درخت حوزه‌های تخصصی

The goal of this paper is to study the effect of Covid-19 outbreak on oil markets volatility.Covid-19 as a pandemic has a significant negative effect on global economy.  Alongside the global economy, stock markets responded to the outbreak immediately. The first case appeared in February 20 in Iran.  The outbreak has different implication for Iranian economy. Using daily data on return of oil companies registered at Tehran Stock Exchange (TSE), change in new cases integrated into the E-GARCH model as a proxy for the virus outbreak form February 20, 2020 until December 12, 2020, it applies an E-GARCH model to derive volatilities in index. To test the effect of Covid-19 outbreak on the volatilities in oil companies’ index, change in daily new cases integrated into the E-GARCH model as a proxy for the virus outbreak. The results show that, despite of fresh money pumped into the market and increase in market transactions and volume of trade, during the first phase of outbreak, Covid-19 has negatively affected returns of oil companies’ prices.

In the last decade, the tendency to use Blended learning across the globe has grown steadily due to its benefits and attributes, and to address the weaknesses of e-learning and face-to-face Instruction. The purpose of this study was to investigate the effect of Blended Learning based on Gardner's multiple intelligences on students' learning and to compare it with the face-to-face approach. The study population included all students enrolled in Tehran Farhangian University of Primary Education. This quasi-experimental study was carried out with pretest-posttest with  a control group in the academic year of 2016-2017. A total of 40 female college students participated in this study. They were selected by the available sampling method and randomly divided into two groups. Data collecting tools was a questionnaire of multiple intelligence profiles with 80 items, a questionnaire measuring the level of learning by comparing pre and post-test. Both experimental and control groups trained in eight 90-minute sessions. The control group was taught using face-to-face traditional Instruction and the experimental group along with Blended learning and network-based learning, went under Blended Instruction based on multiple intelligences using articulate engage software with educational media (text, audio, image, animation and video). To design learning activities, learners were grouped according to their predominant intelligence, which was measured through the multiple intelligence profile. In both groups, the pre-test and post-test were the same academic achievement. Data analysis was performed using SPSS 19 software. Findings of the research indicate that the level of students' learning in the experimental group has significantly increased in comparison with the control group after having participated in the Blended Learning based on multiple intelligences

The purpose of this study is to identify the role of sport as a soft power for Iran to facilitate its diplomatic relations after the nuclear deal. The research method used in this study is mixed (qualitative and quantitative): in the qualitative part of the analysis, the study sample was selected via Snowball sampling based on partricipants’ expertise in the sport diplomacy of Iran after two rounds of Fuzzy Delphi Method (FDM) exploratory factor analysis. Seven components of political currents, cultural exchange, peacemaking, national unity, economic development, transformation, communication, and religious currents were extracted. After identifying the study’s research variables in a structural-interpretive modeling, the relationship between variables was examined through a structural equation modeling test. The results of the structural equation model indicated that political currents, cultural exchange, transformation and communication had a direct and significant effect on national unity. The relationship between political and peacebuilding was not confirmed, but national unity and excellence in peace diplomacy had a direct and significant impact on the economic development of societies.

The present study aimed to examine the effects of an educational technology called smart learning pen (i.e., iPen) as an ICT tool on young Iranian male and female EFL learners' speaking accuracy and fluency. A group of 180 young (6-9 years old) male and female learners with no previous formal education in English were randomly assigned into three different conditions: those who used the iPen in class and at home (IPC), at home only (IPH), and those who did not use the iPen at all (NIP). As gender was an independent variable, each condition had male and female groups. To address the research questions, the participants' performance on the oral sub-test of the posttest was put into analysis. The two-way ANOVA run on the effect of the independent variables (iPen and gender) and their interaction on the participants' speaking accuracy, and fluency revealed that using iPen helped the IPC and IPH participants significantly outperform the NIP group in terms of both accuracy and fluency. However, such an analysis did not show any significant effect for gender, nor did it show any significant effect when the interaction of gender and other variables was taken into account. The study has practical implications for policymakers, language teachers as well as software, hardware, and mobile phone application developers.