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 Juxtaposing the ubiquitous facets of mobile technology as everyware (Greenfield, 2010) and vocabulary as one of the most axial aspects of language learning (Bowles & Cogo, 2016; Schmitt & Schmitt, 2020) , besides the importance of considering learners’ attributes and needs (Taghizadeh, 2019) while developing a mobile vocabulary application (app), necessitates analyzing the relationship and impact of all these elements in a single structural model. To tackle the issue, first, via a mixed-methods design, the researcher developed a bespoke mobile application using the task model and the principles of agile methodology. and then investigated the impact of using the app on a sample of 62 Iranian EFL university students’ vocabulary recognition and recall, the results of which were published in two other articles. In this study, the researcher integrated the obtained data within a proposed structural model and assessed the model's fitness to investigate the interaction and interrelationship among the latent variables mentioned above. The results obtained from SEM-PLS analyses revealed that within the unified structural model, the learners’ preferences and needs were favorably influenced by their learning style orientation and technology savviness. Similarly, the findings verified the positive impact of considering learners’ preferences and needs during the agile app development lifecycle on the target participants’ vocabulary knowledge, encompassing vocabulary recognition and recall. Finally, the fitness of the proposed structural model was verified based on the criteria for model assessment mentioned by Sparks and Alamer (2022) . The SEM-PLS data analyses and the implications of the study are presented and discussed.

This study explores how professional and student writers manifest their authorial identities and project their gender voices in their academic texts. To this end, 38 male-authored and 38 female-authored articles published in seven leading international journals were selected. Moreover, 38 articles written by male students and 38 articles authored by female students were collected from two universities in Iran. Taking an academic writing course, these students handed in their papers as term projects. These academic writings were analyzed based on Hyland’s metadiscourse framework comprising two major resources: interactional and interactive metadiscourse resources. The findings indicated the male authors mainly attended to discourse organization using more interactive resources while the female authors mostly solicited solidarity by employing more interactional resources. The professional authors engaged in a more critical stance using self-mentions and attitude markers and the students focused on discourse organization. Attitude markers and self-mentions, as markers of stance-taking, were absent in the students’ writing. The professional authors made use of their gender identity to promote their authorial identity instead of suppressing it. These results suggest that EAP programs should inform students how to employ both metadiscourse resources and their gender-based discourse choices to express their authorial identity more effectively.

The outbreak of the Covid-19 pandemic has forced many educational institutions worldwide to move from in-person to online classes. Although online technologies do facilitate learning and testing, academic dishonesty in online assessments (OAs) remains an issue of concern since technological devices provide students with ample opportunities to cheat in exams. The purpose of this study was to investigate Iranian high school students' perceptions of cheating in OAs. In addition, the study tried to examine the potential differences between male and female students’ perceptions of cheating in OAs. The participants were 214 Iranian high school students. They were asked to answer a questionnaire about academic dishonesty in OAs. The results indicated that more than 80% of the participants had experienced cheating in OAs. “Looking at the teaching materials and copying answers” was mentioned as the most frequent method of cheating. The main reason for cheating was “getting a better score”, and the main reason for not cheating was “being morally and socially unacceptable”. In addition, almost 70% of the participants did not have a negative attitude to cheating in OAs. Furthermore, there was not any significant difference between male and female students' perceptions of cheating (Sig.>.05).

The main goals of the study were to decipher the English language needs of dental students and to evaluate the effectiveness of the recent official English for specific purposes (ESP) book published for Iranian dental students by SAMT Publication. Accordingly, the study sought to determine whether this book has the potential to meet the specific needs of dental students. Needs analysis data were gathered by interviewing 34 ESP stakeholders from two universities of medical sciences in Iran. The interviews attempted to examine the students' language needs, lacks, and preferences. Following the needs analysis, six evaluators evaluated the coursebook based on a book evaluation form. The results obtained from the needs analysis highlighted the significance of practicing 4 language skills in addition to medical terminology.      In terms of students' language skill lacks, it was found that the majority of the students had problems in listening, speaking, vocabulary, and pronunciation. The participants also reported the learners' preferences and some drawbacks of current ESP courses with respect to learning styles and methodology. Following the book evaluation process, it was concluded that even though the book did not gain a fully satisfactory score, among a few ESP books published for Iranian dental students, this book was the most appropriate one to be used in ESP courses. However, considering some points can surely improve our future ESP books and give the material developers a better understanding of ESP materials.  

