درخت حوزه‌های تخصصی

With the advent of artificial intelligence (AI) tools, language teachers are presented with new possibilities for addressing challenges in language education. This intervention study aimed to investigate views from ESL teachers on the benefits and challenges of integrating ChatGPT, An artificial intelligence (AI) language model created by OpenAI in 2023, into ESL classrooms for personalized language learning. The study carried out in two upper-secondary schools, combines teacher questionnaires and interviews with a personalized learning intervention based on ChatGPT. The primary focus was on understanding the effect of ChatGPT-based personalized learning assignments on learners’ grammatical knowledge in a local classroom setting. Through the questionnaire, initial teacher concerns regarding the precision, dependability, and helpful application of AI tools were investigated. Despite these reservations, the intervention demonstrated a notable decrease in grammatical errors in student writing. Subsequent interviews revealed a positive shift in teacher perceptions, indicating increased receptivity to AI-based approaches after witnessing positive outcomes. The study highlights the importance of teacher training and hands-on experience in overcoming initial hesitations associated with AI tool adoption in pedagogical practices. Moreover, the promising results suggest that AI-powered instruments, like ChatGPT, have the potential to enhance personalized language learning. This underscored the significance of educators cultivating their Technological Pedagogical Content Knowledge (TPACK) to overcome hesitations and effectively harness the potential of ChatGPT for augmenting individualized learning. The study’s findings provided evidence supporting the utilization of ChatGPT-based personalized learning assignments to meet the specific requirements of the schools in question.

Stance has been examined extensively in the past few decades. However, the majority of the studies have been synchronic, with the few exceptions being snapshot diachronic studies without trend-related inferential statistics. This study adopted a trend-related inferential statistical measure and a more continuous diachronic dataset to examine the changes in using stance in the research articles of English applied linguistics from 2000 to 2020. To this end, 416 articles were randomly selected from 10 applied linguistics journals indexed in the first quartile of Scopus and probed using LancsBox for normalized frequency of Hyland’s (2005b) list of stance markers. Results were then analyzed for trends using the Jonckheere-Terpstra test. The results showed significant decreases for the overall stance markers (J=37168, z= -2.85, d= -.28, p= .004)), hedges (J=37014, z= -2.96, d= -.293, p=0.003), boosters (J=36298, z= -3.47, d= -.345, p=.001), and attitude markers (J=36647, z= -3.22, d= -.32, p=0.001), while self-mention markers were found to have experienced a slight, non-significant increase (J=42527.5, z= .94, d= .096, p=0.349). The functional analysis of the selected excerpts showed that the quantitative decrease in the use of stance markers has been compensated for, with an increase in the modification range and strength of the used stance markers as the two ways we could discover. After discussing the findings, the paper ends with some suggestions for further research. 

Southeast Asian countries have always been the focus of oil producers due to the increase in population and the trend of economic growth. In the last two decades, Indonesia has been prioritized as one of the new markets for Iran due to its high population and forecast to become the fifth largest economy in the world and the upward trend of energy demand. The purpose of this research is to investigate the capacities of Indonesia using the documentary library research method. Indonesia is a developing country and has an increasing economic and population growth trend, which is facing an increasing demand for energy. For this reason, this market is always the focus of major oil producers.The results of this research show that the refinery capacity of Indonesia's need for petroleum products in the form of joint venture or take-off method to create a sales chain in this country can increase its dependence on Iran. And as a result, more market share can be obtained and also the joint investment cooperation in the upstream development sector with Indonesian oil companies in the direction of developing its fields is also significant. The first question in this research is “what are the capacities of joint cooperation with Indonesia in the field of oil industry”, and the second question is “what are the capacities of joint cooperation between Iran and Indonesia in the field of oil industry?”