研究課題/領域番号 |
23K00670
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研究種目 |
基盤研究(C)
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配分区分 | 基金 |
応募区分 | 一般 |
審査区分 |
小区分02100:外国語教育関連
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研究機関 | 筑波大学 |
研究代表者 |
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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研究分担者 |
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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研究期間 (年度) |
2023-04-01 – 2027-03-31
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研究課題ステータス |
交付 (2023年度)
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配分額 *注記 |
3,900千円 (直接経費: 3,000千円、間接経費: 900千円)
2026年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2025年度: 520千円 (直接経費: 400千円、間接経費: 120千円)
2024年度: 390千円 (直接経費: 300千円、間接経費: 90千円)
2023年度: 2,080千円 (直接経費: 1,600千円、間接経費: 480千円)
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キーワード | scoring algorithm / learner engagement / learner burden / language learning / clinical communication / learning app / communication skills / EFL |
研究開始時の研究の概要 |
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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研究実績の概要 |
As stated in the Purpose of the Research section, the app which is to be developed through this project uses a completely different architecture from existing language learning apps and thus requires finetuning of the assessment component (the algorithm). In AY2023, we have determined that this component has to fulfill two requirements pulling in opposing directions: (1) the algorithm must be complex enough to allow scoring of any utterance which could be interpreted as conveying the desired meaning; (2) the algorithm must be simple enough to minimize burdening the learner with information in order to ensure continued engagement. In practice, this has required extensive discussions with the programmer to devise solutions which offer an optimal balance.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
Progress was made in completing the goals set for FY2023 as follows: (1) creation of the medical interview scripts: Completed (2) development of matching algorithm and app: Pending (3) student data collection (traditional study method): Partially completed. Regarding (2): The first version of the app/algorithm was supposed to be ready by March 2024 but got delayed because of difficulties in creating the algorithm program. Regarding (3): Student data collection (baseline) was carried out at the principal investigator's institution but had to be aborted at two co-investigators' institutions. This was because one co-investigator will move to another institution during AY2024, while the other co-investigator has not been able to obtain approval from his institution to collect student data.
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今後の研究の推進方策 |
Regarding (2): The timetable for app/algorithm creation has been revised as follows: First version of app/algorithm completed by August 2024 and avaiable to students from the fall of 2024. Rergarding (3): Student data collection will be limited to two institutions (University of Tsukuba and IUHW students). Data for AY2023 and AY2024 will constitute baseline (pre-intervention) data, while data collected for AY2025 and AY2026 will constitute post-intervention data.
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