| 研究課題/領域番号 |
18K00835
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| 研究機関 | 神戸市外国語大学 |
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研究代表者 |
立木 ドナ 神戸市外国語大学, 外国語学部, 教授 (80347517)
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| 研究分担者 |
ZENUK西出 Lori 神戸市外国語大学, 外国語学部, 教授 (30453145)
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| 研究期間 (年度) |
2018-04-01 – 2022-03-31
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| キーワード | ELF / Corpus / MUN |
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| 研究実績の概要 |
In 2020, we continued to collect, compile and transcribe data throughout the distinct phases of MUN simulations: 1) alliance building, 2) working paper group formation, 3) resolution editing. The corpus must continue to grow until it is considered sufficient for meaningful analysis. In order to grow the corpus, we have turned to recording online interactions and MUN training session in which student leaders are the mentors where feasible.
We also began to develop teaching materials and strategies based directly on observations in the evolving corpus and best practice suggestions from other MUN trainers and then evaluate their effectiveness in a series of teacher/trainer feedback workshops. We have made adjustments to materials that were field tested in Florence, Italy with high school students in 2019. The researchers have also disseminated high quality teaching materials in workshops to MUN teachers/trainers at junior/senior high school and tertiary levels.
Due to the COVID19 pandemic, many of our opportunities to share research were canceled (which is likely the case for many other scholars). Therefore we focused on preparing a book with Cambridge Scholars Publishing which is now in preparation.
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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
Because of the pandemic, all of the face to face events that would have been good data-collection sources were cancelled. Initially we had not data sources but we eventually were able to access data collection capabilities in some of the online MUN events. One positive thing is that the time could be spent continuing to transcribe previously collected video materials.
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| 今後の研究の推進方策 |
During 2021, the researchers will continue tagging and analyzing data of MUN spoken interactions using both qualitative and quantitative analysis tools, including Antconc 2.0 software. The initial work will be descriptive since the pioneering work on VOICE (upon which this corpus is modeled) cautions that “qualitative studies with a strong ethnographic element” (Seidlhofer, Breiteneder and Pitzl (2006, p. 21) are prudent.
We will also continue to develop teaching materials and strategies based directly on observations in the evolving corpus and best practice suggestions from other MUN trainers and then evaluate their effectiveness in a series of teacher/trainer feedback workshops.
The researchers will share research results at international and regional conferences (e.g., AsiaTEFL, IPrA, JALT) as well as in an international research session at the host university (KCUFS).
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| 次年度使用額が生じた理由 |
The COVID19 pandemic made it impossible to travel to present findings, thus negating major projected expenses. Assuming that international travel can resume (and that there is no jeopardy to returning and entering Japan) several research conference presentations will be done in the fall of 2021.
Another delay in use of funding regarded the transcriptions of data. Initially we were not able to continue data collection because the COVID19 pandemic caused the cancellation fo the events central to data collection. Later in the year when online events started becoming feasible we found ways to resume data collection. Since we have started to resume data collection we can also hire transcription assistants to do some initial work.
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