درخت حوزه‌های تخصصی

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.

Iranian National University Entrance Exam (INUEE) as a nationwide high-stakes test is held annually to screen Iranian high school graduates and admit them into higher education programs in universities. This high-stakes examination has a wide range of impacts on test takers as the primary stake-holders and the parents, teachers, and high school principals as the secondary stakeholders. This study reports the impacts of INUEE on high school teachers and principals. To this aim, 27 teachers and 18 principals from three western provinces of Iran sat for a structured interview. Each interview lasted nearly 30 minutes. All the interviews were audio-recorded and transcribed. Next, following the Grounded Theory (Glaser & Strauss, 1967) as the basis of analysis, the transcriptions were subjected to content analysis to extract common patterns and recurring themes. Content analysis was applied to codify the transcribed interview data through an inductive process of frequent moving back and forth to extract common patterns and recurring themes of the data. After coding and 'quantitizing' the data (Dörnyei, 2007), the basic themes were identified, frequency counted, and tabulated. The results indicated that from the majority of the participants' perspective, the INUEE has detrimental consequences for students, teachers, school principals, and the educational curriculum. The findings of the study underscore the consequential invalidity and unfairness of the test and its negative impacts on different aspects of the educational system. The findings provide practical implications for educational policy-makers, school principals, and teachers highlighting the necessity of their awareness of negative consequences of INUEE.

Language placement tests (LPTs) are used to assess students’ proficiency in a progressive manner in the target language. Based on their performance, students are assigned to stepped language courses. These tests are usually considered low stakes because they do not have significant consequences in students’ lives, which is perhaps the reason why studies conducted with LPTs are scarce. Nevertheless, tests should be regularly examined, and statistical analysis should be conducted to assess their functioning, particularly when they have a medium or high-stakes impact. In the case of LPTs administered on a large-scale, the logistic and administrative consequences of an ill-defined test may lead to an economic burden and unnecessary use of human resources which can also affect students negatively. This study was undertaken at one of the largest public institutions in Latin America. Nearly 1700 students sit an English LPT every academic semester. A diagnostic statistical analysis revealed a need for revision. To retrofit the test, a new test architecture and blueprints were designed in adherence to the new curriculum, and new items were developed and tried out gradually in several pilot studies. Item Response Theory (IRT) was used to examine the functioning of the new test items. The aim of this study is to show how the test was retrofitted, and to compare the functioning of the retrofitted version of the English LPT with the previous one. The results show that the quality of items was higher than that of the former English LPT.

The increasing use of computer-based mode in language testing raises concern over its similarities with and differences from paper-based format. The present study aimed to delineate discrepancies between TOEFL PBT and CBT. For that objective, a quantitative method was employed to probe into scores equivalence, the performance of male-female participants, the relationship between completion time and test score, and test mode’s effects on participants’ performance. Totally, 124 undergraduates partook in the current research whose ages ranged from 19 – 21 years (M = 20, SD = .66). To analyze the data, MANOVA, Pearson correlation, and regression tests were run. The findings uncovered that: (1) PBT and CBT were equivalent in scores; (2) male and female’s scores were not significantly different; (3) there was a moderately negative correlation between completion time and score; (4) computer familiarity, habit in using computers, and perception toward CBT did not affect performance in TOEFL. For researchers, the implication of this study concerns the interchangeability of the two-test modes. For CBT test designers, it concerns the appropriate inclusion of visuals, time related measurement, and procedures to design computer-based tests.

Reading aloud is recommended as a simple technique to measure speaking ability (Hughes & Hughes, 2020; Madsen, 1983). Reading aloud is currently used in the Pearson Test of English and a couple of other international English as a second language proficiency tests. Due to the simplicity of the technique, it can be used in conjunction with other techniques to measure foreign and second language learners’ speaking ability. One issue in reading aloud as a testing technique is its psychometric modelling. Because of the peculiar structure of reading aloud tasks, analysing them with item response theory models is not straightforward. In this study, the Rasch partial credit model (PCM) is suggested and used to score examinees’ reading aloud scores. The performances of 196 foreign language learners on five reading aloud passages were analysed with the PCM. Findings showed that the data fit the RPCM well and the scores are highly reliable. Implications of the study for psychometric evaluation of reading aloud or oral reading fluency are discussed.

The use of digital games has increased dramatically in the last two decades due to the augmentation in the number of Personal Computers (PCs) and mobile devices worldwide. Not only can digital games be played for entertainment, but also, they may have both positive and negative effects on their players. Various effects of digital games on individuals’ levels of attention span, concentration, and addiction have already been tested by numerous studies; however, their impact on incidental Second Language (L2) acquisition is still untouched by language researchers. To address this lacuna, this is a longitudinal observational study that lasted for three months to investigate the impact of digital games played by young learners for entertainment at home on their unintentional acquisition of English as an L2. The age of the participants ranged from 8 to 14 years old, and the experiment was conducted during the Covid-19 pandemic in 2021. Three main games were played by the sample; namely, Free Fire, Minecraft, and Among Us. The findings revealed that digital gaming significantly influenced the vocabulary development of the participants, and gaming was a clear asset for their L2 acquisition. It was also found that the players’ level of vocabulary retention was high; however, two drawbacks were identified in this regard, namely, the prolonged screen time and vocabulary items specifically related to a given area of a particular game. Overall, this study can be an impetus for further research into evaluating the benefits or drawbacks of using digital games for specific aspects of L2 acquisition such as the development of cognitive abilities or enhanced understanding. 

The present study aims to assess the effectiveness of remedial English courses in improving students’ English skills in terms of grammar, vocabulary, listening, and speaking. The study also aimed to identify the optimal number of contact hours spent in remedial courses to improve students’ post-test scores. The study utilized the pre and post-test scores of 37 students enrolled in the English remedial Programme at the University of Technology Bahrain during the second and third trimesters of the Academic Year 2020-2021. Using a non-parametric Wilcoxon Signed Ranked Test and Receiver Operating Characteristic curve, the study derived the following conclusions: Remedial courses significantly increased the post-test scores of the students for both grammar and vocabulary and speaking and listening. This would suggest that the conduct of remedial courses effectively improves the overall English-speaking skills of the students who completed the remedial course despite being fully delivered online. Contact hours spent in remedial courses, both in ENGL301 for Speaking and Listening and ENGL302 for Grammar and Vocabulary, can significantly determine the students’ success in passing the post-test. The effect of the number of contact hours in the remedial course on passing post-tests, both for Grammar and Vocabulary and Speaking and Listening, is not linear. The optimum numbers of hours to be spent per trimester on directed learning to improve students’ post-test scores in grammar and vocabulary, and speaking and listening are 86.25 and 88.5 hours, respectively. This threshold maximizes the chance of predicting the students who passed at the level of sensitivity and specificity.