Spoken and Written Vocabulary in High-stakes Assessments: The Impact of Lexical Choices at Different IELTS Proficiency Levels.
Project/Area Number |
21K00669
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 02100:Foreign language education-related
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Research Institution | Eikei University of Hiroshima (2022) Hiroshima Jogakuin University (2021) |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
CLENTON JONATHAN 広島大学, 人間社会科学研究科(総), 准教授 (80762434)
ブルックス ギャビン 関西学院大学, 総合政策学部, 講師 (10610818)
Fraser Simon 広島大学, 外国語教育研究センター, 教授 (10403510)
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Project Period (FY) |
2021-04-01 – 2024-03-31
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Project Status |
Granted (Fiscal Year 2022)
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Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2022: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2021: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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Keywords | productive vocabulary / lexical diversity / multiword units / vocabulary / IELTS / lexical density / pedagogic word-lists / corpus |
Outline of Research at the Start |
The aim of the project is to produce a large-scale corpus of student generated texts of academic English, in order to understand the written and spoken vocabulary requirements of different IELTS levels. Participants will number over 1400 L2 post-graduates studying at a large UK university.
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Outline of Annual Research Achievements |
The corpus analysis has led to talks at 2 international conferences, a published paper and a PhD thesis. Our current findings are that Lexical Diversity (LD) measures predict the IELTS bands of hand-marked essays, but the LD of spoken transcripts do not predict IELTS bands. Also, when counting words, it makes a difference if you count words as lemmas, flemmas or word families.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
We had intended to collect a little more data by this point, unfortunately due to the QMUL pre-sessional 2022 course still being online (due to Covid19) we could only collect an additional 105 sets of written and spoken data to add to the database. This means that we will need to collect one more batch of data in September 2023 to have a satisfactory sample size with which to fully test our various hypothesis'. Despite not having quite as much data to work with (as initially anticipatated) we completed some analysis and were able to present this at conferences and also publish a paper in a journal.
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Strategy for Future Research Activity |
We plan to collect more data from Queen Mary University of London pre-sessional students in September 2023. We also expect to present our findings at a large international conference (Vocab@Vic New Zealand December 2023) and then publish more of our findings in high-impact journals.
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Report
(2 results)
Research Products
(10 results)