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Showing 1 to 15 of 33 results Save | Export
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Barno Sayfutdinovna Abdullaeva; Diyorjon Abdullaev; Feruza Abulkosimovna Rakhmatova; Laylo Djuraeva; Nigora Asqaraliyevna Sulaymonova; Zebo Fazliddinovna Shamsiddinova; Oynisa Khamraeva – Language Testing in Asia, 2024
Acquiring technological literacy and acceptance has a significant influence on academic emotion regulation (AER), academic resilience (AR), willingness to communicate (WTC), and academic enjoyment (AE), which are crucial for the success of university students. However, this area has not been adequately explored in research, particularly in the…
Descriptors: Technological Literacy, Emotional Response, Self Control, Resilience (Psychology)
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Liang Ye Tan; Stuart McLean; Young Ae Kim; Joseph P. Vitta – Language Testing in Asia, 2024
This study examines how second/foreign language (L2) word difficulty estimates derived from item response theory (IRT) and classical test theory (CTT) frameworks are virtually identical in the context of vocabulary testing. This conclusion is reached via a two-stage process: (a) psychometric assessments of both approaches and (b) L2 word…
Descriptors: Vocabulary, English (Second Language), Test Validity, Second Language Learning
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Roya Shoahosseini; Purya Baghaei; Hossein Khodabakhshzadeh; Hamid Ashraf – Language Testing in Asia, 2024
C-Test is a gap-filling test designed to measure first and second language proficiency. Over the past four decades, researchers have shown the fit of C-Test data to parametric item response theory (IRT) models, but no study so far has shown the fit of C-Tests to nonparametric IRT models. The purpose of this study is to contribute to the ongoing…
Descriptors: Item Response Theory, Nonparametric Statistics, Language Proficiency, Second Language Learning
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Khaled ElEbyary; Ramy Shabara; Deena Boraie – Language Testing in Asia, 2024
Despite the plethora of studies on the role of noticing in second language learning, little is known about the role of AI-operated feedback in noticing errors and uptake "during" and "after" writing. To address this gap, this study primarily aimed to investigate the impact of feedback modes and timing on L2 students' noticing…
Descriptors: Foreign Countries, Artificial Intelligence, Second Language Learning, English (Second Language)
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Kyung-Mi O. – Language Testing in Asia, 2024
This study examines the efficacy of artificial intelligence (AI) in creating parallel test items compared to human-made ones. Two test forms were developed: one consisting of 20 existing human-made items and another with 20 new items generated with ChatGPT assistance. Expert reviews confirmed the content parallelism of the two test forms.…
Descriptors: Comparative Analysis, Artificial Intelligence, Computer Software, Test Items
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Yumsek, Meltem – Language Testing in Asia, 2023
Various stakeholders, such as policymakers and educators, require diagnostic feedback and actionable test results. One particular context in which fine-grained test results are of utmost importance is English language proficiency (ELP) assessments as they are used for critical decisions for students. Diagnostic classification models (DCMs) afford…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Language Tests
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Ghaemi, Hamed – Language Testing in Asia, 2022
Listening comprehension in English, as one of the most fundamental skills, has an essential role in the process of learning English. Non-parametric item Response Theory (NIRT) is a probabilistic-nonparametric approach to item response theory (IRT) which determines the one-dimensionality and adaptability of test. NIRT techniques are a useful tool…
Descriptors: English (Second Language), Second Language Learning, Language Tests, Listening Comprehension Tests
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Yuichiro Yokouchi – Language Testing in Asia, 2025
The performance decision tree (PDT; Fulcher et al., 2011) is a rubric style that is applicable to performance assessment, with origins in Upshur and Turner's (1995) empirically derived binary-choice, boundary-definition (EBB) scale. It is easier for raters to assess performance by evaluating multiple binary-choice descriptors. Additionally,…
Descriptors: Scoring Rubrics, Second Language Learning, Second Language Instruction, Language Teachers
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Jahara, Syed Farhat; Hussain, Mudassir; Kumar, Tribhuwan; Goodarzi, Ahmad; Assefa, Yalalem – Language Testing in Asia, 2022
While several studies have addressed the interconnections between self-assessment and academic stress, much uncertainty still exists about the mediating role of coping styles in this interplay. Therefore, this research aimed to determine the mediating role of coping styles in the relationship between the core of self-assessment and academic…
Descriptors: Self Evaluation (Individuals), English Language Learners, Coping, Stress Variables
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Samaneh Ghaneiarani; Sayyed Mohammad Alavi; Shiva Kaivanpanah – Language Testing in Asia, 2024
Despite the widespread use of Learner-Oriented Assessment (LOA) in (English as a Foreign Language EFL classes, concerns persist regarding its suitability for contexts such as Iran. Drawing on Carless's (SHE, 31:219-233, 2006) criteria for LOA, the present study examined the effectiveness of peer and teacher feedback in an academic writing course.…
Descriptors: Writing Ability, Student Centered Learning, Second Language Learning, English (Second Language)
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Patra, Indrajit; Alazemi, Asmaa; Al-Jamal, Dina; Gheisari, Asma – Language Testing in Asia, 2022
Although corrective feedback (CF) has been studied, more studies still need to be conducted on this variable to check its effects on language learning. Therefore, this study aimed to investigate the effectiveness of teachers' written and verbal CF during the formative assessment (FA) on English as a foreign language (EFL) learners' academic…
Descriptors: Feedback (Response), Error Correction, Formative Evaluation, English (Second Language)
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Ghaemi, Hamed – Language Testing in Asia, 2022
Listening comprehension in English, as one of the most fundamental skills, has an essential role in the process of learning English. Mokken scale analysis (MSA) is a probabilistic-nonparametric approach to item response theory (IRT) which determines the one-dimensionality and scalability of test. Mokken scaling techniques are a useful tool for…
Descriptors: Second Language Learning, English (Second Language), Nonparametric Statistics, Item Response Theory
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Moradi, Elahe; Ghabanchi, Zargham; Pishghadam, Reza – Language Testing in Asia, 2022
Given the significance of the test fairness, this study aimed to investigate a reading comprehension test for evidence of differential item functioning (DIF) based on English as a Foreign Language (EFL) learners' gender and their mode of learning (conventional vs. distance learning). To this end, 514 EFL learners were asked to take a 30-item…
Descriptors: Reading Comprehension, Test Bias, Test Items, Second Language Learning
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Talebinamvar, Mobina; Zarrabi, Forooq – Language Testing in Asia, 2022
Feedback is an essential component of learning environments. However, providing feedback in populated classes can be challenging for teachers. On the one hand, it is unlikely that a single kind of feedback works for all students considering the heterogeneous nature of their needs. On the other hand, delivering personalized feedback is infeasible…
Descriptors: Feedback (Response), Writing Evaluation, Writing (Composition), Learning Analytics
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Bahman Ebrahimi; Saman Ebadi – Language Testing in Asia, 2024
Screencast technology in English writing assessment offers personalized, detailed feedback, but not dialogic. However, integrating it with ipsative assessment (IA) principles may sustain conversations between teachers and learners on students' writing development. This study explored the impact of screencast-based ipsative assessment (SIA) on…
Descriptors: Video Technology, Educational Technology, Student Evaluation, English (Second Language)
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