工作量
考试(生物学)
计算机科学
考试成绩
卷积神经网络
人工神经网络
人工智能
机器学习
统计
数学
标准化测试
生物
操作系统
古生物学
作者
Xumin Li,Zhimin He,Huayi Xian,Haozhen Situ,Yan Zhou
标识
DOI:10.1109/icwapr48189.2019.8946459
摘要
How to correct test papers efficiently is an important problem that perplexes teachers in many colleges and universities. For the low efficiency of the total score calculation, this paper proposed an intelligent method based on image processing techniques and Convolutional Neural Network (CNN) to calculate the total score of each test paper automatically. Teachers can use the proposed system to calculate the total score of the test paper, which largely reduces teachers' workload. The proposed model can quickly recognize and calculate the total score of test papers. The average time of the total score calculation of each test paper was 0.752 seconds in the experiment. Experimental result shows satisfying performance of the proposed method.
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