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J-GLOBAL ID:202002270214620969   Reference number:20A0701122

Test Theory and Artificial Intelligence Based Technologies for Performance Assessment

テスト理論と人工知能に基づくパフォーマンス評価の新技術
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Volume: 37  Issue:Page: 8-18(J-STAGE)  Publication year: 2020 
JST Material Number: L2602A  ISSN: 1341-4135  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Computer system development  ,  Artificial intelligence  ,  Applied psychology 
Reference (77):
  • (1) Liu, O. L., Frankel, L. and Roohr, K. C.: “Assessing critical thinking in higher education: Current state and directions for next-generation assessment”, ETS Research Report Series, Vol. 2014, No. 1, pp. 1-23 (2014)
  • (2) Schendel, R. and Tolmie, A.: “Assessment techniques and students’ higher-order thinking skills”, International Journal of Secondary Education, Vol. 4, No. 1, pp. 1-11 (2016)
  • (3) Zlatkin-Troitschanskaia, O., Shavelson, R. J., Schmidt, S. et al.: “On the complementarity of holistic and analytic approaches to performance assessment scoring”, British Journal of Educational Psychology, Vol. 89, pp. 468-484 (2019)
  • (4) 松下佳代,小野和宏,高橋雄介:“レポート評価における ルーブリックの開発とその信頼性の検討”,大学教育学会誌,Vol. 35, No. 1, pp. 107-115 (2013)
  • (5) Myford, C. M. and Wolfe, E. W.: “Detecting and measuring rater effects using many-facet Rasch measurement: Part I”, Journal of Applied Measurement, Vol. 4, No. 4, pp. 386-422 (2003)
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