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In this article, the plural marker in the Mahshahri dialect is examined. Mahshahri is the native language of the people of Bandar-e Mahshahr. This dialect has close similarities with other Iranian language varieties spoken in southern Iran, particularly those of other southern cities of Khuzestan Province, and Iranian language varieties of Bushehr, Fars and Kohkiluye and Boyr-Ahmad provinces. From a methodological point of view, this research is descriptive and analytical. The research data were mainly obtained through a questionnaire and by examining the text of a twenty-minute continuous speech from the Mahshahri dialect. The investigations carried out in this article show that the plural marker of Mahshahri is /-æl/, which, based on the phonetic environment of the base to which it is added, can have other allomorphic manifestations as well. The conducted studies also indicate that there are variations in the use of the plural marker in the Mahshahri dialect. These variations, in many cases, align with the replacement of the marker with its standard Persian counterparts. Therefore, the variations that can be seen in the use of the plural marker of Mahshahri can be considered in line with other current changes that are underway in the direction of leveling the dialect with standard Persian in Iran. 

Language proficiency seems not to be realized without language learner’s engagement in terms of behavioral, emotional, cognitive, and metacognitive dimensions in the learning process. A mixed method was employed in this quasi-experimental study to examine the effectiveness of self-regulated learning (cyclical with and without emotion regulation) in improving EFL learners’ accurate use of grammatical structures and to compare it with the form-focused (non-SRL) control group. One hundred twenty-two homogenized lower intermediate EFL College students were randomly distributed to the two experimental groups and the control group. Two writing tests were used as the pre-test and post-test. The data analysis of the ANCOVA showed that self-regulated learning (cyclical and ER) had a significant effect on the students' grammatical accuracy in writing, which was followed by the SRL (cyclical) group. The focus on the form group showed the lowest performance. The Emotion Regulation Questionnaire was administered to students in the pretest and posttest phases. The result of the paired sample t-test on emotion regulation represented a large effect size. The content analysis indicated that most students significantly held positive perceptions of the SRL strategies taught. Thus, the findings of this study have pedagogical implications for F/S teachers, students, and material developers who can design SRL tasks in which language skills are met.

English as a Foreign Language (EFL) University students usually write in their native tongue and translate it into English using Artificial Intelligence programs. The study evaluated the quality of translations generated by AI in one hand and investigated the impact of Artificial Intelligence Generated Translation (AIGT) on EFL students in another. A human translator and an AI tool were used to translate two sample texts from English into Persian. The texts were given to 30 EFL teachers to examine the quality of AI translations. In addition, 152 students randomly divided into control or experimental groups were exposed to translated texts. Results from an independent t-test showed that there was a negligible difference between the two groups. The qualitative analysis of the interview data that involved 30 participants revealed that language teachers perceived omission, addition, syntax and punctuation errors in AIGT as adequately acceptable, despite their prevalence. However, a majority of the teachers were dissatisfied with AIGT’s accuracy in rendering idiomatic expressions. Based on the results, EFL educators should acknowledge the prevalence and usefulness of AI among students, and aim to incorporate it effectively in their teaching instead of prohibiting its use.

Considering the EFL context, many teachers experience difficulty in incorporating what is learned in their pedagogical practices. This study attempted to discover the perception of in-service EFL teachers with various age groups, teaching experiences, and genders on the efficiency of the program in developing teachers’ content, pedagogical content, and pedagogical knowledge. The participants were selected from two groups of teachers who passed specific courses at Farhangian University and those who graduated from other universities which offered BA programs in TEFL. To this end, a questionnaire was constructed based on an extensive examination of the stated objectives of the current curriculum and was pilot-tested with 40 EFL teachers in both groups. As many as 160 high school teachers in Farhangian groups and 135 teachers in Non-Farhangian completed the revised questionnaire. A semi-structured interview consisting of ten open-ended questions was conducted with 20 of the participants in Farhangian and 20 teachers in Non-Farhangian groups. Based on MANOVA analysis, the effect of gender in Farhangian groups was statistically significant. The result of MANCOVA specified that there was no statistically significant mean difference between the two groups regarding the efficacy of the program in content knowledge (CK), pedagogical content knowledge (PCK), and pedagogical knowledge (PK).