Modern teaching practices emphasize learner autonomy and learner-centered approaches to language learning. Such teaching methods require corresponding assessment approaches. Self-assessment is viewed as an assessment mode which matches modern learner-centered teaching methodologies. However, the validity and reliability of self-assessments are not yet conclusively established. This study aimed to provide validity and reliability evidence for self-assessments among Iranian EFL university learners. The Common European Framework of Reference (CEFR) Self-Assessment Grid was translated into Persian and was given to a sample of Iranian undergraduate students of English. A C-Test battery containing four passages was used as a criterion for concurrent validation. Self-assessments of university EFL learners were examined for internal consistency and test-retest reliability. Findings showed that while self-assessments are highly reliable they lack validity as evidenced with low correlations between components of self-assessment grid and the C-Test. The implications of the study for the application of self-assessments in foreign language education are discussed.

Since 2010, deep learning has been further developed, and the concept of multi-modality has penetrated into all walks of life. However, it has not been fully researched and applied in college English teaching, so this study modeled and practiced the multimodal teaching method of college English under the deep learning mode and its application. The definitions of modality and medium are first introduced, and then the definition of multimodality in this study is clarified. Then the classification of multimodal transport is expounded. The random forest algorithm is chosen as the main algorithm of this research, and a dynamic multimodal model is established. After that, there was a collaboration with a university and sophomore students were selected for practice. After processing and analyzing the collected data, it was found that in the data sample of 268 students, the number of students who did not study independently accounted for 24%, which indicates that most college students lack interest in learning English. Preliminary tests were also conducted on students' English proficiency throughout the year, and the results showed that the students' English proficiency was at a pass level and the overall English proficiency was weak. Reassessment of students' English proficiency showed that the actual teaching effect of each English proficiency was greater than 85%, and the effectiveness of English teaching in the selected universities was significantly improved. The average score improved by 8 points, indicating that multimodal teaching is scientifically effective After a semester of multimodal teaching, the English teaching effectiveness of the university selected in this article has significantly improved. The research results indicate that the development of deep computer learning has introduced multimodal concepts into the teaching field, which is very suitable for assisting language learning based on its own advantages. After a semester of multimodal teaching, the English teaching effectiveness of the university selected in this article has significantly improved. The research results indicate that the development of deep computer learning has introduced multimodal concepts into the teaching field, which is very suitable for assisting language learning based on its own advantages.

The primary objective of this study was to evaluate the impact of explicit instruction aimed at improving vocabulary on the writing proficiency and long-term retention of new vocabulary among second language (L2) learners. The achievement was accomplished through the administration of a fill-in-the-blank assessment, which included 30 individual words and 6 lexical phrases, to a group of 30 EFL students at an upper-intermediate level. Subsequently, these students engaged in a reading exercise centered around the topic of 'Bull Fighting' and subsequently crafted a paper titled 'A Cruel Sport'. The results demonstrated a notable enhancement in the quantity of terms actively utilized in their writing following the focused vocabulary teaching. The statistical analysis revealed that the participants were capable of retaining the newly-acquired language even after a considerable amount of time had elapsed since the lesson. This study presents comprehensive information on these findings and provides suggestions for L2 teachers, asserting that although comprehending a word does not inherently result in its active utilization, learners possess the capacity to enhance their active vocabulary and accurately employ recently acquired words. Explicit training in vocabulary is advantageous for converting recognition vocabulary into productive language during immediate writing tasks and enhancing retention. Nevertheless, consistent and regular practice in utilizing recently learned vocabulary is necessary for it to become effective in long-term written expression.

