سحر محمدی

Purpose : The present research was conducted with the aim of investigating the relationship between problem solving skills with self-efficacy and social adjustment of Kermanshah female students. Methodology : This research in terms of purpose was applied and in terms of implementation method was cross-sectional from type of correlational. The study population was female high school students in Kermanshah city in the 2021-2 academic year with number 4100 people, that the sample size based on Krejcie and Morgan table was estimated 350 people who were selected by cluster method. Data were collected with using the problem solving skills inventory (Hepner and Patterson, 1982), self-efficacy scale (Scherer et al., 1982) and social adjustment subscale in adjustment inventory (Sinha & Singh, 1993) and their face validity was confirmed by experts and their reliability was determined by Cronbach's alpha method were obtained 0/80, 0.82 and 0.87, respectively. To analyze the data were used from the methods of Pearson correlation coefficients and multiple regression with enter model in SPSS software. Finding : The findings showed that problem solving skills and its dimension including problem solving confidence, approach-avoidance style and personal control had a positive and significant correlation with self-efficacy and social adjustment of female students. Also, the findings showed that the dimensions of problem solving skills were able to significantly predict the self-efficacy and social adjustment of female students (P<0.001). Conclusion : The results indicated the effective role of problem solving skills in predicting self-efficacy and social adjustment of female students. Therefore, education system specialists and planners to improve their self-efficacy and social adjustment can promote their problem-solving skills.

Purpose : The study aims to study the effect of architectural design parameters on IEQ in accomplishing school smartification. Method : The research was conducted in school buildings located in Tabriz, Iran. The indicators chosen to represent IEQ are the adaptive PMV model used for thermal comfort, imageless daylight glare probability used for visual comfort, and CO2 concentration used for IAQ assessment. The simulation technique was used to collect data for a generative parametric school model. The method of data analysis includes a multivariate linear regression algorithm, t-test statistic, and one-way analysis of variance. The studied variables are dimensions of classrooms with the fixed area, Percentage of window area on a wall, window height, Shading, and protrusions in plan design. The stepwise method for multivariate linear regression in SPSS was used to assess the vital IEQ indicator in terms of thermal and visual comfort and CO2 concentration. Findings : The study found that among studied indicators, the south facade window ratio significantly correlates with IEQ. The other CRI parameters are the north window ratio and north window height. the findings revealed that to increase the IEQ in schools, facade design is more critical than the plan. The higher the window surface on the south, north, west, and east faces, the greater the thermal comfort and glare probability is. Conclusion : However, increasing the height of the windows can reduce glare and also increase thermal comfort. Thermal comfort improves as the length of the southern classrooms rises. On the bright side, it has no noticeable glare effect.