مطالب

This study sought to investigate how doctoral candidates are positioned by journal editors and reviewers and how they establish their own position while attempting to get published, as well as the challenges and opportunities they confront throughout this process. Data were gathered from two doctoral candidates at a public university employing a mixed-methods conversion design whose qualitative phase was a multiple case study. In-depth interviews, metalinguistic commentary, and document analysis were used to track the positioning patterns. Data analysis utilizing the Appraisal model revealed that doctoral candidates were perceived as novice researchers by journal editors and reviewers. In addition, doctoral candidates’ own positioning gradually shifted from being novice and intolerant researchers to being independent and tolerant ones. Moreover, the findings revealed that doctoral candidates face different challenges during the process of writing for publication, which makes this process more difficult for them. Based on the interviews, different requirements from different journals, obligations, limited sources of help, and lack of experience were among the most important challenges the participants had to deal with. On the other hand, they mentioned that publication provided them with the chance of expressing themselves and having their own voice, which could be considered as an opportunity in this process.

The significance of fairness in assessment is not a subject of doubt for educationalists even with fundamentally contrastive perspectives, but the study of methodological means for safeguarding this concept in educational classroom contexts has only received the scant attention of the researchers and educationalists. On this basis, this study intended to conceptualize foreign language (FL) classroom assessment fairness from EFL teachers' perspective. For this purpose and as a part of a larger enterprise, the researchers first strived for the creation and validation of a Classroom Assessment Fairness Scale (CAFS). This process was informed by the related literature and applied a critical incident technique. To verify the scale's validity and reliability, it was first expert viewed and modified accordingly; next pilot-tested on a group of 250 teachers, and finally, the amassed data were subjected to exploratory and confirmatory factorial analyses and internal consistency measures. The validated scale was taken by 120 Iranian EFL teachers. Descriptive analyses indicated that the EFL teachers were familiar with fairness principles in classroom assessment practices. They were aware of the significance of the opportunity to learn, the opportunity to demonstrate learning, the no-harm principle, the constructive classroom environment, and transparency as the constructive elements of classroom assessment practices' fairness. However, the same familiarity and awareness were not guaranteed for the score pollution component. The results further demonstrated that the teachers' gender, educational degree, teaching experience, and teaching context led to statistically significant differences among EFL teachers' attitudes to classroom assessment fairness.

This study aimed at evaluating PISA-like reading test developed by teachers participating in the teacher training for teaching PISA-like reading. To serve the purpose, an experimental test was administered to 107 students aged 15-16 using a set of text and questions constructed according to the criteria of PISA Reading test Level 1. Item analysis was performed following the sampling using Rasch Measurement, deemed essential for determining the ideal index of test items relative to students’ ability in making correct response. The component of the calculation comprises reliability, separation, dan standard error. The Rasch model was constructed manually using Microsoft Excel to obtain the result of the calculation, and a Wright Map was also made manually to illustrate the result of the calculation. The results of the item analysis indicated that the test and the items the teachers constructed have met good criteria. The results revealed an even distribution of test item difficulty at the targeted level. The samples’ ability to make correct answers, however, was decentralized towards the test items of moderate level of difficulty. Only a limited number of students have showed good ability in their response to test items of higher difficulty.

With the incremental integration of technology in writing assessment, technology-generated feedback has found its way to take further steps toward replacing human correcting and rating. Yet, further investigation is deemed necessary regarding its potential use either as a supplement to or replacement for human feedback. This embedded mixed-method research aims to investigate three groups of Iranian intermediate IELTS applicants who received automated, teacher, and blended (automated + teacher) feedback modes on different aspects of writing when practicing for the writing skill of IELTS. Furthermore, a structured written interview was conducted to explore learners’ perception (attitude, clarity, preference) of the mode of feedback they received. Findings revealed that students who received teacher-only and blended feedback performed better in writing. Also, the blended feedback group outperformed the others regarding task response, the teacher feedback group in cohesion and coherence, and the automated feedback group in lexical resource. The analysis of the interviews revealed that learners had high opinion regarding the clarity of all feedback modes and learners’ attitude about feedback modes were positive. However, they highly preferred the blended one. The findings suggest new ideas that can facilitate learning and assessing writing and recommend that teachers provide comprehensive, accurate, and continuous feedback as a means of formative assessment.

Diagnostic classification models (DCMs) have recently become very popular both for research purposes and for real testing endeavors for student assessment. A plethora of DCM models give researchers and practitioners a wide range of options for student diagnosis and classification. One intriguing option that some DCM models offer is the possibility of examining the nature of the interactions among the attributes underlying a skill. Attributes in second/foreign language (L2) may interact with each other in a compensatory/non-compensatory manner. Subskill/attribute relationship has been studied using diagnostic classification models. The present study provides a mini review of the DCM studies on the attribute relationships in L2 reading, listening, and writing. The criteria based on which interaction between the attributes have been inferred are reviewed. The results showed that the majority of DCM studies have investigated reading comprehension and more studies are required on the productive skills of writing and speaking. Furthermore, suggestions for future studies are provided.

Unidimensionality is an important assumption of measurement but it is violated very often. Most of the time, tests are deliberately constructed to be multidimensional to cover all aspects of the intended construct. In such situations, the application of unidimensional item response theory (IRT) models is not justified due to poor model fit and misleading results. Multidimensional IRT (MIRT) models can handle several dimensions simultaneously and yield person ability parameters on several dimensions which is helpful for diagnostic purposes too. Furthermore, MIRT models use the correlation between the dimensions to enhance the precision of the measurement. In this study a reading comprehension test is modelled with the multidimensional Rasch model. The findings showed that a correlated 2-dimensional model has the best fit to the data. The bifactor model revealed some interesting information about the structure of reading comprehension and the reading curriculum. Implications of the study for the testing and teaching of reading comprehension are discussed.