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The purpose of this research was to determine the effect of emotional self-regulation training on assertiveness skills and motivational beliefs in students.The research method was a semi-experimental pre-test-post-test type with a control group.From the statistical population, which included all sixth grade female students of Mirjaveh in the academic year of 1997-1998, using the purposeful sampling method, 40 people were randomly replaced in two experiment and control groups.The tools used were Gambrill and Ritchie's Daring Questionnaire (1975) and Motivational Strategies for Learning Questionnaire (1990).Covariance analysis method was also used to analyze the data. The results of the research showed that emotional self-regulation training was effective on students' assertiveness skills and motivational beliefs (p<0.01). Also, the effect of emotional self-regulation training on the components of motivational beliefs such as increasing self-efficacy and reducing exam's anxiety has also been positive and significant (p<0.01). But the results of the effect of emotional self-regulation training on internal valuation were not significant (p<0.05).Considering the negative consequences of weak motivational beliefs and assertiveness skills in students; Therefore, in order to strengthen these variables, it is suggested that emotional self-regulation be taught to students by teachers and education planners in the form of class discussions or empowerment workshops.

The study aimed to identify the Requirements for Developing Leaders’ AI Competencies. This systematic literature review, spanning from January 2017 to March 2025, analyzes 26 articles retrieved from Google Scholar, Sage, Emerald, Springer, ScienceDirect, and PubMed. Building from the systematic review, the findings were synthesized and integrated to derive a clear and parsimonious AI competency requirements framework for leaders. To this end, the PRISMA framework was applied to establish a high-quality and transparent process. Naeem et al.'s (2023) thematic analysis framework was employed to analyze and interpret the findings from the included studies. The reliability of the final results was assessed using Cohen's Kappa method. This coefficient was found to be 0.73, indicating a high level of agreement between the coders. The findings elucidate the essential requirements for cultivating artificial intelligence competencies among leaders through three primary dimensions: organizational, technological, and individual requirements. This research contributes to the existing literature by identifying and categorizing the effective requirements for developing leaders’ AI competencies in the era of AI.

mathematical resilience and academic achievement in mathematics among students in the humanities. The study employed a descriptive correlational design. A total of 282 eleventh and twelfth-grade students in the humanities (138 girls and 144 boys) from Tehran were selected using convenience sampling. Participants completed the Asher and Pajares Mathematical Self-Efficacy Scale, the Kooken et al. Mathematical Resilience Scale, and their mathematics academic achievement was assessed based on the average of their previous final grades. Structural equation modeling was used for data analysis. The results revealed that mathematical resilience and mathematical self-efficacy have a direct impact on the academic achievement in mathematics among students in the humanities. Furthermore, data analysis results indicated a significant relationship between mathematical resilience and academic achievement in mathematics among students in the humanities, mediated by mathematical self-efficacy. Therefore, mathematical resilience and mathematical self-efficacy play crucial roles in the academic advancement of students in the humanities, and incorporating these components into mathematics education can be effective in enhancing the academic achievement in mathematics among students in the humanities.

This study examined the effects of peer and teacher technology-enhanced scaffolding through process approach on Iranian EFL learners’ collocational knowledge with regard to impulsivity and reflectivity. The participants included 132 EFL learners at the intermediate level selected from an initial number of 204 learners based on their scores on Preliminary English Test (PET). The 132 learners were divided into three groups and given a collocation pretest and the reflectivity/impulsivity questionnaire. The three groups of the study were the peer scaffolding (N=48), the teacher scaffolding (N=43), and the control group (N=41). In each of the three groups, there were both reflective and impulsive learners. The first experimental group received peer scaffolding via Telegram while the second experimental group was exposed to teacher scaffolding. As for the control group, no teacher or peer scaffolding was provided and the learners were taught collocations in a conventional way. After the treatment, the posttest of collocations was given to the three groups. The results revealed that both peer and teacher scaffolding significantly affected collocation learning. However, there was no significant difference between peer and teacher scaffolding in terms of their effects on collocation learning. The results also indicated that the main effect of treatment on collocation learning was significant; however, there was not a statistically significant interaction between peer and teacher scaffolding through the process approach in a technology-enhanced environment and reflectivity vs. impulsivity on EFL learners’ collocation learning. Based on the results, EFL teachers can employ both peer and teacher scaffolding in a technology-enhanced environment to improve EFL learners’ collocational knowledge irrespective of learners’ impulsivity and reflectivity.

This research was conducted with the aim of examining the role of emotional intelligence, resilience, and perceived social support in predicting academic adjustment of students. The research method was descriptive-correlational. The statistical population included 555 students from the Faculty of Educational Sciences and Psychology at Birjand University in the academic year 2022-2023, of which 237 were selected using stratified random sampling method. The research instruments included the Academic Adjustment Questionnaire by Baker and Siryk (1984), Emotional Intelligence Questionnaire by Schutte (1995), Resilience Questionnaire by Connor and Davidson (2003), and Perceived Social Support Questionnaire by Zimet et al. (1988). Data were analyzed using Pearson correlation coefficient and stepwise multiple regression. Pearson correlation results showed that the strongest relationship existed between resilience and academic adjustment (r=0.63). Additionally, significant relationships were found between emotional intelligence (r=0.49) and social support (r=0.31) with academic adjustment. Regression analysis showed that the three variables together explained 75% of the variance in academic adjustment. Resilience alone predicted 39%, together with emotional intelligence 62%, and with the addition of social support 75% of the changes in academic adjustment. The findings highlight the importance of developing these skills in improving students' academic adjustment.

The present research was conducted with the aim of measuring the effectiveness of face to face and virtual in-service training of elementary school teachers in Birjand city based on the Kirkpatrick model and comparing them. The current research method is a quasi-experimental pre-test-post-test type. The statistical population of this research includes all primary school teachers of Birjand city who have participated in in-service and virtual courses in the academic year 2023-2024. Using available sampling, 45 teachers participating in face-to-face courses and 45 teachers participating in virtual courses were selected. In the first level, i.e. reaction, participants' opinions were collected in two stages (the beginning of the courses and the end of the courses). The tool used at this level was a researcher-made questionnaire. The second level, i.e. learning, was conducted using a researcher-made test of 19 questions and was performed as a pre-test and post-test. In the third level, i.e. behavior, data was collected 5 months after the end of the courses using the teachers' self-evaluation form and the teachers' evaluation form by their managers. The results of the inter-subject effects test to compare the reaction level components in the post-test stage and the f value obtained for all components are significant at the alpha level of 0.05. The F value obtained in the results of covariance analysis for comparing learning scores in the post-test stage is 26.563. The value of the t statistic and the value of the significance level for comparing the scores of the behavior level show that there is no difference in the variance between the two groups of face-to-face and virtual education The findings of the research show that face-to-face and virtual in-service courses are effective in the levels of reaction, learning and behavior, and there is a significant difference between the effectiveness of face-to-face and virtual courses; So that the obtained averages show that face-to-face training can have a significant effect compared to virtual training in these three levels.