مطالب

Industrial investment in Iran, especially in the wake of sanctions’ intensification in the 2010s, decreased significantly. The government implemented fiscal policy which has been associated with uncertainty. In this paper, using a dynamic panel model and generalized method of moments, we examined the effect of fiscal policy uncertainty on investment in 24 industrial groups in Iran over the period 2002-2020. The results indicated that the growth of fiscal level shock,resulted in a low but positive effect on investment directly. However,the coefficient of cross effect between the growth of fiscal level shock and the fiscal policy uncertainty undermined the positive effect on industrial investment. The government has had two effects on industrial investment indirectly through the demand side shock. By creating demand, it has had a positive effect on industrial investment with the cross effect between the growth of the fiscal level shock and industrial sales. However, on the other hand, the growth of the fiscal level shock has been associated with the creation and growth of fiscal policy uncertainty, so that the cross effect between the growth of fiscal policy uncertainty and the growth of industrial sales on industrial investment shows a high negative coefficient. The results of these two effects suggest that due to high uncertainty,the indirect government effect on investment in 24 industrial groups is negative, which happens through the demand-side shock. Moreover, the growth of fiscal policy uncertainty, sanctions, and interest rates, respectively, have had the most adverse effect on investment in 24 industrial groups in Iran.

The purpose of this study was to compare the functioning of five restrictive CDMs, including DINA, DINO, A-CDM, LLM, and RRUM, against the G-DINA model to identify the best-fitting CDM which can better explain the interaction underlying the attributes of the reading comprehension section of an Iranian high-stakes language proficiency test. To achieve this aim, item responses of 1152 examinees to the items of the test were examined. The six CDMs were initially compared in terms of relative and absolute fit statistics at test-level to choose the best model. It was found that the G-DINA model outperformed compared to the restrictive models; thus, it was selected for the second phase of the study. Concerning the second purpose of the study, the G-DINA was used to identify strengths and weaknesses of the examinees. The results revealed that making an inference and vocabulary are the hardest attributes for examinees of the test, and understanding the specific information is the easiest attribute. Finally, the models were also compared at item-level. The presence of a combination of L2 reading attributes was found.

Local item dependence (LID) refers to the situation where responses to items in a test or questionnaire are influenced by responses to other items in the test. This could be due to shared prompts, item content similarity, and deficiencies in item construction. LID due to a shared prompt is highly probable in cloze tests where items are nested within a passage. The purpose of this research is to examine the occurrence and magnitude of LID in a cloze test. A cloze test was analyzed with the Rasch model and locally dependent items were identified with the residual correlations. Findings showed that three pairs of items were locally dependent. When these items were removed from the analysis, test reliability dropped but item fit and unidimensionality improved. Removing the three locally dependent items did not affect person ability mean and standard deviation, though. The findings are discussed in terms of LID detection and modeling in the context of cloze test and language testing.

The significance of assessment as a learning component has led to the development of a sound assessment system that supports the teaching and learning objectives. Achievement of learning assessment should prioritize assessment as learning (AaL) and assessment for learning (AfL) rather than the assessment of learning (AoL). The appropriate AaL and AfL have influenced the process of AoL. Almost all teachers in Indonesia have faced the challenge of implementing Aal and AfL. This study used a qualitative study to report English as a Foreign Language (EFL) teachers' perceptions and challenges regarding technology-based AfL and AaL. The design of the study was content analysis using the coding procedure and the grounded theory framework as the analytical foundation. Data gathered involved conducting structured interviews with 60 EFL teachers from three central provinces within Indonesia. The findings revealed that EFL teachers in Indonesia had different perspectives about technology-based AfL and AaL as flourishing assessment approaches. Most of the EFL teachers' perceptions said that due to a lack of time, large classes, and lack of knowledge and training on technology-based AfL and AaL principles and practices in EFL contexts, implementation of technology-based AfL and AaL was viewed as challenging. The study has implications for EFL teachers and trainers in developing an instructional model of technology-based AfL and AaL.

