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Hitoshi Nishizawa – Language Testing, 2024
Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…
Descriptors: High Stakes Tests, Language Tests, Second Language Learning, Computer Assisted Testing
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Ahmet Can Uyar; Dilek Büyükahiska – International Journal of Assessment Tools in Education, 2025
This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
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Huu Thanh Minh Nguyen; Nguyen Van Anh Le – TESL-EJ, 2024
Comparing language tests and test preparation materials holds important implications for the latter's validity and reliability. However, not enough studies compare such materials across a wide range of indices. Therefore, this study investigated the text complexity of IELTS academic reading tests (IRT) and IELTS reading practice tests (IRPrT).…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Readability
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Mohamad Javad Baghiat Esfahani; Saeed Ketabi – Journal of Applied Research in Higher Education, 2024
Purpose: This study attempts to evaluate the effect of the corpus-based inductive teaching approach with multiple academic corpora (PICA, CAEC and Oxford Corpus of Academic English) and conventional deductive teaching approach (i.e., multiple-choice items, filling the gap, matching and underlining) on learning academic collocations by Iranian…
Descriptors: Computational Linguistics, Teaching Methods, Advanced Students, English (Second Language)
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Sun, Xiaoya; Hu, Guangwei – Language Teaching Research, 2023
This article reports on an experimental study that set out to investigate and compare the effectiveness of a direct and an indirect approach to data-driven learning (DDL) in facilitating Chinese learners' mastery of a challenging type of lexico-grammatical resource (i.e. hedges) in an undergraduate English-as-a-foreign-language (EFL) writing…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Second Language Instruction
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Liao, Linyu – English Language Teaching, 2020
As a high-stakes standardized test, IELTS is expected to have comparable forms of test papers so that test takers from different test administration on different dates receive comparable test scores. Therefore, this study examined the text difficulty and task characteristics of four parallel academic IELTS reading tests to reveal to what extent…
Descriptors: Second Language Learning, English (Second Language), Language Tests, High Stakes Tests
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Zhao, Ting; Ren, Juan – Language Learning Journal, 2019
The present study aims to investigate the effects of gloss use, L2-gloss frequency and learner proficiency on incidental L2 lexical acquisition. A total of 163 university students in China were assigned to one of the three reading conditions: no gloss (NG), higher frequency L2 gloss (HFLG) and lower frequency L2 gloss (LFLG). The participants read…
Descriptors: Incidental Learning, Second Language Learning, Second Language Instruction, Recall (Psychology)
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Cotos, Elena; Link, Stephanie; Huffman, Sarah – Language Learning & Technology, 2017
To better understand the promising effects of data-driven learning (DDL) on language learning processes and outcomes, this study explored DDL learning events enabled by the Research Writing Tutor (RWT), a web-based platform containing an English language corpus annotated to enhance rhetorical input, a concordancer that was searchable for…
Descriptors: Data, Computer Assisted Instruction, Mixed Methods Research, Graduate Students