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An automatic short-answer grading model for semi-open-ended questions

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成果类型:
期刊论文
作者:
Zhang, Lishan;Huang, Yuwei;Yang, Xi;Yu, Shengquan*;Zhuang, Fuzhen
通讯作者:
Yu, Shengquan
作者机构:
[Yu, Shengquan] Beijing Normal Univ, Adv Innovat Ctr Future Educ, Beijing, Peoples R China
[Zhang, Lishan] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China
[Huang, Yuwei; Yang, Xi] 17Zuoye, Beijing, Peoples R China
[Zhuang, Fuzhen] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
通讯机构:
[Yu, Shengquan] B
Beijing Normal Univ, Adv Innovat Ctr Future Educ, Beijing, Peoples R China.
语种:
英文
关键词:
Machine learning;short-answer grading;text analysis;classification;auto-grading
期刊:
Interactive Learning Environments
ISSN:
1049-4820
年:
2022
卷:
30
期:
1
页码:
177-190
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61807004]; Philosophy and Social Sciences Research of the Chinese Ministry of Education [16JZD043]
机构署名:
本校为第一机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This method performs well for closed-ended questions that have single or very limited numbers of correct answers. However, some short-answer questions ask students to express their own thoughts based on various facts; hence, they have no reference answers. S...

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