درخت حوزه‌های تخصصی

The current quasi-experimental research aimed at exploring the influence of Lexically-Based Language Teaching (LBLT) on task response and coherence and cohesion aspects of the writing proficiency of Iranian university EFL learners. The research sample of the study included sixty male and female university students (N = 60) attending two university classes. They were selected by using a convenient sampling procedure and were assigned to experimental and control groups. To ascertain the groups' homogeneity at the beginning of the study, the researchers gave two groups the Key English Test (KET). Prior to starting treatment, two groups took the pretest writing task. While the participants comprising the experimental group were instructed consistent with the lexical approach's underlying practices and activities, those constituting the control group were instructed based on conventional techniques applied to present essay writing in universities. At the end of the experiment, the posttest writing, identical to the pretest, was given to both groups. To compare the two groups' mean scores with respect to coherence and cohesion and task response aspects of post-test writing, One-way Analysis of Covariance (ANCOVA) and independent T-test were drawn upon. Version 20 th of the SPSS software was applied for this end. The attained results were indicative of a significantly positive influence of the lexically-based language teaching on both coherence and cohesion and task response aspects of writing proficiency. However, the attained improvement was greater in the task response aspect. The findings suggest some implications for English language teachers and university instructors.

Game-based learning and the use of Artificial Intelligence in education is a powerful way to enhance learning and provide content that has been underrated in the Iranian context. This study designed an educational video game under the name of Lost p to improve learners’ writing ability based on a process based-approach within Dynamic Assessment context. Thus, the researcher employed experimental design and used the designed video game as a medium of instruction for the experimental group. The control group received a teacher-oriented method and both groups received feedback and corrections based on the Aljaafreh & Lantolf (1994) self-regulatory scale. The result of the study shows that the experimental group outperformed learners in the control class. We found that teaching paragraph writing rules, such as drafting, getting idea techniques, topic sentence development, and integrating them with the elements of the game were entertaining for the gamified group. To explore players’ attitudes toward the game, a semi-structured interview was conducted that showed differences between gamified and non-gamified writing tasks in the post-test phase of the research since the experimental group’s writing scores were enhanced in the second phase of the study. Moreover, this study suggests L2 learners and teachers can adapt game thinking and elements of games to their educational practice.

Designing trading systems with good returns is critical for capital market investors. Trading systems are often based on a combination of several tools to use their combined information. For the first time in Iran, the present study aimed to propose a pattern detection algorithm for a flag pattern based on Japanese candlestick charts and their arrangement. By recognizing the pattern and if the 4- and 10-day moving average is confirmed, a shopping position is developed, and the selling time is determined based on an optimized and dynamic process commensurate with price changes and the data scale. Our objective was to address the question of whether the returns resulting from this strategy have a more significant positive return compared to the purchase and maintenance strategy. The research sample included the daily information of 16 active companies of basic metals in Tehran Stock Exchange during 2007-2019, extracted from the database of Novin Rahavard software. Data analysis was performed in MATLAB software, and the obtained experimental evidence was described using t-test. According to the results, the research strategy had a higher performance in terms of returns and risks compared to the market.

The occurrence of unexpected phenomena in recent decades in financial markets around the world,led to the development of theories,beyond the defined principles and criteria of classic finance.These theories are based on financial psychology and they are explaining the role of psychology in financial sciences as an influential factor and became irreplaceable in financial markets and investor decisions.One of the important theories in this field is the bounded-rationality-theory,which can explain the behavior of decision-makers about financial and economical issues based on defined theoretical frameworks and assumptions.This study developed the stock pricing model by comparing the predicted stock price based on the bounded-rationality-theory and the real stock price through collecting the data of 122 companies listed on the Tehran Stock Exchange during the period 2011to 2019.The results of this study show the effectiveness of the bounded-rationality-theory based on the separation of stock return components and measuring the irrationality coefficient and emotional reactions of investors' decisions in stock prices.Accordingly,the limitations of investors 'ability to process information seem to affect the level of use of reasoning and rationality in decision-making and the effect of bounded-rationality through the irrationality and limited attention on stock pricing.Therefore,it is expected that knowledge about the process of bounded-rationality based on the rational-bounded of investors and the behavioral biases resulting from the irrational part of their thinking,will provide a good explanation for the process of changes in financial markets.This can provide both profit opportunities and costs in investment management so that it can be used in modeling,analysis and investment strategies.

The worldwide Covid-19 epidemic while affecting numerous places, has had a profound effect on virtual advertising and advertising and, globally, in the provinces and at the neighborhood level. except, this effect for the most element become positive, in contrast to what has seen in exclusive sectors which include economy, human sources, etc., whilst contamination reasons a variety of incapacity amongst clients and advertisers alike, in phrases of welfare, social work, inflation, business, and many others., the equal shifted conduct goes as a long way as running. , investing strength, getting into self-schooling, adopting new programs from the internet, expanding social and hygiene concerns, retaining distance strategies from complete regions, internet-based media willpower, get right of entry to online sources, etc., and this has greatly impacted the display and endorsed efforts. The moral movement has moved past the PC and digital international, which places open doors for advertisers and products to connect with clients more efficiently than ever before. With the arrival of expanded online media and the call for pc-generated content material, the evolved Media have given advertisers a part of the monetary freedom. At the equal time, this has, in turn, enabling advertisers to be extra proactive and to engage with the public at the same time as appearing excessive excellent demonstration programs. The purpose of this study is to explore, investigate, and recognize the effect of coronavirus on the digital market and businesses.