华东师范大学学报(自然科学版) ›› 2022, Vol. 2022 ›› Issue (2): 76-83.doi: 10.3969/j.issn.1000-5641.2022.02.009

• 计算机科学 • 上一篇    下一篇

大学数学作业自动批改系统的设计与实践

杨勤民*(), 江志松   

  1. 华东理工大学 数学学院, 上海 200237
  • 收稿日期:2021-09-25 出版日期:2022-03-25 发布日期:2022-03-28
  • 通讯作者: 杨勤民 E-mail:qmyang@ecust.edu.cn
  • 基金资助:
    高等学校大学数学教学研究与发展中心项目(CMC20170207); 华东理工大学2017年教育教学规律与方法研究项目

Design and implementation of automatic correction for college mathematics assignments

Qinmin YANG*(), Zhisong JIANG   

  1. School of Mathematics, East China University of Science and Technology, Shanghai 200237, China
  • Received:2021-09-25 Online:2022-03-25 Published:2022-03-28
  • Contact: Qinmin YANG E-mail:qmyang@ecust.edu.cn

摘要:

通过信息提取技术、数据匹配技术与一次性人工处理相结合的方法, 将数学主观题转化为树状选择题, 并结合现代信息技术和网络技术, 开发了大学数学作业自动批改系统, 且在大学数学公共基础课的教学中予以了实践. 此类系统解决了自动批改数学主观题的瓶颈问题, 能够批改小学、中学和大学数学课程中的常规习题, 如选择题、填空题、判断题、问答题、计算题、证明题等, 可达到做完即批完的效果. 还可以应用于数学教学的各个环节, 如课前预习、课堂练习、课后复习、课外辅导、备考和在线考试等等. 自动批改过程中采集的电子数据可用于数据分析、教学指导、教学研究和教育信息化的建设.

关键词: 数学主观题, 信息提取, 树状选择题, 大学数学教学, 教育信息化

Abstract:

By combining information extraction technology, data matching technology, and one-time manual processing, mathematical subjective questions can be transformed into tree-shaped multiple-choice questions. In this study, an automatic correction system for college mathematics assignments was developed by combining modern information and network technology; the system was subsequently trialed in the teaching of entry-level college mathematics courses. The proposed system solves bottlenecks related to automatic grading of subjective mathematics questions, including multiple-choice questions, fill-in-the-blank questions, judgment questions, quiz questions, calculation questions, and proof questions. The system can correct routine exercises for mathematics courses of primary schools, middle schools, and universities so as to achieve more efficient completion. The idea, furthermore, can be applied to various aspects of mathematics teaching, such as previews before class, classroom exercises, reviews after class, preparations for examinations, online examinations, etc. The electronic data collected in the process of automatic correction can subsequently be used for data analysis, teaching guidance, teaching research, and the construction of educational informatization.

Key words: mathematical subjective questions, information extraction, tree-shaped multiple-choice questions, college mathematics teaching, educational informatization

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