| Project/Area Number |
23K00670
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 02100:Foreign language education-related
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| Research Institution | University of Tsukuba |
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Principal Investigator |
フロレスク コスミン 筑波大学, 医学医療系, 助教 (00788250)
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| Co-Investigator(Kenkyū-buntansha) |
Rogers James 名城大学, 外国語学部, 准教授 (50533527)
押味 貴之 国際医療福祉大学, 医学部, 准教授 (60526177)
宮増 フラミニア 筑波大学, 医学医療系, 准教授 (90289794)
MAYERS THOMAS 筑波大学, 医学医療系, 助教 (70776179)
勝山 ビタリー 川崎医療福祉大学, 医療福祉マネジメント学部, 助教 (40807666)
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| Project Period (FY) |
2023-04-01 – 2027-03-31
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| Project Status |
Granted (Fiscal Year 2024)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2026: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2025: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2024: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2023: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | medical vocabulary / clinical communication / learning app / medical English / scoring algorithm / learner engagement / learner burden / language learning / communication skills / EFL |
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| Outline of Research at the Start |
This study will analyze the efficacy of Japanese medical students learning how to communicate in English in a given scenario using a speech-recognition-based app. The efficacy of the newly developed app will be compared against the efficacy of learning by studying printed/electronic materials.
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| Outline of Annual Research Achievements |
The app has been made available to students and we are currently collecting data regarding app usage. In the original proposal, we planned to present preliminary results in 2025 at domestic conferences. Due to the delay in app development, we carried out complementary research on medical vocabulary and published 2 articles in peer-reviewed journals describing common medical English vocabulary items:
Florescu, Cosmin Mihail, and Ryosuke L. Ohniwa. 2025. "On the creation of a corpus-derived medical multi-word term list" Information 16, no. 2: 118. https://doi.org/10.3390/info16020118
Florescu, Cosmin Mihail, and Ryosuke L. Ohniwa. 2025. "On the replicability of corpus-derived medical word lists" Applied Corpus Linguistics (in press): 100130. https://doi.org/10.1016/j.acorp.2025.100130
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| Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
Progress was made in completing the goals set for FY2024 as follows:
(1) creation of the medical interview scripts: Completed
(2) development of matching algorithm and app: Completed
(3) student data collection (traditional study method + app study method): Ongoing.
(4) experiment implementation (app study method): Ongoing
Regarding (2): The first version of the app is now available and has been shared with the students who gave consent. Regarding (3): Student data is being collected at the principal investigator's institution. Regarding (4): The experiment (introducting the option to study with the app) is now ongoing but has been delayed by one-year compared to the original schedule.
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| Strategy for Future Research Activity |
Regarding (3): The first version of app/algorithm is now avaiable to students (from April 2025).
Rergarding (4): Student data collection will be limited to the principal investigator's institution (University of Tsukuba). Data for AY2023 and
AY2024 will constitute baseline (pre-intervention) data, while data collected for AY2025 and AY2026 will constitute post-intervention data.
The lack of student data from other institutions may affect the generalizability of findings regarding the app's efficacy.
On the other hand, we have carried out extensive research on medical vocabulary to refine the scripts used in the app and published 2 articles on this topic. To make up for the delay, we will present domestically our research on medical vocabulary at 2 conferences in 2025.
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