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アダプティブテスティングにおけるIRT困難度の推定: LCTの結果を用いた支援推定法
https://it-hiroshima.repo.nii.ac.jp/records/1052
https://it-hiroshima.repo.nii.ac.jp/records/105293897155-f594-4d0a-b02d-75e985eba5d0
名前 / ファイル | ライセンス | アクション |
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||||||||
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公開日 | 2023-03-30 | |||||||||||
タイトル | ||||||||||||
タイトル | アダプティブテスティングにおけるIRT困難度の推定: LCTの結果を用いた支援推定法 | |||||||||||
タイトル | ||||||||||||
タイトル | Estimation of IRT Difficulties in Adaptive Testing: An LCT Assisted Estimation Method | |||||||||||
言語 | en | |||||||||||
言語 | ||||||||||||
言語 | jpn | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | collaborative work testing | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | learning check testing | |||||||||||
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主題Scheme | Other | |||||||||||
主題 | item response theory | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | dually adaptive IRT | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | EM-type IRT | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | departmental bulletin paper | |||||||||||
著者 |
廣瀬, 英雄
× 廣瀬, 英雄
× Hirose, Hideo
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抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | It seems difficult to estimate the difficulties of the problem items in the adaptive testing even if we use the EM-type IRT (item response theory) method because the response matrix made by the adaptive testing becomes sparse which is not enough to estimate the item difficulties and examinees’ abilities. In this paper, we propose to use the known ability values from other testing results if the examinees are the same. In the follow-up program systems, we have been using three kinds of testing, the LCT (learning check testing), the CWT (collaborative work testing), and the FPT (follow-up program testing), in which the LCT provide accurate estimates for ability values. We use the LCT’s ability values in the CWT estimation. For stable estimation, we have used one-parameter estimation method (Rasch model) instead of two-parameter estimation method which is used in common. The estimation is performed well. In addition, comparing the method of 2017 CWT difficulty estimation with that of the 2016, we have found that in estimating the difficulty parameters using artificial response matrix where 0 values are imposed in the vacant elements the estimates of difficulty parameters are heavily biased to difficult problem side. | |||||||||||
書誌情報 |
広島工業大学紀要. 研究編 巻 52, p. 103-108, 発行日 2018-02 |
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出版者 | ||||||||||||
出版者 | 広島工業大学 | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | ISSN | |||||||||||
収録物識別子 | 13469975 | |||||||||||
書誌レコードID | ||||||||||||
収録物識別子タイプ | NCID | |||||||||||
収録物識別子 | AA11599110 | |||||||||||
権利 | ||||||||||||
権利情報 | publisher | |||||||||||
フォーマット | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | application/pdf | |||||||||||
著者版フラグ | ||||||||||||
出版タイプ | VoR | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |