مطالب

With the global spread of English as the lingua franca for academic publishing, non-native researchers and university students are constantly facing linguistic barriers including insufficient vocabulary knowledge in writing for publication. This persistent need motivated the development of a good number of corpus-based word lists for frequently used academic and technical words in research articles across disciplines. Nevertheless, despite its importance in corpus-based study of language for word list development, replication research has received far less attention in this line of inquiry. The current study aimed to address this gap and replicated two published studies that investigated the use of academic vocabulary in applied linguistics research articles. To this end, research articles published from 2010 to 2020 in 20 well-known journals in the field were collected, and a corpus with around 48 million words was compiled and analyzed. The findings indicated that academic vocabulary accounted for 11.46% of the corpus, which is similar and close to the reported coverage of the AWL in replicated studies. However, regarding the frequently occurring academic and non-academic content words, the findings showed considerable variation with respect to the results reported earlier. In light of these findings, the study highlighted the importance of replication research to test the reliability of corpus-based vocabulary studies that developed field-specific academic word lists. Finally, the study developed an updated version for applied linguistics academic word list, that might be regarded as a resource and guide for the vocabulary learning component of the relevant EAP programs in the field.

Children need to start learning English from a very young age in this fast globalizing world. The knowledge of the English language can assist in providing several opportunities for them in the future. It is also essential to know how very young children acquire a foreign language and which content and activities should be selected for their age. This study aimed to observe and describe the procedure of the language development of very young children. Researchers employed a descriptive case study design to portray and assess foreign language learning of two three-year-old twins’ grammar acquisition, vocabulary gains, and fluency in the early years of life (3-4/5). Besides the methods firmly associated with qualitative study and case studies, there were four sources of data collection: observation, audio-video recordings, and diary records. The central unit of the twins’ language development analysis was their utterances. The findings supported using a naturalistic environment where very young children could be exposed to the English language informally in everyday contexts and activities. This research can share its findings with education communities and very young children’s teachers to promote a new professional development model for fostering language development in very young learners’ classrooms, assessments, and curricula.

Purpose: Today, the use of cyber social media is increasing dramatically. Therefore, the current research was conducted with the aim of factor analysis of the extreme enthusiasm of the use of cyber social media in athletes and coaches. Methodology: This study in terms of purpose was applied and in terms of implementation method was descriptive-survey. The research population was the athletes and coaches of Tehran city, which the sample size based on Cochran's formula were determined 386 people, but 400 questionnaires were distributed and these numbers were selected by cluster sampling method. The tools of the current research were included a demographic information form and a researcher-made questionnaire of extreme enthusiasm of the use of cyber social media with 24 items, and the data obtained from their implementation were analyzed with the methods of exploratory factor analysis and structural equation modeling in SPSS-22 and LISREL-8.5 software. Findings: The findings showed that the extreme enthusiasm of the use of cyber social media in athletes and coaches had 24 items in 6 components of social interaction, entertainment, internet unemployment, extreme enthusiasm, emotions and belonging in sports; So that the factor loading of all items was higher than 0.50, and the average variance extracted of all components was higher than 0.50 and the Cronbach's alpha of all components was higher than 0.70. Also, the extreme enthusiasm model of the use of cyber social media in athletes and coaches had a good fit, and in this model, the effect of entertainment, social interaction and internet unemployment on extreme enthusiasm, the effect of extreme enthusiasm on belonging in sports and emotions, and the effect of belonging in sports on emotions was meaningful (P<0.05). Conclusion: According to the results of this study, factors such as social interaction, entertainment, internet unemployment, extreme enthusiasm, emotions and belonging in sports had an effective role in the extreme enthusiasm of the use of cyber social media in athletes and coaches.

Purpose: Considering the importance of media literacy and competency development in this field, the present research was conducted with the aim of assessing the suitability and prioritization of the components of the media literacy competency development model of English language teachers. Methodology: This study in terms of purpose was applied and in terms of implementation method was mixed (qualitative and quantitative). The research population in the qualitative part was the experts of Farhangian University and principals of the first and second period schools of Tabriz city, which based on the principle of theoretical saturation number of 15 people were selected as a sample. The research population in the quantitative part was English language teachers of the first and second period schools of Tabriz city, which based on Cochran's formula number of 384 people were selected as a sample. The research tool in the qualitative part was a semi-structured interview, which its data was coded in MAXQDA software, and in the quantitative part was a researcher-made questionnaire, which its data was analyzed by structural equation modeling and weighted matrix in SPSS and SmartPLS software. Findings: The findings showed that the media literacy competency development of English language teachers has 50 sub components in 12 main components, including the media access, production and communication, technology development at the global level, media literacy promotion infrastructure, provision of educational equipment, management of students' entry into the virtual world, lack of possibilities of educational assistance, lack of acceptance of virtual media among teachers, critical thinking training, creating a learning environment and learners' participation in the educational structure, media literacy competency development, establishing educational justice and developing and updating teachers' skills. Also, all the main components had an average variance extracted higher than 0.50 and Cronbach's and combined reliability higher than 0.70, and the media literacy competency development model of English language teachers had a good fit and their effects on each other were significant (P<0.05). In addition, respectively the components of technology development at the global level, establishing educational justice, media literacy competency development, developing and updating teachers' skills, media access, production and communication, lack of acceptance of virtual media among teachers, management of students' entry into the virtual world, creating a learning environment and learners' participation in the educational structure, critical thinking training, media literacy promotion infrastructure, provision of educational equipment and lack of possibilities of educational assistance were of higher importance. Conclusion: According to the identified components for the media literacy competency development and their prioritization can be taken an effective step to media literacy competency development of English language teachers.

