Introduction: In the time being, teaching self-regulation to learners is a critical concern which helps them to adapt themselves to changes and unpredictable events easily. Hence, the present study examined the effectiveness of teaching motivational self-regulation strategies in academic self-efficacy with the moderating role of the effects of mastery-oriented and performance-oriented goals among first-level high school students. Method: The present study was a semi-experimental with a pre-test, post-test and a control group. The population consisted of 4752 grade 9 students in Karaj. The self-efficacy was measured among students. Data were then collected and multivariate analysis of covariance was used for data analysis. Results: The results showed that teaching Motivational Self-Regulation Strategies (MSRSs) had a significant positive effect on students' academic self-efficacy (p<0. 05), whereas the effect of teaching mastery-oriented and performance-oriented goals on self-efficacy was insignificant. Conclusion: It can be concluded that teaching MSRSs has a positive effect on the academic self-efficacy of first-year high school students. However, performance-oriented and mastery-oriented goals cannot moderate the effects of teaching MSRSs on self-efficacy.

Objective: This study aims to investigate the mediating role of parental non-involvement in relation to goals of progress with academic dishonesty in students. Methods: This is a correlational study in which the relationships between the variables of the proposed model were investigated using the structural equation modeling method. The statistical population included all female high school students in Semnan City, in the academic year 2020. Using the convenience sampling method, 350 people were selected as the sample. The academic dishonesty questionnaire, goals of progress questionnaire, and family non-involvement questionnaire were used as measurement tools. Correlation coefficients (using the SPSS software) and structural equation modeling analysis (using AMOS statistical software) were employed to investigate the variables of the academic dishonesty prediction model. Results: The findings indicated that the data fit the model, and the results showed that goals of progress had a direct effect on academic dishonesty and family non-involvement. In addition, family non-involvement had a direct effect on academic dishonesty. Finally, goals of progress through the mediating variable had an indirect effect on academic dishonesty. Conclusion: To increase students’,academic honesty, a set of internal, external, individual, and family factors of students should be considered.

Background: Sustainable development goals' (SDGs) analysis can be caused a better understanding of factors contributing to access to health services and help shape policies to attain health goals. This review aimed to measure and compare the SDGs between Iran and selected categories. Methods: This study was a comparative cross-sectional study. We identified indicators of health status based on the SDGs report 2019. The status of SDGs indicators was compared in Iran to four categories, including selected countries with similar social, economic, and health status, six regions of the WHO, the average of each income level group. SPSS 20 and Excel 2019 software were used for descriptive data analysis. Results: The average life expectancy and healthy life expectancy were 75. 7 years and 65. 4 respectively in Iran. Iran's mortality rate in indicators named road traffic (32. 1 per 100000 population), suicide (4. 1 per 100000 population), and unintentional poisoning (1. 2 per 100000 population) were higher than most of the categories. Iran's status in morbidity indicators had an approximately lower rate than all categories. Iran had full coverage in three immunization indicators like DTP3 immunization, MCV2 immunization, and PCV3 immunization, which was higher than all categories. Coverage of UHC in Iran (65%) was near to the global average (64%) and higher than the eastern Mediterranean Region (53%). Moreover, the prevalence of tobacco smoking (10. 95%) and alcohol consumption (1%) were lower than global (6. 4%) and the WHO regions (1. 8%) average. Conclusion: Health status measurement is a trend that requires the collection, processing, analysis, and dissemination of data by a set of indicators. There are several weaknesses in reported data in the SDGs for some indicators, the data collection process should be noticed seriously by policymakers.