation and variables such as students’ well-being, satisfaction, and school engagement. Although in other fields such as healthcare, self-regulation in different areas seems to influence individuals’ well-being, this is not so well established in the educational arena. We performed a systematic search of research articles published between 2010 and 2020 which explored the relationships between self-regulation and student well-being. The present article presents a report of a systematic review of 14 research articles. The analysis showed that some executive functions and self-regulation strategies employed in the learning process, and some self-regulatory deficits are significantly associated with different dimensions of student well-being.

En las últimas décadas se han llevado a cabo diferentes estudios que profundizan en las condiciones que explican el compromiso de los individuos con las tareas académicas. Estas investigaciones evidencian la necesidad de combinar factores cognitivos —las capacidades, conocimientos o estrategias— con aspectos de carácter motivacional, como la disposición, la intención o las creencias autorreferidas. En este contexto se sitúa este estudio, que tiene por objeto identificar perfiles motivacionales, en función de la autoeficacia y las metas académicas, y estudiar su relación con el compromiso (esfuerzo y persistencia en la tarea), las emociones (miedo al fracaso y afecto positivo) y con el rendimiento académico (matemáticas y ciencias). La muestra está formada por 7,524 estudiantes (50.9% mujeres) de Educación Secundaria que participaron en la evaluación PISA 2018 (M = 15.84, DT = 0.29). Empleando el Latent Profile Analysis se identificaron cinco perfiles motivacionales. Los perfiles con puntuaciones más adaptativas en autoeficacia y metas de aprendizaje reconocían menor miedo al fracaso, más afecto positivo, esfuerzo/persistencia y obtenían mejor rendimiento académico (científico y matemático). Discutidos a la luz de la teoría motivacional, los resultados de esta investigación evidencian el papel de la orientación a metas y las creencias de autoeficacia en la promoción tanto del compromiso y rendimiento académico como del bienestar emocional del estudiante.

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