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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.

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.

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.

This paper presents a critical evaluation of the English Test for International Communication (ETIC), a large-scale, computer-based, and criterion-referenced English language proficiency test developed by the China Language Assessment in 2016. The ETIC test battery comprises five categories: Basic, Intermediate, Advanced, Superior, and Translation, with the goal of assessing test-takers’ oral and written communicative language abilities in workplace contexts. Given that a revised version of ETIC with many structural changes has been in use since 2021, and the recent growth of interest in assessing communicative language abilities, a critical review of ETIC is warranted. Drawing on Kunnan’s (2018) recent model of test fairness and justice, this review primarily evaluates the usefulness and fairness of ETIC Basic, ETIC Intermediate, and ETIC Advanced. Appraisals reveal that ETIC encompasses the philosophy of fairness, justice, and usefulness in the development, administration, and scoring procedures. There is, however, room for improvement in various areas, such as establishing a test inquiry and appeal service and keeping the channels of communication open. As reviewers, we hope this article will assist language testing researchers and practitioners, teachers and students, or even potential test-takers in better understanding the unique ETIC assessment scene in China and spark more discussions about communicative language testing worldwide.

Crowdsourcing Translation as a Post-Editing Method (CTPE) has emerged as a rapid and inexpensive method for translation and has drawn significant attention in recent years. This qualitative study aims to analyze and synthesize the approaches and aspects underpinning CTPE research and to identify its potential that is yet to be discovered. Through a systematic literature review focused on empirical papers, we examined the limited literature thematically and identified recurring central themes. Our review reveals that the topic of CTPE requires further attention and that its potential benefits are yet to be fully discovered. We discuss the eight core concepts that emerged during our analysis, including the purpose of CTPE, CTPE areas of application, ongoing CTPE processes, platform and crowd characteristics, motivation, CTPE domains, and future perspectives. By highlighting the strengths of CTPE, we conclude that it has the potential to be a highly effective translation method in various domains.

Much has been done on assessment literacy (AL) components and job demand-resources (JD-R). However, an interdisciplinary look at AL components as the predictors of JD-R and its possible consequences in the engagement and burnout of teachers’ assessment performance has been neglected. To fill this gap, the present study explored this issue in the context of Iran. To this end, through convenience sampling, 146 Iranian EFL teachers were selected to answer questionnaires on AL, JD-R, burnout and engagement. A series of multiple regression analyses were run to analyze the collected data. The results showed that some components of AL such as test construction, administering, rating, and interpreting test, psychometric properties of a test, using and interpreting statistics and authenticity were significant predictors of job demand. Moreover, the results revealed that alternative and digital-based assessment, recognizing test type, distinction and function, and authenticity were significant predictors of job resource. Furthermore, test construction, administering, rating, and interpreting test, psychometric properties of a test, and using and interpreting statistics could significantly predict teachers’ burnout. In addition, alternative and digital-based assessment, giving feedback in assessment, and ethical and cultural considerations in assessment turned out to significantly predict teachers’ engagement. These findings can have theoretical and practical implications for stakeholders.

The present study addressed the effects of cognitive styles on answer-switching practices across online and traditional tests. After completing Ehrman and Leaver’s (2003) cognitive style questionnaire, a sample of upper intermediate students took pen-paper and online versions (59 test-takers each) of an already validated teacher-developed test of English. The data from think-aloud and erasure analyses revealed significantly more frequent total and right-to-wrong changes in the traditional and online tests, respectively. Multiple regression values explained more than 50% of right/wrong-to-wrong, wrong-to-right, and overall answer-changing variance based on cognitive styles in the pen-paper exam. However, the regression results from online performance analyses could not prove the power of thinking styles in predicting answer-changing strategies. Fisher’s exact tests showed significantly different answer-changing strategies adopted by field-dependent, leveler, analog, concrete, and impulsive individuals in the traditional test but no significant differences between the behaviors of individuals with different cognitive styles in the online exam. Based on the present findings, online and pen-paper platforms may require different test-taking strategies. Language instructors and test developers can use these findings to align their instructional and assessment practices with various cognitive styles and testing environments.