Robust automated essay scoring method integrating deep neural networks and item response theory

Masaki UTO

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Robust automated essay scoring method integrating deep neural networks and item response theory

Masaki UTO

07/2020–03/2023

抄録

Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Research (Exploratory), Category: Grant-in-Aid for Challenging Research (Exploratory), Fund Type: -, Overall Grant Amount: - (direct: 4800000, indirect: 1440000)

ファイルとリンク (1)

url

https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K20817表示

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詳細

タイトル: Robust automated essay scoring method integrating deep neural networks and item response theory
作成者 – 役職なし: Masaki UTO
ID: 991002561052507421
組織: The University of Electro-Communications
資料タイプ: その他
リソースのサブタイプ: rm_research_projects