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

doi:10.1080/10494820.2019.1648300

	An automatic short-answer grading model for semi-open-ended questions
	Zhang, Lishan 2; Huang, Yuwei 3; Yang, Xi 3; Yu, Shengquan 1; Zhuang, Fuzhen 4
	2019-07-31
发表期刊	INTERACTIVE LEARNING ENVIRONMENTS
ISSN	1049-4820
页码	14
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.
关键词	Machine learning short-answer grading text analysis classification auto-grading
DOI	10.1080/10494820.2019.1648300
收录类别	SCI
语种	英语
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
WOS类目	Education & Educational Research
WOS记录号	WOS:000480866000001
出版者	ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
引用统计	被引频次：30[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4431
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.Beijing Normal Univ, Adv Innovat Ctr Future Educ, Beijing, Peoples R China 2.Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China 3.17Zuoye, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing, 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.