درخت حوزه‌های تخصصی

This research aimed to explore the impact of administering Nicenet as one of the virtual learning environments (VLE)'s on linguistic use and grammar instruction in writing. The design of the research was quasi-experimental method having a pre-test and a post-test. The participants were chosen through the convenience sampling strategy and were assigned randomly into experimental and control groups (female = 21, male = 21) and control (female = 21, male = 21). The participants were chosen concerning their performance on the Oxford Placement Test (OPT) and were homogenized accordingly. The outcome of Mann-Whitney, depicted that there was a statistically significant variation between the accomplishments mean scores of the learners of the experimental group who learned the grammar through computer and the control group who studied the same syntactic item utilizing the traditional strategy. The results demonstrated that computer as a tool and Nicenet as an application can help students to increase their grammar learning. The findings also showed that acquiring grammar point using Nicenet can be effective in improving learners’ grammar scores for both male and female learners, equally. This implies that both teachers and material developers can rely on computer software as the main platform for teaching grammar or the supplementary source of teaching grammar to EFL learners. Using established platforms such as Nicenet can even make the process of material development and instruction easier for teachers since they can provide more customized materials.

Recruiting efficient EFL teacher educators (TEs) is crucial for language institutes as it can directly affect the quality of language instruction and, consequently the success of language institutes. Nevertheless, language institute policies for employing TEs and strategies for their professional development have not been well-documented. To this end, semi-structured interviews were conducted in this qualitative study to investigate 30 language institute managers’ recruitment policies and professional development strategies for employing non-native English TEs in the Iranian EFL context. The participants’ answers to interview questions were transcribed and analyzed based on the three levels of the open, axial, and selective coding process. The results revealed that job experience, academic/educational competencies, and digital literacy are the most important features implicating the recruitment of TEs. As for professional development strategies for TEs, the main ones included holding regular meetings for TEs, asking TEs to take part in professionally relevant seminars, workshops, and webinars, and encouraging them to make peer observations of teacher education courses. These findings have implications for language TEs' recruitment and their professional development.

This study aimed to examine the impact of Group Dynamic Assessment (G-DA) on the listening comprehension of Iranian intermediate EFL learners. To this purpose, through the Preliminary English Test (PET) 140 Iranian EFL female learners in four English Language Institutes of Ahvaz, Iran, were tested, and 80 of them were selected as the sample of the study using convenience sampling. They were taught through group dynamic assessment. After the pretest and treatment sessions, the participants were given the listening comprehension post-test and the resultant scores were statistically analyzed to detect their development from pretest to post-test. The obtained results revealed that Group Dynamic Assessment (G-DA) had a positive impact on the participants’ listening comprehension. This finding implies that EFL teachers may need to consider the positive impact of dynamic assessment on EFL learners’ listening comprehension improvement and provide them with more opportunities to interact. They may also need to create a change in the traditional models of listening comprehension assessment which emphasize psychometric quantification of students' performances

A bulk of research has revealed that emotions play a crucial role in different aspects of second/foreign language (L2) education. However, the emotions that English as a foreign language (EFL) students experience during assessment have been neglected, so far. Against this backdrop, this qualitative study intended to unveil the typologies, antecedents, and outcomes of assessment-related emotions of 24 Iranian EFL undergraduate students studying applied linguistics. To this end, a semi-structured interview and a narrative frame were employed. The results of the thematic analysis demonstrated that undergraduate EFL students experienced different positive and negative emotions before, during, and after assessment practices at the university. Furthermore, it was found that “teacher”, “tasks”, and “textbook” were the most frequent causes of the participants’ perceived emotions in assessment. Concerning the outcomes of assessment-induced emotions, the results demonstrated that “burnout”, “frustration”, “demotivation”, “stress”, and “self-doubt” were the most frequent negative outcomes, while “motivation”, “learning”, “pride”, and “excitement” were repeatedly posited as positive outcomes. Finally, the study enumerates some implications for L2 educators and researchers concerning the role of emotions in assessment processes and practices.

Language testing and assessment has grown in popularity and gained significance in the last few decades, and there is a rising need for assessment literate stakeholders in the field of language education. As teachers play a major role in assessing students, there is a need to make sure they have the right level of assessment knowledge and skills to accomplish their duties as assessors. The present study sought to develop and validate an assessment literacy test. To this end, a thirty-five scenario-based Language Assessment Literacy Test (LALT) was developed based on the seven standards covered by the Standards for Teacher Competence in Educational Assessment of Students (1990). Construct validity of the test was investigated by collecting data from 168 Iranian EFL teachers. To investigate the validity of the measure, tests of reliability, item difficulty, and item discrimination were carried out. The test was then subjected to EFA (Exploratory Factor Analysis whose results showed a seven-factor solution for the test items. The implications of the study for EFL teachers, language testers, teacher trainers, and curriculum developers are discussed.

The book Practical Language Testing, authored by Glenn Fulcher (2010), is an epitome of comprehensive and detailed documentation on the relevance of the appropriate techniques, knowledge, and conceptual frameworks required to interpret and develop language assessments. It is also a systematic, helpful reference for researchers and educators that address assessment selection and design concerns, offering instructors guidance on picking the proper test for a particular educational setting and assisting in interpreting the scores generated by such tests. The book lays the groundwork for instructors to establish a thoughtful awareness of test scenarios to furnish the most efficient language assessment for their learners. The book's language is highly lucid and user-friendly to both experts and novices. The book finds an appropriate amalgamation between practical applications and theoretical underpinnings to empower practitioners in comprehending the objectives of effective assessment and its function in facilitating good learning and teaching. On account of the fact that the referenced book has the potential to make a substantial contribution and have significant implications for teachers, test designers, and other stakeholders, the current article attempts to provide a review of the book and emphasize the critical concepts in each chapter.

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 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.

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.

 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.

The present study scrutinized the probable significant correlation between Iranian language learners’ emotional intelligence (EQ) and reading proficiency. Moreover, the significant predicting role of the participants’ EQ for their reading comprehension proficiency was investigated. To this end, 196 Iranian B.A. English language teaching students at Islamic Azad university of Neyshabur attended the study. They formed unequal proportion of gender. The study followed a quantitative descriptive design, in which the significant correlation between the variables and the significant predicting role of EQ were investigated. As the normality of data was proved through Kolmogrow-smirnow test, the parametric statistical analyses, including descriptive statistics, Pearson correlation coefficient, independent sample T-test, and linear regression analyses were employed. The data collection instruments were an ETS TOEFL reading comprehension test and Bar On’s (1997) inventory of emotional quotient. The findings demonstrated significant positive correlation coefficients between the participants’ reading proficiency and overall EQ as well as most of its subcategories. Three highest positive significant correlation coefficients were seen among the participants’ reading proficiency level, happiness, problem-solving, and emotional self-awareness successively. The results of linear regression analysis also reflected that EQ significantly predicted the participants’ reading proficiency. No significant differences were found between the genders concerning EQ. The findings laid emphasis on the influential importance of psychological non-linguistic factors in improving linguistic competence of language learners. Language teachers should be acutely conscious of the highly influential role of psychological paradigms in boosting language learning process of language learners.