计算机技术在主观题自动阅卷中的应用述评

doi:10.1004-7530/2019-36-8-39

摘要/Abstract

摘要：

随着计算机和网络技术的发展,在教育中,计算机不仅用于辅助教学,还用于辅助评估。目前,计算机自动评估客观题已是常态,但对主观题自动评分的研究还不够深入。文章从主观题人工评分过程的特点出发,阐述了主观题自动评分方法的发展,并结合人工神经网络的发展和优势,大胆设想：是否在人工神经网络下,深度学习也可以应用于主观题自动阅卷。

关键词: 主观题, 人工阅卷, 自动阅卷, 人工神经网络

Abstract:

With the development of computer and network technology, in education, computers are not only used to assist teaching, but also to assist evaluation. At present, the evaluation of objective questions for computer automatic evaluation has been very common, but the research on automatic scoring of subjective questions is not deep enough.Based on the characteristics of the manual scoring process of subjective questions, this paper expounds the development of automatic scoring method of subjective questions, and combines the development and advantages of artificial neural networks.So it is bold to imagine：whether deep learning can also be applied to the automatic scoring of subjective questions under the artificial neural network.Under the artificial neural network ,Whether deep learning can also be applied to the automatic review of subjective questions.

Key words: subjective questions, manual scoring, automatic scoring, artificial neural networks

中图分类号:

TE319

李冰. 计算机技术在主观题自动阅卷中的应用述评[J]. 江苏科技信息, 2019, 36(8): 39-43.

Bing Li. Review on the application of computer technology in automatic examination of subjective questions[J]. Jiangsu Science & Technology Information, 2019, 36(8): 39-43.

图/表 4

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	关注层面	核心技术
PEG	语言的浅表层特征	统计技术和自然语言处理技术
IEA	文章结构	信息检索技术,特别是LSA
E-rater	文章内容、句法、篇章	基于人工智能之上的自然语言处理技术
Intellimetric	语义、句法、篇章	自然语言处理技术、统计技术和人工智能技术
Criterion	提供写作环境,给出针对性反馈	融合了E-rater和Critique
My Access	提供写作环境,给出针对性反馈	和Intellimetric核心技术一样

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