Abstract Formative assessment has been often encouraged recently as a pivot component in the methodology of evaluation but the student's view of how this affects the improvement of language learning in some countries is disregarded in a way. Therefore, the following study investigates the experiences of students (pre-service teachers) in formative assessment and the tools used for its implementation. Teaching and evaluation are based on learning outcomes and students' approach to the activities that students are liable to convey in the course of English for teachers in the Department of Education. The study analyzed students' perceptions and their approach to formative assessment utilization. The Formative Assessment appears as a dignified way to raise the quality of learning, and as a result, the students achieve their goal to pass the exam successfully and get high grades. To acquaint their perspectives, 85 students as study respondents took part in the research in which both quantitative and qualitative methods were used. The quantitative research data from the questionnaire were analyzed through the SPSS platform, while the qualitative research data extracted from the focus group are presented through descriptive analysis, in the form of quotations. The findings of the questionnaires evinced the students' views on formative assessment and further, data from focus group discussions validated the reasonableness of what the students perceived in the questionnaire. Implications recommended that in addition to the tiresome work of continuously preparing during the teaching, EFL teachers are able to meet the individual needs of the students depending on the differences they have among themselves.

Cognitive diagnostic models (CDMs) have received sustained attention in educational settings because they can be used to operationalize formative assessment to provide diagnostic feedback and inform instruction. A large number of CDMs have been developed over the past few years. An important component of all CDMs is a Q-matrix that specifies a particular hypothesis about the relationship between each test item and its required attributes. The purpose of this study was to construct and validate a Q-matrix for the reading comprehension section of the Islamic Azad University English Proficiency Test (IAUEPT), as an advanced English placement test designed to measure language ability of Ph.D. candidates who tend to pursue their studies in the IAU. To achieve this, using item responses of 1152 candidates to twenty items of the reading section of the test, an initial Q-matrix was constructed based on theories and models of second/foreign language (L2) reading comprehension, previous applications of CDMs on L2 reading comprehension, and brainstorming and consensus of five content experts. Then, the initial Q-matrix was empirically validated using the method proposed by de la Torre and Chiu (2016) and checking mesa plots, and heatmap plot. Five attributes were derived for the reading comprehension section: vocabulary, grammar, making an inference, understanding specific information, and identifying explicit information. Finally, the analysis of the Generalized Deterministic Inputs, Noisy “and” Gate (GDINA) regarding absolute fit at item- and test-level as well as three residual-based statistics showed the accuracy of the Q-matrix and a perfect model-data fit.

Cognitive diagnostic models (CDMs) have received much interest within the field of language testing over the last decade due to their great potential to provide diagnostic feedback to all stakeholders and ultimately improve language teaching and learning. A large number of studies have demonstrated the application of CDMs on advanced large-scale English proficiency exams, such as IELTS, TOEFL, MELAB, and ECPE. However, too little attention has been paid to the utility of CDMs on elementary and intermediate high-stakes English exams. The current study aims to diagnose the reading ability of test takers in the B1 Preliminary test, previously known as the Preliminary English Test (PET), using the generalized deterministic input, noisy, “and” gate (G-DINA; de la Torre, 2011) model. The G-DINA is a general and saturated model which allows attributes to combine in both compensatory and non-compensatory relationships and each item to select the best model. To achieve the purpose of the study, an initial Q-matrix based on the theory of reading comprehension and the consensus of content experts was constructed and validated. Item responses of 435 test takers to the reading comprehension section of the PET were analyzed using the “G-DINA” package in R. The results of attribute profiles suggested that lexico-grammatical knowledge is the most difficult attribute, and making an inference is the easiest one.

This cross-cultural study aims to examine how Iranian and American motivational speakers employ metadiscourse devices as a convincing tool to interact with their audience. To this end, eight motivational speeches in English and Persian were randomly selected from 2015 to 2021, and analyzed for the use of stance (i.e., hedges, boosters, attitude markers, and self-mentions) and engagement (i.e., reader-pronouns, directives, questions, shared knowledge, and personal asides) expressions. The findings showed that self-mention and attitude markers were the most frequently used stance markers in English and Persian corpus, respectively. Moreover, hedges found to be the least frequently used stance markers in the two corpora. With regard to the use of engagement markers, results showed that reader pronoun is the most frequently used engagement markers, and shared knowledge and personal asides were the least frequently used engagement markers in both languages. Finally, the results of chi-square test showed statistically significant differences in the use of stance and engagement expressions in the two languages, confirming cultural septicity nature of metadiscourse markers, and that speakers of different languages employ interactional devices according to their context.

