درخت حوزه‌های تخصصی

The present research was targeted toward examining the relationship between cultural intelligence (CQ), emo-sensory intelligence (ESQ), language learning strategies (LLS), and students’ language achievement (LA). A number of 300 EFL Iraqi students studying at the English Language Department of AL-Qadisiyah University, Iraq was selected through convenience sampling. The participants filled out the cultural intelligence questionnaire, emo-sensory intelligence scale, and the language learning strategy inventory. Students’ final scores were used as a means through which their language achievement could be gauged. The data were analyzed using Pearson Product-Moment Correlation and Structural Equation Modeling (SEM) analysis. The findings indicated a significant relationship between ESQ, CQ, learning strategies, and students’ language achievement. In addition, it was found that CQ and language learners’ strategy could directly predict the language achievement of Iraqi EFL learners. ESQ, could only predict language learners’ achievement through the mediation of language learning strategies.

This study sought to identify the challenges and needs of TOEFL iBT candidates in achieving C1 level scores in the speaking and writing sections of the exam. To this end, the researcher employed a mixed-method approach to collect data from a population of 46 students, both male and female, between the ages of 22 to 30. The participants were enrolled in two TOEFL preparation classes at Universidad Nacional de Educación. The data were collected through a survey, class observations, and TOEFL speaking and writing mock tests, and were subsequently analyzed both qualitatively and quantitatively. The findings indicated that the participants encountered challenges in discussing unfamiliar topics fluently, struggled with producing language at the C1 level while employing a variety of grammar and vocabulary, and demonstrated reduced accuracy due to influences from their first language (L1). To address these challenges, it is recommended to offer a bridging course prior to exam preparation courses wherein the primary focus is devoted to enhancing candidates’ accuracy and communicative competence in discussing unfamiliar topics through corrective feedback. The findings of this study could offer valuable insights to TOEFL iBT test preparation instructors, enabling them to better understand the challenges students face and plan strategies to address these challenges effectively within preparation courses.

Objective: Recent literature emphasizing the importance of income distribution for pollution. The GINI index is the most common indicator for measuring income inequality in previous studies. The new literature has focused on relative redistribution, which is quantified by the GINI coefficientis defined as the difference between the GINI based on market income and GINI based on disposable income. Thus, this study relies on the redistributive effect of taxes and transfers and its impact on carbon dioxide emissions.Methods: The study is conducted using aggregated data from oil-exporting countries including Canada, the United States, the UK, Mexico, the Netherlands, Russia, and China between 2010 and 2020 by using a simultaneous equations system consisting of two equations so that economic growth and pollution emission are as endogenous variables. Elative redistribution, good governance, oil income, trade openness, and CO2 emission are the exogenous variables. Results: Based on model estimates, income inequality, good governance, and oil income have a positive and significant impact on economic growth over the years studied, while inequalities in human development and population growth rates have a negative impact. Economic growth and trade openness also have a negative and significant impact on the spread of pollutionConclusion: Taxes and transfer payments, as redistribution tools can stimulate economic growth. Relative redistribution as a more equitable way can lead to increased economic growth and economic growth reduces carbon dioxide emissions. Therefore, providing an appropriate standard of income inequality can help to better understand and formulate effective policies for income equality.

Industrial development depends on planning and formulation of strategy and systematic policies. The purpose of this research is to analysis phase of conventional strategies in order to progress of Iran’s industry in the international atmosphere. The statistical community of this study is included of experts and academic pundits. To do this at first identification of significant conventional industry’s strategy was determined. six strategies was founded and then was specified, using the criticality of each phase’s approach. According to data analysis, efficiency of technology transfer on industrial progress is more than other elements. On the second rank, domestic and foreign investment’s strategies, development of parent industries, development of infrastructure industries and designing strategy and industrial policies and finally government support strategies has been placed at the lowest level that means third rank. Therefore technology transfer plan was recognized as the most important strategy and specially it should be considered as the strongest strategy for developing industry. The insight that this model offers to managers and decision makers of the country’s industry can help them to plane strategy for developing.

Objective: The stock market and the foreign exchange rate market have been sensitive segments of the financial market. These two markets are rapidly affected by fluctuations and business cycles in the economy and quickly reflect the economic change. At the same time, turmoil in one or both markets raises concerns among market policymakers. We also address the question of whether the national currency can be strengthened through the stock market.Methods: This study examines the stock market price on the value of the national currency of Iran using stock-oriented models and the Markov switching method in the period 1995 to 2021. In this study, the non-linear Markov switching method was used to estimate the model, and the LR- test method was used to check the linearity or non-linearity of the models. Akaike's test has also been used to determine the number of Markov switching regimes.Results: The research results show that for every one percent increase in stock prices, the exchange rate has decreased by 0.21 percent. Therefore, the results indicate the approval of stock-oriented models in the Iranian economy. In other words, the capital market is one of the determinants of the exchange rate.Conclusions: According to this model, lower stock prices reduce the wealth of domestic investors, which leads to lower demand for money with lower interest rates. Lower interest rates cause capital outflows to overseas markets, assuming other conditions remain stable, causing the domestic currency to depreciate and the exchange rate to rise.