درخت حوزه‌های تخصصی

In the present study, we analyze the semantic fragmentation and conventionalization in Persian compound nouns ending in the verbal stems –andāz ‘throw’, -band ‘fasten/close,’ -foruš ‘sell’, -gir ‘catch’, -keš ‘pull’, -paz ‘cook’, -yāb ‘find’, and -zan ‘hit’ from the usage-based perspective. The analysis is based on a 800 data set extracted from diachronic and synchronic corpora. The words produced from the general compounding pattern [XV PRS]N can be categorized in a range of semantic categories, including agent, instrument, location, and object. In describing the semantic fragmentation of [XV PRS]N, we propose the human agent as the starting meaning, from which the instrument sub-pattern is derived by the mechanism of metaphorical extension. However, to justify the object and location meanings, we consider the metonymic extension mechanism to be involved. The sense extension mechanisms do not only apply to the individual words but can happen on the pattern level. It is also argued that these mechanisms are not mechanically applied to all the patterns ending in the verbal stems, instead, it is the usage and the communicative needs of the speakers that determine the semantic fragmentation of any patterns. To illustrate this point, as a case study, we focus on the development of instrument meaning in the pattern [X-paz PRS]N. We show that the instrument sub-pattern is a recent linguistic phenomenon that coincides with the introduction of modern cooking equipment with mostly English names to Iranian society. The increasing use of these types of equipment has led to a new communicative need for naming such instruments. This extra-linguistic factor has motivated the pattern [X-paz PRS]N to be extended through analogy with English compound instrument nouns. The findings of this study may contribute to the understanding of word-formation patterns in general and compounding patterns in particular.

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.

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.

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.

It is assumed that web-based dynamic assessment will continue to thrive and have a profound role in pedagogy. In this regard, explanatory sequential mixed-methods design was selected to consider the effect of web-based dynamic assessment on learners' autonomy. To this end, a sample of 60 male EFL learners at high school were chosen at non-random and categorized into two groups of web-based dynamic assessment and the control group based on the convenience sampling method. the learners’ autonomy questionnaire was used as a data gathering tool for pretest and posttest in autonomy. The high school students exposed to web-based DA via a designed web based on the level and requirements of the students in grammar, however, the learners in the control group learned the grammar by the traditional or conventional method of instruction. Based on the results of Mann-Whitney U test, the learners’ autonomy means scores in web-based DA increased in comparison to those of the control group. The platform and methods employed in this study produce results that are encouraging for the field of language instruction and could produce motivational outcomes in the future. The pedagogical implications of the study

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.

PhD examination is a unique type of assessment with examiners playing a key role in it. Despite extensive research on various modes of academic genre, research on the examiners’ language representing oral review genre is yet underrepresented. One important way to identify this genre is to unpack the metadiscursive features that constitute this type of academic discourse. Using a metadiscourse framework, developed by Hyland (2005), this study investigates the metadiscursive markers that constitute Iranian and International examiners’ language of PhD dissertation evaluation. The data include the transcriptions of Iranian and International examiners’ evaluative discourse in eight PhD dissertation defenses, taken place in Iran and the US (MICASE corpus), representing English for Academic Purposes. The results indicate that the examiners use a variety of interactional as well as interactive metadiscourse markers to convey the effective and appropriate evaluation of the PhD dissertations at hand. Further breakdown of the metadiscourse devices and the comparison of the two sets of data are provided. The results unpack an aspect of oral academic review as a specific genre with implications for both EAP-user examiners and PhD candidates to become aware of the discursive features of the examiners language.

The current study primarily explored the link between EAP students’ L2 situational interest (SI) and academic reading transformative engagement (TE). Moreover, it explored SI and its subcomponents, triggered SI and maintained SI as predictors of TE. We also sought the role of different disciplines as moderators of the relationship between SI and TE. Finally, we investigated the big five personality traits as predictors of TE. The participants of this study were 160 undergraduate EAP students recruited through quota sampling. A quantitative research method with a correlational design was employed to conduct the study. Two questionnaires were adopted to measure academic reading TE and personality traits, and a questionnaire was adapted from math SI to English learning SI to assess the students’ L2 SI. The results revealed a significant and positive relationship between students’ L2 SI and their academic reading TE. SI significantly predicted TE, and between its subcomponents, only maintained SI strongly and significantly predicted TE. Neither the difference between the disciplinary groups in terms of students’ TE nor the interaction of the comparative disciplinary groups by SI was significant. The result indicated the agreeableness trait as the sole predictor of TE. Our findings have fruitful pedagogical implications discussed in the conclusion section.

 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.