The purpose of this research was to evaluate whether or not Artificial Intelligence (AI) tools are effective in improving language pragmatics training for university students in Iraq who have an intermediate level of English proficiency. The research made use of a mixed-methods approach, which combines qualitative and quantitative data in order to investigate how artificial intelligence affects the acquisition of pragmatic competence (RQ1), learner perceptions (RQ2), and the effectiveness of AI in comparison to traditional methods (RQ3). The results of the study indicated that the intervention including the AI tool resulted in a statistically significant improvement in pragmatic competence scores when compared to the conventional method of instruction. Learners who were part of the experimental group also reported having favorable impressions of the effectiveness of the artificial intelligence tool. They highlighted the program's emphasis on practical application, as well as its interactive features and individualized feedback. This research makes a contribution to the field of language instruction by demonstrating the potential of artificial intelligence to develop a more interactive and individualized learning experience for pragmatics, which will ultimately lead to improved communication skills among students.

The purpose of this study was to examine gender and discipline-based Differential Item Functioning (DIF) and Differential Distractor Functioning (DDF) on the Islamic Azad University English Proficiency Test (IAUEPT). The study evaluated DIF and DDF across genders and disciplines using the Rasch model. To conduct DIF and DDF analysis, the examinees were divided into two groups: Humanities and Social Sciences (HSS) and Non-Humanities and Social Sciences (N-HSS). The results of the DIF analysis showed that four out of 100 items had DIF across gender, and two items had discipline DIF. Additionally, gender DDF analysis identified one item each for Options A, B, and C, and four items for Option D. Similarly, the discipline DDF analysis revealed one item for Option A, three items for Option B, four items for Option C, and three items for Option D. The findings of this study have significant implications for test developers. The identification of potential biases in high-stakes proficiency tests can help ensure fairness and equity for all examinees. Furthermore, identifying gender DIF can shed light on potential gender-based gaps in the curriculum, highlighting areas where male or female learners may be disadvantaged or underrepresented in terms of knowledge or skills.

The current study set out to examine the effect of pair and group virtual interaction in online classrooms on the development of speaking abilities of Iranian intermediate EFL learners. This investigation was based on the quantitative data collected based on quasi-experimental design. In order to do so, 45 students were chosen based on their scores on the CEFR placement test. These students were then divided into two experimental groups, namely group work and pair work as well as a control group who worked individually. Students had to participate in the IELTS Speaking test twice as pre-test and post-test. The course was held on the Skype platform for five weeks. Each session consisted of 45 minutes of speaking practice using the Talk a Lot textbook and 20 minutes of discussion. In order to compare the means of three independent groups, Kruskal-Wallis Test was used to compare pre-test and post-test results. The Post hoc test was used for multiple comparisons and the mean differences of groups. The findings indicated that there is a significant difference between the experimental groups and the control group regarding the effect of group and pair work in online classrooms on the speaking ability of EFL learners. According to the study findings, students who participated in pair and group work training in online classrooms had greater speaking performance than those who only received individual learning.

This study was an attempt to see whether the instruction of pragmatic markers in virtual vs. face-to-face classroom settings had any effect on Iraqi EFL learners’ speaking ability. It also attempted to examine the intervening effects of some factors including age (teenagers in the language institute vs. adults in the university), gender, social class, and the learners’ English language proficiency levels.  To achieve these purposes, a group of 224 Iraqi EFL learners at a university and a private language institute in Kufa, Iraq passing conversation courses were selected and randomly divided into four groups. The two experimental groups (both in university and language institute settings) received instruction on pragmatic markers in online vs. face-to-face conversation classrooms while the two control groups (in university and language institute settings) did not receive instruction on pragmatic markers in online vs. face-to-face conversation classrooms. An English language speaking test was given to the learners to assess their oral performance before and after the treatment. The test was randomly selected from IELTS speaking tests. For the teenagers in the language institute, a simplified speaking task was designed based on IELTS criteria for assessing speaking performance. The results indicated that generally those who received pragmatic instruction outperformed those who did not receive such kind of instruction and the participants in face-to-face classrooms outperformed their virtual counterparts in terms of speaking ability. The study also examined the intervening effects of some social and personal factors including age, gender, social class and level of language proficiency. Based on the findings of this study, the male participants and the students from higher proficiency levels outperformed females and their lower proficiency counterparts in terms of speaking ability. However, they did not show any differences with regard to age and social class. This study offers important implications for EFL teachers, learners and material designers, with regard to the promising effect of face-to-face instruction of different pragmatic features of language through speech acts on learners’ speaking skill.