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Attention has been drawn to recent, expanding studies on Second Language (L2) online programs and problems with people with learning difficulties, including Attention Deficit Hyperactivity Disorder (ADHD). This group of learners suffers from feelings of detachment and low self-confidence due to their lack of Willingness to Communicate (WTC) in an online classroom. Thus, the current quasi-experimental study explored the impact of a supplementary intervention targeted at helping learners create, substantiate, and live up to their ideal L2 self-images on multivariate components of ADHD learners' WTC in online English classes. For this purpose, 29 Iranian ADHD learners selected through convenience sampling were divided into two equivalent groups based on their ADHD levels. The groups were then randomly assigned to an experimental (N = 15) and a control condition (N = 14). In the experimental group, the vision ignition intervention was integrated into a 10-week online English course, whereas the control group's learners received no vision-enhancement intervention throughout the course. The learners' WTC was measured through a standard psychometric survey at the outset and conclusion of the course. Multivariable Analysis of Covariance (MANCOVA) was conducted to determine whether a linear combination of the subcomponents resulted in significant differences between groups. Along with an overall significant between-group difference in WTC, the results revealed the intervention's significant impact on WTC's two subcomponents: communicative self-confidence and integrative orientation.

   COPYRIGHTS ©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publisher. This study set out to explore the efficacy of EFL teachers' digital literacy in improving language learners' speaking fluency and accuracy through the development of virtual languaculture tasks. To this end, 52 male and 68 female EFL teachers from different areas of Kurdistan province participated in the study by completing a digital literacy scale developed by Ng (2012). Moreover, three groups of teachers, 12 high and 12 low-digitally literate teachers who used virtual languaculture tasks and 10 teachers who used traditional teaching methods participated in semi-structured interviews, and their teachings were observed for 8 sessions. Besides, by conducting an IELTS speaking test, 121 male and 122 female EFL learners of the three groups of teachers were selected to participate in this study. After conducting 16-session treatments, a speaking test was used as the posttest.  The qualitative and quantitative data were analyzed via MAXQDA and SPSS. The results of one-way between-groups multivariate analysis of variance indicated the efficacy of the implementation of languaculture tasks in developing students' speaking fluency and accuracy. On the other hand, the qualitative phase of the study showed that being digitally literate influenced the development, implementation, variety, and complexity of languaculture tasks. Moreover, the attained results supported the superiority of the languaculture task as a mediator between instructors' digital literacy and learners' verbal ability. Accordingly, enhancing teachers' digital literacy and learners' critical languaculture awareness are suggested as useful strategies to improve language learners' speaking fluency and accuracy. 

This study set out to examine how stereotypes as social psychological phenomena are enacted in everyday discourse. Besides discussing how ingroups and outgroups are formed in mundane talk, it is argued that stereotypes are ideological constructs that are jointly achieved in social contexts. Moreover, it is assumed that the ways in which stereotypes are constructed and discussed in discourse are informed by a number of underlying moral conceptualizations which might justify the potential face-threatening acts and the impoliteness inherent in prejudiced talk targeted to a third party. The study is an ethnographic case study informed by an eclectic approach to the analysis of data so as to shed light on how the expression of thoughts and feelings are constructed as talk in ordinary social interactions unfolds and what these expressions achieve. The analyses revealed that the construction of outgroup stereotypes is a mutual accomplishment and possibly a face-threatening act moderated by mitigating discourse features

This study applied multi-faceted Rasch measurement to investigate the halo effect in the performance-based assessment of writing across rubric criteria. Five raters who had received specialized training applied a four-criteria rating rubric to analytically rate writing scripts on two argumentative topics. Facets, a Rasch computer program, was utilized to pinpoint the halo effect by analyzing rater and rubric criteria interactions. After examining the appropriateness of the rubric in terms of functionality, the results showed that except for one rater, the raters did not exhibit any sign of the halo effect across rubric criteria. Generally, the severity hierarchies for raters and difficulty levels for rubric criteria suggested that raters’ training and their perceptions of the importance of criteria were associated with their manifestation of the halo effect. Pedagogically, through a detailed facet analysis of interactions between raters and rubric criteria, rater trainers may better realize how to design effective training programs to minimize raters’ variance including the halo effect and improve the overall objectivity of human rating.

Measurement disturbances refer to any conditions that affect the measurement of some psychological latent variables, which result in an inaccurate interpretation of item or person estimates derived from a measurement model. Measurement disturbances are mainly attributed to the characteristics of the person, the properties of the items, and the interaction between the characteristics of the person and the features of the items. Although numerous researchers have detected measurement disturbances in different contexts, too little attention has been devoted to exploring measurement disturbances within the context of language testing and assessment, especially using graphical displays. This study aimed to show the utility of graphical displays, which surpass numeric values of infit and outfit statistics given by the Rasch model, to explore measurement disturbances in a listening comprehension test. Results of the study showed two types of outcomes for examining graphical displays and their corresponding numeric fit values: congruent and incongruent associations. It turned out that graphical displays can provide diagnostic information about the performance of test items which might not be captured through numeric values.

Measurement invariance (MI) refers to the degree to which a measurement instrument or scale produces consistent results across different groups or populations. It basically shows whether the same construct is measured in the same way across different groups, such as different cultures, genders, or age groups. If MI is established, it means that scores on the test can be compared meaningfully across different groups. To establish MI mostly confirmatory factor analysis methods are used. In this study, we aim to examine MI using the Rasch model. The responses of 211 EFL learners to the listening section of the IETLS were examined for MI across gender and randomly selected subsamples. The item difficulty measures were compared graphically using the Rasch model. Findings showed that except for a few items, the IELTS listening items exhibit MI. Therefore, score comparisons across gender and other unknown subgroups are valid with the IELTS listening scores.

The aim of this study was to investigate the role of green human resource management in realizing sustainable urban development in Kermanshah. This study is practical in terms of objective and descriptive-analytical method. The statistical population of this study includes all citizens of Kermanshah (N=946651). The sample size (N=384) was selected using stratified random sampling method. Research tools consisted of two questionnaires: Green human resource management and sustainable urban development (social, economic, environmental). Validity of the questionnaire was confirmed using formal and structural validity and its reliability was confirmed using Cronbach's alpha for the whole questionnaire by 0/81. Data were analyzed using regression test in SPSS software. . Overall, green human resource management had effect on urban sustainable development in Kermanshah. At a significant level of 0.001 green human resource management has significant positive impact on economic development, at a significant level of 0.000 green human resource management, and at a significant level of 0.003 green human resource management had a significant positive impact on environmental development.