Students´ Engagement In Schools: Differentiation and Promotion

The objective of this work is to present elements of the project Student engagement in Schools (SES). The team consists of 10 researchers from six Universities. Student engagement in schools is a multidimensional construct that unites affective, behavioural, and cognitive dimensions of student adaptation in the school and has influence on students‘outcomes. The team of researchers conceptualized two major studies, a differential study to analyze the relations between SES and contextual factors, personal factors, student’s outcomes, and a quasi-experimental study to analyze the effects on SES of a specific intervention programmes. In study 1, the sample size is around 600 students (150 6th graders, 150 7th graders, 150 9th graders, and 150 10th graders). We shall focus on years of school transition, with rural and urban populations, on different regions of the country, and on students with different family background. We shall conduct questionnaires with national and international scales. The study 2 will involve students in 7th and 9th grade, from four classes, two of the experimental group and two of the control group. Patterns of verbal communications between a teacher and students can influence the classroom environment and SES. This model of communication would result in more effective student management and more time on-task for learning.

Traços desadaptativos da personalidade, sintomas depressivos e afectividade positiva e negativa: Uma amostra com estudantes universitários

Pretendemos estudar quais os traços desadaptativos de personalidade que se relacionam com os sintomas depressivos, a afectividade positiva e negativa, numa amostra de 187 estudantes universitários, entre os 18 e os 43 anos. Calculámos as correlações entre as escalas de padrões de personalidade e as escalas de padrões graves de personalidade do Inventário Multiaxial clínico de Millon II (MCMI-II) com os sintomas depressivos avaliados pela Escala de Depressão do Centro de Estudos Epidemiológicos e com a afectividade positiva e negativa avaliadas pela Escala de Afectividade Positiva e Afectividade Negativa. Realizámos uma análise da regressão múltipla utilizando as escalas de padrões de personalidade do MCMI-II como predictores e o resultado na CES-O, como variável dependente. Obtivemos uma correlação significativa entre os padrões de personalidade borderline, masoquista, esquizotípico, negativista e evitante e paranóide e os sintomas depressivos. A afectividade negativa apresenta-se também positivamente correlacionada com os padrões dependente e esquizóide. A afectividade positiva correlacionou-se significativa e positivamente com os padrões histriónico e narcisista e negativamente com os padrões esquizóide, esquizotípico, negativista, borderline, evitante e masoquista. Na análise de regressão, o padrão borderline prevê a presença de sintomas depressivos e os padrões sádico e dependente também, mas num sentido negativo. /ABSTRACT: We intendend to study wich personality traits relate to depressiva symptoms, and positive and negative affectivity, in a sample of 187 university students, between 18 and 43 years. We did the correlation between the personality patterns scales and the personality patterns of severe personality with the depressive symptoms measured by the Center for Epidemiologic Studies Depression Scale and the positive and negative affectivity measured by the Positive Affect and Negative Affect Shedule. We did a multiple regression analysis using the personality patterns scale of Millon Clinical Multiaxial lnventory (MCMI-II) as predictors and the result of CES-D, as dependent variable. We obtained a significant correlation between the borderline, masochist, schizotypal, negativistic, avoidant and paranoid personality patterns and the depressive symptoms. Negative affectivity relates also positively with dependent and schizoid patterns. Positive affectivity correlated significant and positively with histrionic and narcissistic personality patterns and negatively with schizoid, schizotypal, negativistic, borderline, avoidant and masochist personality patterns. ln the regression analysis, the borderline pattern predicts the presence of depressive symptoms as well as the sadistic and dependent, but in the negative sense.

Particle dynamics and airflow patterns in a ventilated two-zone enclosure

Understanding the transport mechanisms of aerosol particles in enclosures has broad ramifications in the context of cleaning strategies, and health risk assessment (e. g., occupational exposure). This paper addresses airflow pattern and aerosol transport mechanism in a ventilated two-zone enclosure with the outlet (exhaust location) situated at different locations. A numerical approach that combines a Eulerian simulation of turbulent flow with a Lagrangian particle-tracking algorithm is used. Simulations are carried out using solid suspensions with different sizes (1 to 100 micron) and densities (240 and 2300 kg/m3). The effect of location of the outlet (exhaust) on airflow patterns and aerosol dynamics is analyzed and quantified.