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Dave Kush; Anne Dahl; Filippa Lindahl – Second Language Research, 2024
Embedded questions (EQs) are islands for filler--gap dependency formation in English, but not in Norwegian. Kush and Dahl (2022) found that first language (L1) Norwegian participants often accepted filler-gap dependencies into EQs in second language (L2) English, and proposed that this reflected persistent transfer from Norwegian of the functional…
Descriptors: Transfer of Training, Norwegian, Native Language, Grammar
Mingying Zheng – ProQuest LLC, 2024
The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…
Descriptors: Artificial Intelligence, Computational Linguistics, Language Tests, English (Second Language)
Bronson Hui – ProQuest LLC, 2021
Vocabulary researchers have started expanding their assessment toolbox by incorporating timed tasks and psycholinguistic instruments (e.g., priming tasks) to gain insights into lexical development (e.g., Elgort, 2011; Godfroid, 2020b; Nakata & Elgort, 2020; Vandenberghe et al., 2021). These timed sensitive and implicit word measures differ…
Descriptors: Measures (Individuals), Construct Validity, Decision Making, Vocabulary Development
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Lim, Hyojung – Language Testing in Asia, 2020
The current study aims to explore the cognitive validity of the iBT TOEFL reading test by investigating test takers' eye movements on individual items. It is assumed that successful test takers would adopt the intended reading processes, the same types and levels of cognitive processes that they would use for real-world reading tasks. Forty-seven…
Descriptors: Test Validity, High Stakes Tests, Second Language Learning, Language Tests
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Yi, Yeon-Sook – Language Testing, 2017
The present study examines the relative importance of attributes within and across items by applying four cognitive diagnostic assessment models. The current study utilizes the function of the models that can indicate inter-attribute relationships that reflect the response behaviors of examinees to analyze scored test-taker responses to four forms…
Descriptors: Second Language Learning, Reading Comprehension, Listening Comprehension, Language Tests
Çetinavci, Ugur Recep; Öztürk, Ismet – Online Submission, 2017
Pragmatic competence is among the explicitly acknowledged sub-competences that make the communicative competence in any language (Bachman & Palmer, 1996; Council of Europe, 2001). Within the notion of pragmatic competence itself, "implicature (implied meanings)" comes to the fore as one of the five main areas there (Levinson, 1983).…
Descriptors: Test Construction, Computer Assisted Testing, Communicative Competence (Languages), Second Language Instruction
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Zufferey, Sandrine; Gygax, Pascal M. – Discourse Processes: A multidisciplinary journal, 2016
Previous research has suggested that some discourse relations are easier to convey implicitly than others due to cognitive biases in the interpretation of discourse. In this article we argue that relations involving a perspective shift, such as confirmation relations, are difficult to convey implicitly. We assess this claim with two empirical…
Descriptors: Role, Perspective Taking, Discourse Analysis, French
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Gutl, Christian; Lankmayr, Klaus; Weinhofer, Joachim; Hofler, Margit – Electronic Journal of e-Learning, 2011
Research in automated creation of test items for assessment purposes became increasingly important during the recent years. Due to automatic question creation it is possible to support personalized and self-directed learning activities by preparing appropriate and individualized test items quite easily with relatively little effort or even fully…
Descriptors: Test Items, Semantics, Multilingualism, Language Processing
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Chapelle, Carol A.; Chung, Yoo-Ree – Language Testing, 2010
Advances in natural language processing (NLP) and automatic speech recognition and processing technologies offer new opportunities for language testing. Despite their potential uses on a range of language test item types, relatively little work has been done in this area, and it is therefore not well understood by test developers, researchers or…
Descriptors: Test Items, Computational Linguistics, Testing, Language Tests