Purpose: Education is one of the important factors of economic and social development and the education industry is one of the largest and most tangible industries in the world. Therefore, the aim of this study was to providing a customer value maturity model based on the dynamic capabilities of educational institutions. Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative. In this study number of 15 people after checking the inclusion criteria such as work experience of at least 10 years and at least bachelor's education with using the purposive sampling method were selected from among the experts of non-governmental educational institutions of the senior school in Tehran city. The tool of the current research was a semi-structured interview with selected experts, which its validity was confirmed by the triangulation method and its reliability was calculated by the method of the coefficient of agreement between two coding 0.88. Data were analyzed by content analysis method. Findings: The results of the present study indicated that for the customer value maturity model based on the dynamic capabilities of educational institutions were identified number of 268 open codes in 5 core codes or levels, respectively including the analysis the value proposition of customer, definition and design the value proposition of customer, management and expansion the value proposition of customer, implementation and execution the value proposition of customer and evaluation and optimization the value proposition of customer. Therefore, the educational programs in the customer value maturity model based on the dynamic capabilities of educational institutions were drawn at five levels based on the level of maturity and value. Conclusion: According to the identified codes and levels for the customer value maturity model based on the dynamic capabilities of educational institutions can be taken an effective step in the direction of customer value maturity.

This study examined the correlation between economic growth and the impact on the environment, specifically focusing on the concept of environmental sustainability. The World Bank's Adjusted Net Savings (ANS) data is utilized in this study to gauge the strain on the environment, specifically through the measurement of natural disinvestment. This measurement encompasses the cumulative effects of carbon dioxide (CO2) damage, as well as depletions in minerals, energy, and forest resources. This study uses panel data with respect to the endogeneity of explanatory variables to estimate the real effect of per capita income and the other variables on environmental pressure. In this regard, employing the panel Fixed-Effects Instrumental Variable (IV) methodology, the data from 213 countries have been used in the period from 1990 to 2018. Through regression analysis, it has been discovered that there is a direct correlation between income and the impact on the environment in developing nations. However, this relationship is notably more pronounced in low-income countries compared to high-income countries. Additionally, the study reveals that trade expansion contributes to an increase in environmental pressure across all groups of countries. An increase in the school enrolment rate can affect the environment in developed and high-income developing countries. Moreover, the variable effect of capital openness on environmental pressure was estimated to be positive for developed and high-income countries. However, this effect was found to be negative for low-income countries. Finally, the result showed that developing countries should improve their legal structure and also reduce the bureaucracy and complexity of the laws.

In recent decades, the significance of the issue of climate change has escalated due to its intensified impacts, potentially diminishing or halting economic growth, particularly in developing countries and vulnerable sectors such as agriculture. Climate change may be considered the most important and complex human challenge. Among the economic effects, trade variables have been examined inadequately. Accordingly, the focus of this study is to investigate the impact of climate change on the export and import of agricultural products in Iran over a forty-year horizon, which was carried out using a dynamic input-output model. This study uses scenarios of temperature anomaly to examine the impact of climate change on different sectors of Iran’s economy. The findings indicate that climate change has a significant impact on the growth of both exports and imports of agricultural products. Under normal conditions without climate change, the average annual growth rate of agricultural product imports is 2.7 percent. However, this rate decreases to 1-1.8 percent when different climate change scenarios are taken into account. Regarding the exports, the corresponding value is 2.75 percent, expected to be reduced to 0.55-1.8 percent.  In addition, it was found that agricultural trade will be dominated by cereals import. Also, the total trade of the Iranian economy will change in favor of non-agricultural commodities

The examination of exchange rate management, interest rate, and capital market openness is one of the topics under discussion in macroeconomic policies. The assumption in maintaining equilibrium among these three policies is that any change in one of these policies requires an appropriate change in the combination of the other two policies, and there is always an equilibrium among them. The selection of three indicators; exchange rate stability, monetary policy independence, and financial market openness, is well known as the Mundell-Fleming model or the Impossible trinity. The current study explores the common determinants of exchange rate stability, monetary policy independence, and financial market openness using the panel data from a period of 2001 to 2020. Initially, using economic and structural principles, the common determinants of the impossible trinity policy are identified, then parameter estimation is carried out using the SUR model. Finally, it is examined how deviations from the impossible trinity assumption create a political pressure that may lead to a crisis unless policymakers adjust a proper combination compatible with it.