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Dale Brown; Phil Bennett; Geoffrey Pinchbeck – Vocabulary Learning and Instruction, 2025
Knowledge of derivational affixes makes an important contribution to second language learners' success when reading. Yet while the effects of some learner variables (L2 proficiency, L1 background) have been investigated, there has been little research addressing the effects of varying characteristics of affixes on their acquisition. The goal of…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Morphemes
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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
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Ryo Maie; Wei Yi – Vocabulary Learning and Instruction, 2024
This brief report presents the results of a re-analysis of data by Yi, Man, and Maie (2023), who investigated L1 and L2 intuitive knowledge of phrasal frequency and collocation strength in multiword sequences. We utilized an individual-differences approach and examined which participant variables (age of onset, length of residence, language use,…
Descriptors: Native Language, Second Language Learning, Phrase Structure, Word Frequency
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Laura Vilkaite-Lozdiene; Algirdas Dinigevicius – Vocabulary Learning and Instruction, 2024
Previous research has shown that L1-L2 congruency is a facilitative factor in collocation processing. The present study explores the congruency effect between learners' L2 and L3. Thirty-three proficient Norwegian learners with Lithuanian as their L1 and English as their L2 completed a phase acceptability task consisting of three groups of…
Descriptors: Multilingualism, Phrase Structure, Norwegian, Second Language Learning
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Qiao Wang; Ralph L. Rose; Ayaka Sugawara; Naho Orita – Vocabulary Learning and Instruction, 2025
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…
Descriptors: Vocabulary Skills, Artificial Intelligence, Computer Software, Multiple Choice Tests