Predicting students’ performance in a course is one of the major aims of educational data mining systems. In the present study, two and three-layer artificial neural networks (ANN) and neuro-fuzzy systems (NFS) were used to predict Iranian EFL learners’ final scores and compare them with scores given by their instructor. Sixty-six students’ scores in an English reading comprehension course comprising of five sub-scores of midterm (out of 40), quiz (out of 60), final (out of 50), class participation (out of 5) and bonus (out of 2) were used for training the systems. Two and three-layer ANNs and an NFS were trained to predict students’ final scores using training data. Researchers compared the students’ final scores given by their instructor and those achieved through the ANNs and NFS. The results showed that the NFS could predict and deliver scores that were closer to the linear sum of students’ scores. Moreover, three-layer ANN had a better performance than the two-layer ANN. According to these results, data mining techniques could deliver an accurate estimate of students' abilities in a particular course.

The Collaborative for Academic, Social, and Emotional Learning (CASEL) defines self-awareness competence as the ability to assess one's emotions, values, and skills realistically. Utilizing this definition as a theoretical framework, this qualitative study aimed to explore EFL teachers' perceptions and strategies regarding self-awareness competence in the classroom. To accomplish this goal, 19 EFL teachers from Iran were recruited through convenience sampling and took part in one semi-structured written interview and four focus group interviews to exchange their perspectives and strategies for developing their self-awareness competence. Adopting the routine analytical steps in grounded theory, i.e., open, axial, and selective coding, the study identified three key components for the participants’ self-awareness perceptions: knowing one’s emotions, having a growth mindset, and having a realistic sense of self-perception. The participants also outlined two primary categories of self-reflection strategies - practical and cognitive - to enhance their self-awareness competence. It was found that reflective practices were essential tools for cultivating the self-awareness competence of EFL teachers. Additionally, the study unveiled that EFL teachers' attitudes and strategies toward self-awareness competence were harmonious. Ultimately, the findings demonstrated promising prospects for future EFL teachers to enhance their personalized reflective strategies.

L2 Motivational Self System (Dörnyei, 2005, 2009) holds a remarkable potency in explaining the long-term routes to L2 acquisition. Meanwhile, due to the prevalence of dynamic systems perspective, the theory has been awaited to account for the affective and cognitive aspects of L2 learning. The present study attempted to test an integrated model to examine the correlations between components of the revised L2MSS, L2 emotions of Enjoyment and Boredom, Intended Learning Effort, Vigilant and Eager L2 Use, and L2 Proficiency utilizing structural equation modeling. The data was obtained from 350 TOEFL test takers in ETS official centers in Iran. The results demonstrated the strongest prediction of Intended Learning Effort by Ought L2 Self/Own, coming next to the Ideal L2 Self/Own and Ideal L2 Self/Other. Ideal L2 Self/Own and L2 Learning Experience were positive predictors of L2 Enjoyment, whereas Ought L2 Self/Other and L2 Learning Experience had a positive and negative impact on L2 Boredom, respectively; L2 Enjoyment predicted Intended Learning Effort and Eager L2 Use positively, whereas L2 Intended Learning Effort Vigilant L2 Use were predicted negatively and positively by Boredom, respectively. Moreover, Eager L2 Use and Intended Learning Effort were positive predictors of L2 Proficiency; however, Vigilant L2 Use was conversely related to L2 Proficiency. Overall, the findings illustrate the superiority of a promotion orientation to L2 learning and the equal importance of quality and quantity of the Motivated Learning Behavior, which has significant pedagogical implications in terms of motivational and self-regulatory learning strategies in designing and managing L2 classroom tasks.

"Lexical Chains" is one of the newest branches of statistical semantics, which is defiend as the process of identifying words that have semantic relationship with each other, and help us to identify the topic and main content of the text. In this research, we aim to determine lexical chains of sermons No. 87 and 191 of Nahj al-Balaghah, based on the theory of "Saxena", as well as "Barzilay" and "Elhadad", using the descriptive-analytical and statistical method. The results show that in both sermons, the semantic relation "Antonym" has the most frequency. In sermons No. 87 and 191, respectively, 8% and 5% of the chains are "strong chains", and play the main role in determining the main themes of the sermons. According to the data, choosing the title "religious, ethical, scientific" for the sermon No. 87, and "moral, ethical, social, intellectual" for the sermon No. 191 -contrary to what "Mohammad Dashti" mentioned for them- seems more appropriate.