| 研究課題/領域番号 |
22K00700
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| 研究種目 |
基盤研究(C)
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| 配分区分 | 基金 |
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| 応募区分 | 一般 |
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| 審査区分 |
小区分02100:外国語教育関連
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| 研究機関 | 広島大学 |
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研究代表者 |
Hougham Daniel 広島大学, 外国語教育研究センター, 准教授 (10829352)
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| 研究分担者 |
CLENTON JONATHAN 広島大学, 人間社会科学研究科(総), 准教授 (80762434)
内原 卓海 東北大学, 国際文化研究科, 講師 (10905847)
Higginbotham George 叡啓大学, ソーシャルシステムデザイン学部, 准教授 (20885090)
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| 研究期間 (年度) |
2022-04-01 – 2026-03-31
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| 研究課題ステータス |
交付 (2024年度)
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| 配分額 *注記 |
4,160千円 (直接経費: 3,200千円、間接経費: 960千円)
2024年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2023年度: 2,080千円 (直接経費: 1,600千円、間接経費: 480千円)
2022年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
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| キーワード | L2 oral fluency / lexical bundles / multi-word sequences / learner-corpus research / oral fluency / oral proficiency / multiple regression / random forests analysis / dominance analysis / multiword sequences / learner corpus research / Oral fluency / Multiword sequences / Vocabulary / Testing / High-stakes assessments |
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| 研究開始時の研究の概要 |
The present study partially replicates and builds on Tavakoli and Uchihara (2019) with analyses of longer (four-word) sequences and a larger sample size (N = 200+) across a broader range of proficiency levels. We intend to explore the extent to which MWS use (proportion, frequency, and association) is associated with oral fluency measures (speed, breakdown, and repair) across different academic disciplines and proficiency levels (IELTS levels 5.5-7.5). We also explore how MWS usage varies in terms of function by detailing which MWSs are needed at specific IELTS proficiency levels.
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| 研究実績の概要 |
We have completed the third phase of analyzing the relationship between lexical bundle (LB) use and oral fluency. We collected and analyzed additional data that enabled us to investigate the LB-fluency relationship with a larger sample size (N=181) across five proficiency levels (IELTS 6 to 8). Employing robust regression, dominance analysis, and random forests, we confirmed that bigram mutual information (MI) strongly predicts higher proficiency levels. We also confirmed that longer LBs enhance speed fluency and reduce mid-clause pauses, highlighting their unique processing efficiencies. Shorter LBs (bigram MI) were linked to fewer mid-clause pauses, while trigram MI were linked to increased mid-clause pausing, perhaps due to greater processing demands.
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| 現在までの達成度 |
現在までの達成度
2: おおむね順調に進展している
理由
To date, we have presented our results at eight international conferences, including Vocab@Vic 2023 in New Zealand and the recent BAAL TEASIG 2024 in Oxford. We published a pilot study in a top-tier journal (System) and published a paper in another impact factor journal (Languages). We have one other manuscript currently under review.
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| 今後の研究の推進方策 |
In the near future, we plan to present at Vocab@Maryland 2025 (in Maryland, USA) in June 2025, and prepare an additional manuscript for submission to another top-tier journal.
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