Learning Automated Essay Scoring Models Using Item-Response-Theory-Based Scores to Decrease Effects of Rater Biases
Article Status
Published
Authors/contributors
- Uto, Masaki (Author)
- Okano, Masashi (Author)
Title
Learning Automated Essay Scoring Models Using Item-Response-Theory-Based Scores to Decrease Effects of Rater Biases
Publication
IEEE Transactions on Learning Technologies
Volume
14
Issue
6
Pages
763-776
Date
2021-12-1
Journal Abbr
IEEE Trans. Learn. Technol.
ISSN
1939-1382
Accessed
27/03/2023, 18:27
Library Catalogue
DOI.org (Crossref)
Extra
Citation Key: uto2021
<标题>: 使用基于项目反应理论分数的自动作文评分模型学习以减少评分者偏差的影响
Citation
Uto, M., & Okano, M. (2021). Learning Automated Essay Scoring Models Using Item-Response-Theory-Based Scores to Decrease Effects of Rater Biases. IEEE Transactions on Learning Technologies, 14(6), 763–776. https://doi.org/10.1109/TLT.2022.3145352
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