基于遗传算法的在线考试系统设计与实现  

Design and Implementation of Online Examination System Based on Genetic Algorithm

作　　者：王琦[1] 邓秀慧[1] 蔡玮[1] 潘磊 WANG Qi;DENG Xiuhui;CAI Wei;PAN Lei(College of Computer Engineering,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China)

机构地区：[1]南京工程学院计算机工程学院,江苏南京211167

出　　处：《信息与电脑》2021年第21期58-60,共3页Information & Computer

基　　金：南京工程学院高等教育研究课题(项目编号:2018YB17)。

摘　　要：在教学秩序中,考试是不可分割的一部分。在线考试因为其先进、高效、科学、公平的特性,逐渐被广泛认可和采纳。智能组卷是在线考试系统的重要组成部分,确保了试卷的难度和质量,最大限度地保证了试卷对考试范围的准确性、客观性,体现了考试的公平公正。本文尝试提出一种优化的智能组卷方案,并将其运用到实际系统,设计和实现一个以SSM框架为基础的智能组卷在线考试系统,并通过实验验证了本文方法的有用性和有效性。In the teaching order, examination is an integral part. Online examination is more and more widely recognized and adopted because of its advanced, efficient, scientific and fair characteristics. Intelligent test paper composition is an important part of the online examination system, which ensures the difficulty and quality of the test paper, and the accuracy and objectivity of the test paper to the examination scope to the greatest extent. It reflects the fairness and justice of the examination. This paper attempts to propose an optimized intelligent test paper composition scheme and Apply it to the actual system. It designs and implements an intelligent test paper composition online examination system based on SSM framework, and verifies the usefulness and effectiveness of this method through experiments.

关 键 词：在线考试 智能组卷 遗传算法 SSM框架 

分 类 号：G642.4[文化科学—高等教育学] TP18[文化科学—教育学]