网络阅卷及其关键技术研究

发布时间：2018-10-12 07:16

【摘要】：随着计算机信息技术的发展,网络信息化技术在考试中的应用规模也越来越宏大。考试是教学的重要环节,考试数量的增多和考试规模的扩大,传统考试内容限定的选择题和问答题逐渐演变为集单选题、多选题、客观主观选做题、主观性试题、发散性思维题等题型为一体的多元化发展态势,传统阅卷方式对评卷误差的把握、阅卷后的分数统计分析,试卷的运送存储等都无法做到精确。网络阅卷系统是以提高阅卷速度,减小主观题阅卷误差,便于分数的统计分析及试卷的管理存档为目的,以考试的公平公正性原则为宗旨的新型阅卷方式。本文采用“互联网+”的设计模式、数字图像处理技术以及大数据分析技术,将纷繁复杂的阅卷工作和错综复杂的数据统计分析交由系统的“扫描和评阅”自动完成。系统主要分客观题阅卷和主观题阅卷两大部分,试卷经过图像扫描,系统自动识别考生基本信息,客观题由系统自动判分,主观题由系统随机将分割后的题块分发到计算机终端,由阅卷教师进行网络阅卷,阅卷过程中注入多评机制,保证阅卷公平性,系统自动进行成绩统计和校验。网络阅卷将计算机网络技术与教师阅卷经验相结合,既减少了阅卷错误又相应地提高了阅卷效率。本文在网络阅卷整个系统的设计实现中,主要做了如下工作:(1)在阅读相关文献的基础上分析对比国内外研究背景和现状,重点分析国内几家系统的优缺点,阐述了迫切开发一款效率高、功能强的网络阅卷系统的重要性,针对用户真实需求,结合网络应用于教育的教育技术学理论,对整个系统的开发方案进行分析与设计;(2)分析了图像预处理的相关技术,针对几种常用的图像预处理方法,找出适应于本系统的图像预处理技术,对电子扫描答题卡作图像预处理操作,实现了客观题答案识别。最后将卷积神经网络应用到手写答案和考号识别领域,实现对涂卡客观题答案和手写体答案及考号的自动识别,有效地提高了系统在识别方面的准确率和效率。(3)最后本系统采用B/S开发模式,利用SSH框架Java技术和MySQL数据库,最终开发实现了整个阅卷系统。
[Abstract]:With the development of computer information technology, the application scale of network information technology in examination is more and more large. Examination is an important link in teaching. With the increase of the number of examinations and the expansion of examination scale, the traditional examination content limited multiple choice questions and questions gradually evolved into single topic selection, multi-topic selection, objective subjective selection of questions, subjective test questions. Divergent thinking questions and other questions as one of the diversified development situation, the traditional marking of the error of the paper evaluation, the statistical analysis of scores after marking, the transport and storage of test papers can not achieve accuracy. The network marking system is a new type of marking method which aims at improving the marking speed, reducing the error of the subjective questions marking, facilitating the statistical analysis of the scores and the management and archiving of the examination papers, and taking the principle of fairness and fairness in the examination as the purpose. In this paper, the design mode of "Internet", digital image processing technology and big data analysis technology are adopted, and the complicated marking work and the complicated data statistical analysis are automatically completed by the system "scan and review". The system is mainly divided into two parts: objective question marking and subjective question marking. After image scanning, the system automatically recognizes the basic information of the examinee, and the objective questions are automatically graded by the system. The subjective questions are distributed randomly to the computer terminal by the system, and the network marking is carried out by the marking teachers. The multiple evaluation mechanism is injected into the marking process to ensure the fairness of the marking, and the system automatically carries out the results statistics and verification. The combination of computer network technology and teachers' marking experience not only reduces the error of marking but also improves the efficiency of marking. The main work of this paper is as follows: (1) on the basis of reading related literature, this paper analyzes and compares the domestic and foreign research background and current situation, and analyzes the advantages and disadvantages of several domestic systems. This paper expounds the importance of developing a network marking system with high efficiency and strong function. According to the real needs of users, it combines the educational technology theory of network application in education. Analysis and design of the whole system development scheme; (2) analysis of the image preprocessing technology, aiming at several commonly used image preprocessing methods, find out the image preprocessing technology suitable for this system. The electronic scan answer card is preprocessed and the objective answer recognition is realized. Finally, the convolution neural network is applied to the field of handwritten answer and test number recognition, which realizes the automatic recognition of the objective answer and handwritten answer and the test number. The accuracy and efficiency of the system in recognition are improved effectively. (3) at last, the system adopts the B / S development mode, uses SSH framework Java technology and MySQL database, and finally develops and realizes the whole marking system.
【学位授予单位】：石家庄铁道大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G434

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