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Hamed Ghaemi; Zahra Khorsand – African Educational Research Journal, 2024
This study delves into writing scores in both tests, aiming to uncover the reasons behind score differences. Through comprehensive comparative analysis, this research explores scoring patterns, criteria, and score distributions in IELTS and PTE writing sections. It investigates sources of score variation, including task design, rating criteria,…
Descriptors: Comparative Analysis, Scores, Language Tests, Second Language Learning
Ying Zhang – Studies in Second Language Acquisition, 2023
A handful of second/foreign language (L2) studies have examined the effects of practice schedules and reported the advantage of interleaved practice (i.e., practice multiple skills simultaneously) over blocked practice (i.e., practice one skill first and then proceed to the next one). However, no studies in the realm of L2 pragmatics have explored…
Descriptors: Second Language Learning, Foreign Countries, English (Second Language), Learning Strategies
Ronald R. Kelly; Gerald P. Berent; Erin Finton; Tanya Schueler-Choukairi; Stanley Van Horn; Zhong Chen; Kimberly Persky; Susan Post Rizzo; Kathryn L. Schmitz – Journal of Deaf Studies and Deaf Education, 2025
College-level deaf and hard-of-hearing (DHH) students and hearing students of English as a Second Language (L2) along with hearing native speakers (NS) of English were assessed in their knowledge of English resultative and depictive sentences. In "Kevin wiped the table clean," the resultative phrase "clean" indicates that the…
Descriptors: Deafness, English (Second Language), Second Language Learning, Hard of Hearing
Sümeyra Tosun – Cognitive Research: Principles and Implications, 2024
Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…
Descriptors: Bilingualism, Turkish, English (Second Language), Second Language Learning
Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
Pearson, William S. – Language Testing, 2023
Many candidates undertaking high-stakes English language proficiency tests for academic enrolment do not achieve the results they need for reasons including linguistic unreadiness, test unpreparedness, illness, an unfavourable configuration of tasks, or administrative and marking errors. Owing to the importance of meeting goals or out of a belief…
Descriptors: High Stakes Tests, English (Second Language), Language Proficiency, Language Tests
Chanikarn Thatchatham; Nattama Pongpairoj – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study investigated how input frequency (i.e., type frequency and token frequency) and proficiency levels enhanced the perception of English nominal suffixes by first language (L1) Thai learners. Based on the Usage-based Account (Tomasello, 2003), it was hypothesized that input frequency, i.e., token frequency (frequency of derived forms…
Descriptors: Thai, Native Language, Language Proficiency, Linguistic Input
Farshad Effatpanah; Purya Baghaei; Mona Tabatabaee-Yazdi; Esmat Babaii – Language Testing, 2025
This study aimed to propose a new method for scoring C-Tests as measures of general language proficiency. In this approach, the unit of analysis is sentences rather than gaps or passages. That is, the gaps correctly reformulated in each sentence were aggregated as sentence score, and then each sentence was entered into the analysis as a polytomous…
Descriptors: Item Response Theory, Language Tests, Test Items, Test Construction
Satoru Uchida – Vocabulary Learning and Instruction, 2025
Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…
Descriptors: Vocabulary Development, Language Proficiency, Rating Scales, Guidelines
Khaled Ahmed AbdelAl Ibrahim; Yasha Rakhshani – Asian-Pacific Journal of Second and Foreign Language Education, 2024
In the current research, the impacts of portfolio assessment (PA) on the grit tendencies, motivation, and willingness to communicate (WTC) of Saudi Arabian EFL learners were examined. The population of this study was fifty-eight EFL learners who were assigned to two groups in order to accomplish this purpose. Following that, both groups were given…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Portfolio Assessment
Mohammad Ahmadi Safa; Fateme Motaghi – Language Teaching Research, 2024
Studies have documented the significance of scaffolding as a sociocultural theory driven type of assistance for the development of English as foreign language (EFL) learners' language skills in general; however, the comparative efficacy of various cognitive and/or metacognitive scaffolding procedures for EFL learners' listening comprehension…
Descriptors: Correlation, Listening Comprehension, English (Second Language), Second Language Learning
Suthathip Thirakunkovit – Language Testing in Asia, 2025
Establishing a cut score is a crucial aspect of the test development process since the selected cut score has the potential to impact students' performance outcomes and shape instructional strategies within the classroom. Therefore, it is vital for those involved in test development to set a cut score that is both fair and justifiable. This cut…
Descriptors: Cutting Scores, Culture Fair Tests, Language Tests, Test Construction
Hung, Luu Nguyen Quoc; Bao, Tran Le Quoc – Journal of Education and e-Learning Research, 2023
Online education has significantly gained popularity due to new technology and more importantly, the growing impact of the digitalization of the economy. Despite its prominent advantages such as accessibility, affordability and flexibility, the effectiveness of online education is still a constant debate and needs extensive investigations in…
Descriptors: Comparative Analysis, Instructional Effectiveness, Electronic Learning, In Person Learning
Carcamo, Benjamin – HOW, 2023
At the end of high school in Chile, it is expected that students achieve a B1 English language proficiency level. In the present article, we measure the level of readability of the texts used in the new EFL Chilean textbook and compare it with the readability level of the texts used in the Cambridge B1 preliminary exam to check its appropriacy.…
Descriptors: Readability, English (Second Language), Second Language Learning, Second Language Instruction
Toyese Najeem Dahunsi; Thompson Olusegun Ewata – Language Teaching Research, 2025
Multi-word expressions are formulaic language universals with arbitrary and idiosyncratic collocations. Their usage and mastery are required of learners of a second language in achieving naturalness. However, despite the importance of multi-word expressions to mastering a second language, their syntactic architecture and colligational…
Descriptors: Computational Linguistics, Discourse Analysis, English (Second Language), Second Language Learning