Incremental intelligence plays an important role in self-regulating and enhancing writing performance among language learners. The present study aimed to investigate the relationship among variables of the incremental theory of intelligence, self-regulatory writing strategies, implicit theory of writing, and writing performance in EFL learners. To do so, 320 Iranian IELTS candidates were invited to participate in the study. Three questionnaires, namely incremental intelligence, self-regulatory writing strategy, and implicit theory of writing, were utilized. The participants included male and female IELTS candidates aged 19-27 years with a minimum band score of 6.5 in their writing skill. Furthermore, their educational qualifications included BA and MA degrees. The collected data were analyzed using SPSS and structural equation modeling (SEM). The correlation analysis showed that the incremental theory of intelligence had a significant relationship with self-regulatory writing strategy, implicit theory of writing, and writing performance. Moreover, the obtained results of SEM confirmed the findings of the correlational analysis, indicating statistically significant positive correlations among the variables of the study. The findings revealed that a growth-oriented mindset could affect students’ use of four types of self-regulatory writing strategies. Self-regulatory writing strategies also played a pivotal role in guiding, stimulating, motivating, and sustaining learners’ efforts, thus predicting writing performance. The results of this study can help EFL learners learn how to regulate and manage themselves in writing skills. Learners can assess the extent of their professionalism and endeavor to identify their weaknesses in the learning process.

In the multifaceted landscape of entrepreneurship, this research delves into the intricate relationship between entrepreneurial orientation and entrepreneurial intention, focusing specifically on the final-year female undergraduates in Nigerian federal universities. Grounded in the Human Capital Theory (HCT), this study uncovers profound insights into the multifaceted relationships between various entrepreneurial traits and their influence on entrepreneurial intentions. The findings reveal a nuanced relationship between traits such as autonomy, competitive aggressiveness, risk-taking, self-esteem, and the sense of inclusion with entrepreneurial intentions. Autonomy and competitive aggressiveness emerge as significant influencers, while risk-taking displays a non-significant association. Self-esteem holds profound implications, while the sense of inclusion exerts a more subdued impact on entrepreneurial intentions. Theoretical implications challenge and expand existing frameworks, notably HCT. While HCT posits that investments in education and training foster entrepreneurial traits, this study suggests a more intricate relationship. The non-significant association of certain traits, despite their emphasis in HCT, underscores the need for a nuanced understanding, possibly integrating other theoretical frameworks. From a practical standpoint, these findings guide policymakers and educators in designing targeted interventions. Specialized training programs, workshops, and courses emphasizing autonomy, competitive aggressiveness, and self-esteem can be developed. Integrating competitive elements, like business plan competitions, can nurture students' competitive drive. Policy recommendations include tailored entrepreneurial education, fostering inclusive environments, promoting a risk-taking culture, supporting longitudinal studies, and enhancing collaboration between educational institutions and industry.

Iran Language Institute (ILI) plays a crucial role in teaching English in Iran and offers a comprehensive Teacher Training Course (TTC) for the teachers before their being employed. Still, these teachers encounter difficulties in different areas, but there are few studies investigating the teaching challenges of EFL teachers teaching at ILI. Thus, this study investigated the teaching challenges of newly-hired and experienced teachers, teaching at different age levels. The data were gathered data through 100 classroom observation forms belonging to 18 kids’ teachers, 47 young-adults’ teachers, and 35 adults’ teachers (69 experienced and 31 newly-hired). We also interviewed with 5 kids’ teachers, 5 young-adults’ teachers, and 6 adults’ teachers. It was revealed that young-adults’ teachers faced fewer challenges than kids’ and adults’ teachers. Besides, experienced teachers encountered fewer problems than newly-hired teachers. The results of the observation forms were different from the interviews. However, time management was the only problem which was mentioned in the interviews, observation forms, and different age levels. According to the teachers, the reason behind these challenges was the intensive syllabus, old books and videos, and teachers’ having to follow a series of fixed teaching steps.

lexical diversity of argumentative and narrative writings of L2 learners, and the contribution of syntactic complexity and lexical diversity to the writing quality in the L2 argumentative and narrative writings of EFL learners. To this end, 46 pre-intermediate and intermediate Iranian EFL learners from four intact classes wrote one argumentative and one narrative essay in L2, and one argumentative and one narrative essay in L1 on different topics. Paired-samples t-tests revealed that lexical diversity surfaced more in the L1 writing of the learners. Multiple linear regressions indicated that among five measures of syntactic complexity, mean length of T-unit and clauses per T-unit better predict the quality of argumentative writing. In addition, complex nominals per clause are better predictors of narrative writing quality. Simple linear regressions showed that lexical diversity is a significant predictor of L2 writing in both genres. Based on the findings, writing instructors are advised to provide L2 learners with explicit instruction on the use of diverse vocabulary and different syntactic structures in order to help them improve the quality of their writing.