مطالب

This research aimed to study the relationship between learning styles among two groups of electronic and traditional students in PAYAM NOOR University and its relationship with the satisfaction. The research method was descriptive and co relational research. The study population included all male and female master students of electronic (virtual) (N=1400) and traditional (N=1600) courses of PNU in 1395-1396.Using Cochran formula, the estimated sample size of students for traditional and electronic courses were equal to 310 and 302 respectively (totaled 612). The sample size was selected by stratified random sampling method with proportional assignment. In order to collect data, Kolb (1999) learning styles questionnaire and Bahrani and Jokar (1378) critical student satisfaction questionnaire were used. For both, traditional and electronic groups, between learning styles (convergent, divergent, assimilator and accommodator) and satisfaction, there was a significant relationship. The results showed that in the traditional course converging, diverging, assimilator and accommodator styles have the highest relationship with the academic satisfaction. In electronic courses, divergent, assimilator, and convergent styles have the most relation to academic satisfaction. The study of the status of learning styles in the electronic group showed that the convergent learning style with (14.57%), has the least frequency, divergent with (30.79%) has the highest frequency, the assimilator style has (28.14%) and the accommodator has (26.49%) frequency. Regarding the status of learning styles in the traditional group, convergent and accommodator style have the least frequency and the assimilator learning style has the most frequency. In terms of quality assessment, most students were not satisfied with the traditional courses and in contrast, the electronic group had more academic satisfaction.  

Abstract Objective: Health literacy is the capacity to get, process and realize basic information and services necessary to make proper decisions in the field of health. This study was conducted aimed at determining the relationship between health literacy and demographic variables of Yazd city citizens. Method: This study was a descriptive (cross-sectional) one the population included 385 people living in Yazd city. Data were collected using a researcher-made questionnaire whose validity and reliability were confirmed. After completing the questionnaires, the data analysis was performed using SPSS statistical software, Pearson correlation coefficient and Chi-square test. Results: the results indicate that there is a significant relationship between health literacy and age, gender and marital status. The highest correlation coefficient was observed in the relationship between health literacy and age. Conclusion: Due to the effective demographic variables, it seems that demographic characteristics-based interventions should be designed and implemented in order to improve the health literacy of citizens.

We used the affective profiles model to investigate individual differences in motivation, stress and energy. The aim was to replicate past findings, but we also focused on matched comparisons within individuals with affective profiles that are similar in one affective dimension and differ in the other in order to predict changes when individuals increase/decrease their experience of positive or negative affect. Methods: <span class="fontstyle2">A total of 567 participants answered the Positive Affect and Negative Affect Schedule, which was used for affective profiling; the Situational Motivation Scale, which measures intrinsic motivation, identified regulation, external regulation, and amotivation; and the Stress-Energy questionnaire. Results: <span class="fontstyle2">Comparisons between the four different profiles, replicating the past findings, showed that individuals with high affective and self-fulfilling profile scored highest in intrinsic motivation, identified regulation, and energy, while they scored lowest in external motivation, amotivation, and the self-fulfilling profile, also lowest in stress. Additionally, the matched comparisons showed, for example, that levels of intrinsic motivation increase when negative affect levels decrease, and positive affect is kept high when positive affect decreases and negative affect is kept low. Conclusions: One important feature of the affective profiles model is the possibility to compare individuals that are similar in one affect dimension but differ in the other (Garcia, 2011, 2017). This way of discussing individual differences helps to predict what changes could be expected when individuals increase or decrease their experience of positive or negative affect. Importantly, the direction of these changes cannot be addressed from cross-sectional data