Self-Efficacy and Critical Thinking as the Predictors of Autonomous Language Learning in EFL Contexts

The thrust of the present study was to systematically investigate the relationship between EFL learners' Self-Efficacy (SE), Critical Thinking (CT), and their Autonomy (AU). To this end, 196 male and female EFL learners, within the age range of 20 to 30 (Mage= 25) were selected based on convenience sampling strategy. They were asked to fill in three questionnaires, namely Sherer, Maddux, Mercadante, Prentice-Dunn, Jacobs, and Rogers' SE Scale (1982), Honey's CT questionnaire (2000), and Zhang and Li's Learner AU questionnaire (2004). Since the assumptions of normality of distribution were violated for the scores of AU and SE, in order to find out the relationships among the variables, the non-parametric Spearman Rank Order Coefficient of Correlation was conducted. The results revealed that there was a significant and positive correlation between AU and CT, AU and SE, and CT and SE. Furthermore, a regression analysis revealed that SE has the largest β coefficient (β = 0.519, t = 7.65, p = 0.0005). This is to say that SE makes the strongest statistically significant unique contribution to explaining AU. CT turned out to be the second significant predictor of AU scores (β = 0.186, t = 2.75, p = 0.007). The study concludes with a discussion on the obtained results followed by presenting some implications for EFL teachers, learners, and syllabus designers

Self-Efficacy and Critical Thinking as the Predictors of Autonomous Language Learning in EFL Contexts

The thrust of the present study was to systematically investigate the relationship between EFL learners' Self-Efficacy (SE), Critical Thinking (CT), and their Autonomy (AU). To this end, 196 male and female EFL learners, within the age range of 20 to 30 (Mage= 25) were selected based on convenience sampling strategy. They were asked to fill in three questionnaires, namely Sherer, Maddux, Mercadante, Prentice-Dunn, Jacobs, and Rogers' SE Scale (1982), Honey's CT questionnaire (2000), and Zhang and Li's Learner AU questionnaire (2004). Since the assumptions of normality of distribution were violated for the scores of AU and SE, in order to find out the relationships among the variables, the non-parametric Spearman Rank Order Coefficient of Correlation was conducted. The results revealed that there was a significant and positive correlation between AU and CT, AU and SE, and CT and SE. Furthermore, a regression analysis revealed that SE has the largest β coefficient (β = 0.519, t = 7.65, p = 0.0005). This is to say that SE makes the strongest statistically significant unique contribution to explaining AU. CT turned out to be the second significant predictor of AU scores (β = 0.186, t = 2.75, p = 0.007). The study concludes with a discussion on the obtained results followed by presenting some implications for EFL teachers, learners, and syllabus designers

Obese women with polycystic ovary syndrome and Pregnancy: a case report and a literature review

Many women with polycystic ovary (PCO) are obese. These women have lower clinical pregnancy rates when compared with their lighter counterparts. We hereby present a case of an obese PCOs woman, who referred to our clinic, underwent a microinjection, and failed in pregnancy. Then, she was recommended to have a change of lifestyle and lose weight along taking insulin-sensitizer medicines. In the following 6 months, she lost 19 Kilograms and referred to us with a spontaneous pregnancy. The object of this report was to determine the role of insulin intolerance medicines and lifestyle improvement on enhancing the rate of pregnancy in the PCOs obese women