2022 Fiscal Year Final Research Report
Development of AI teaching materials for numerical experiments on meteorological phenomena in science at junior high schools using the JMA forecast model for disaster prevention education
| Project/Area Number |
20H01666
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 09040:Education on school subjects and primary/secondary education-related
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| Research Institution | Iwate University |
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Principal Investigator |
Nagoshi Toshiyuki 岩手大学, 研究支援・産学連携センター, 特任教授 (10527138)
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| Co-Investigator(Kenkyū-buntansha) |
伊藤 純至 東北大学, 理学研究科, 准教授 (00726193)
久坂 哲也 岩手大学, 教育学部, 准教授 (00779944)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 数値実験 / 防災教育 / 環境教育 / 情報教育 / 気象シミュレーター / 感度実験 / 気象教育 / AIプログラム |
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| Outline of Final Research Achievements |
The completed "AI CReSS" SD memory package, a weather simulator for science education, contains daily weather maps and AMeDAS data (JMA) for each location, and initial and boundary value data from the JMA can be obtained and run online when setting up numerical experiments. Three new features: (1) Disaster case selection allows numerical simulations based on JMA's "weather cases that caused disasters. (2) AI disaster selection: AI performs principal component analysis on past AMeDAS data, extracts two weather elements, performs cluster analysis, and returns a grouping on a two-dimensional diagram. When a day that is out of the list (a weather disaster) is tapped, a weather map appears, and numerical experiments can be conducted after setting the date. (3) In the date/time selection, you can specify the date of occurrence of a weather disaster and conduct numerical simulations and sensitivity experiments.
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| Free Research Field |
理科教育学
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| Academic Significance and Societal Importance of the Research Achievements |
これまで気象数値シミュレーションや感度実験は，研究者による利用しか想定しておらず，スパコン利用に限られると考えられてきた．本ソフトは，プルダウンメニュ－等による工夫で中学生でも数値実験が可能であることを証明した．最近のCPUの進化はめざましく数年前のスパコンに匹敵するものある．今回，AIソフトが過去の気象災害を検出し，再現と同時に感度実験ができると言う世界初の気象シミュレーターを開発できた．任意の日時で気象庁のMSMデータをダウンロードし，数値実験可能であることも特筆に値する．今後もこのソフトパッケージの頒布・普及に尽力することによ，，理科教育における数値実験のブレークスルーを実現したい．
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