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

文献类型：期刊论文

作者Zhang, Lishan4; Huang, Yuwei1; Yang, Xi1; Yu, Shengquan2; Zhuang, Fuzhen3
刊名INTERACTIVE LEARNING ENVIRONMENTS
出版日期2019-07-31
页码14
关键词Machine learning short-answer grading text analysis classification auto-grading
ISSN号1049-4820
DOI10.1080/10494820.2019.1648300
英文摘要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. Such questions are called semi-open-ended short-answer questions. Questions of this type often appear in reading comprehension assessments. In this paper, we developed an automatic semi-open-ended short-answer grading model that integrates both domain-general and domain-specific information. The model also utilizes a long-short-term-memory recurrent neural network to learn the representation in the classifier so that word sequence information is considered. In experiments on 7 reading comprehension questions and over 16,000 short-answer samples, our proposed automatic grading model demonstrates its advantage over existing models.
资助项目National Natural Science Foundation of China[61807004] ; Philosophy and Social Sciences Research of the Chinese Ministry of Education[16JZD043]
WOS研究方向Education & Educational Research
语种英语
WOS记录号WOS:000480866000001
出版者ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
源URL[http://119.78.100.204/handle/2XEOYT63/4430]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Yu, Shengquan
作者单位1.17Zuoye, Beijing, Peoples R China
2.Beijing Normal Univ, Adv Innovat Ctr Future Educ, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
4.Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Lishan,Huang, Yuwei,Yang, Xi,et al. An automatic short-answer grading model for semi-open-ended questions[J]. INTERACTIVE LEARNING ENVIRONMENTS,2019:14.
APA Zhang, Lishan,Huang, Yuwei,Yang, Xi,Yu, Shengquan,&Zhuang, Fuzhen.(2019).An automatic short-answer grading model for semi-open-ended questions.INTERACTIVE LEARNING ENVIRONMENTS,14.
MLA Zhang, Lishan,et al."An automatic short-answer grading model for semi-open-ended questions".INTERACTIVE LEARNING ENVIRONMENTS (2019):14.

入库方式： OAI收割

来源：计算技术研究所

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