2020年1月
Cognitive diagnosis models for estimation of misconceptions analyzing multiple-choice data
Behaviormetrika
- ,
- ,
- 巻
- 47
- 号
- 1
- 開始ページ
- 19
- 終了ページ
- 41
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1007/s41237-019-00100-9
- 出版者・発行元
- Springer Science and Business Media LLC
Incorrect options for multiple-choice questions are often intentionally included so that they may be selected by an examinee who possesses a misconception. Determining whether an examinee possess a misconception is useful for educational purposes. In the present paper, two statistical models that can estimate examinees’ possession of misconceptions by analyzing multiple-choice data, which are unscored data were developed. By converting multiple-choice data to binary data, which are scored data (1 = correct, 0 = incorrect), the Bug-DINO model can estimate examinees’ possession of misconceptions. However, converting multiple-choice data to binary data causes a loss in information, because which incorrect option an examinee chooses is important information for an examinee’s knowledge state. The three models (two developed models and the Bug-DINO model) are compared in a simulation study, and the developed models are applied to the Reading Skill Test data.
- リンク情報
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- DOI
- https://doi.org/10.1007/s41237-019-00100-9
- 共同研究・競争的資金等の研究課題
- テーラーメード教育開発を支援するための学習者の読解認知特性診断テストの開発
- URL
- http://link.springer.com/content/pdf/10.1007/s41237-019-00100-9.pdf
- URL
- http://link.springer.com/article/10.1007/s41237-019-00100-9/fulltext.html
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85079723153&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85079723153&origin=inward
- ID情報
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- DOI : 10.1007/s41237-019-00100-9
- ISSN : 0385-7417
- eISSN : 1349-6964
- SCOPUS ID : 85079723153