Algorithm and strategy research of generating test paper for large scale online examination

2011 ◽  
Author(s):  
Zhouguobing ◽  
Liutingting ◽  
Liu Xinxin
Keyword(s):  
Large Scale ◽  
Test Paper ◽  
Strategy Research ◽  
Online Examination

Strategy and Applied Research of Multi-Constrained Model of Automatic Test Paper Based on Genetic Algorithm

2010 ◽  
Vol 37-38 ◽  
pp. 1223-1230 ◽  
Author(s):  
Zhi Feng Liu ◽  
Ji Shi ◽  
Jia Liu ◽  
Yang Li
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problem ◽  
Applied Research ◽  
Genetic Manipulation ◽  
Initial Population ◽  
Test Paper ◽  
Examination System ◽  
Automatic Test ◽  
Online Examination ◽  
Constrained Model

Test paper problem is a typical multi-constrained objective optimization problem. By using genetic algorithm, this paper analyzes the initial population generation, the chromosome coding and its genetic manipulation, control parameters. Solving that by natural-coded genetic algorithm, improves test paper success rate and convergence rate. This genetic algorithm is applied successfully on NHibernate architecture, and developed "automatic test paper" Online Examination system.

An Intelligent Test Paper Generation Algorithm Based on Adjustment of Overall Difficulty Degrees

2013 ◽  
Vol 411-414 ◽  
pp. 2879-2882
Author(s):  
Gui Ying Han ◽  
Xi Zuo Li
Keyword(s):  
Success Rate ◽  
Test Paper ◽  
Intelligent Algorithm ◽  
Generation Algorithm ◽  
Online Examination ◽  
Long Time ◽  
Simulation Results

Intelligent test paper generation is an important factor for online examination systems, which determines whether the system can be used to effectively test the true levels of the testees. For the current algorithms of test paper generation that is low success rate, long time-consuming and the generated exam papers are difficult to meet actual demands, an intelligent algorithm of test paper generation is presented, that is based on adjusting of overall difficulty degrees of the test questions. According to the levels of difficulty degrees and the number of each type of questions required by the users, an appropriate number of questions for each level of the difficulty degree for the test paper is generated by the algorithm. Then, the corresponding questions are extracted randomly. Simulation results show that the intelligent test paper generation algorithm is faster, of good quality, the generated test papers can meet the actual demands.

Complementary QoS Strategy Research and Application in Large-Scale Switched Networks

2013 ◽  
Vol 712-715 ◽  
pp. 2664-2670
Author(s):  
Jian Feng Jiang ◽  
Jian Feng Jiang ◽  
Xian Zhang ◽  
Jin Xia Sun
Keyword(s):  
Large Scale ◽  
Reference Model ◽  
Hierarchical Architecture ◽  
Service Model ◽  
Strategy Research ◽  
Switched Networks ◽  
Delay Jitter ◽  
Strategy Model ◽  
Complementary Strategy

Large-scale switched networks based on hierarchical architecture put forward higher requirements for the quality of service. This paper analyzes the advantages, disadvantages and the application environment of the traditional QoS architecture based on business according to the second layer and the third layer of the OSI reference model. Then a complementary strategy model integrating Differentiated service model with Integrated service model is designed to enhance the QoS of a large-scale switched network. Simulation results prove that the model can improve the networks QoS in many aspects such as transmission delay, packet loss rate, delay jitter and network throughput.

Research on Random Algorithm of English Test Paper Composition

2014 ◽  
Vol 1049-1050 ◽  
pp. 1502-1505
Author(s):  
Wei Wei Qu
Keyword(s):  
Language Learning ◽  
English Language ◽  
Random Number Generation ◽  
Recursive Formula ◽  
Flow Diagram ◽  
Test Paper ◽  
Examination System ◽  
Learning And Teaching ◽  
Online Examination ◽  
Random Algorithm

English, as one of the most important information carriers, has become the most widely used language worldwide, and its importance is increasingly prominent in each field of our society. Examinations are an important means of evaluating the level of English language learning and teaching outcomes. For the problems existed in traditional English exam, this paper research English online examination system intelligent test paper based on random algorithm. First, the design test paper constraints, including the question amount constraint, questions type constraints, knowledge point constraints, difficulty constraints, answer time constraints and so on; Then, using the linear congruence generator study of a random number generation, list recursive formula and describe parameters; Finally, using flow diagram to study random test paper process, for each step describing in detail. Advantages of random algorithm are easy to use, the disadvantage is not retrospective, applies to the number of exam papers and extraction requirements are relatively few cases.

Heuristic Genetic Test Paper Algorithm for Online Examination System

2013 ◽  
Vol 798-799 ◽  
pp. 676-679
Author(s):  
Feng Yu ◽  
Wei Liu ◽  
Ming Cui
Keyword(s):  
Information Management ◽  
Genetic Test ◽  
Experimental Results ◽  
Test Paper ◽  
Examination System ◽  
Internet Applications ◽  
Satisfactory Performance ◽  
Online Examination ◽  
Improved Algorithm

Online examination system is built on internet applications,aimed at achieving information management of examinations. Online examination system in the generation of test papers, the submission and approval can be done automatically on the network. We proposes a new heuristic genetic test paper algorithm, and the proposed algorithm is applied to the online examination system. From the experimental results,the improved algorithm has achieved satisfactory performance.

scholarly journals Online Exam Portal

2021 ◽  
Vol 9 (VI) ◽  
pp. 28-31
Author(s):  
V. J. Chaudhari
Keyword(s):  
Time Limit ◽  
Automated System ◽  
Test Paper ◽  
Multiple Choice Questions ◽  
Efficient Manner ◽  
Web Based ◽  
Online Examination ◽  
On Line ◽  
Line Test ◽  
Fully Automated System

“Online Exam Portal” is an on-line test simulator is to take online examination, test in an efficient manner and no time wasting for manually checking of the test paper. The main objective of this web based online exam portal is to efficiently evaluate the student thoroughly through a fully automated system that not only saves lot of time but also gives fast and accurate results. For students they give papers according to their convenience from any location by using internet and time and there is no need of using extra thing like paper, pen etc. Online exam portal helps students to offer a quick and easy way to appear for the test. It also provides the results immediately after the examination with 100% accuracy and security. Student can enter to perform exam only with their valid username and password. This examination contains multiple choice questions and appropriate number of options. There are no limitations on number of options and it can be randomized so same set of question will not appear to all student so it prevent manipulation. More than one option can be correct but the user can select only one option. This provides time limit. The user can see their results after completing the exam. This helps the students to write the exam from far distance and which can provide security and simplicity and other beneficial features to the user

scholarly journals Computer Intelligent Test Paper System Based on Genetic Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 134
Author(s):  
Hongming Wang
Keyword(s):  
Genetic Algorithm ◽  
Rapid Development ◽  
Standard Test ◽  
System Structure ◽  
Test Paper ◽  
Test Question ◽  
Main Method ◽  
Network Function ◽  
Online Examination ◽  
Crossover And Mutation

The rapid development of the Internet has brought tremendous changes to people’s lives. Through the network function, the online examination is gradually accepted by various educational and teaching institutions. Currently, online exams have become the main method of teaching evaluation. In order to solve the problem of intelligent test paper more effectively, this paper proposes a mufti-threaded intelligent test paper strategy based on genetic algorithm, and designs the computer system structure in the standard test question bank. Convergence simulation and experimental results show that the algorithm is better than simple particle swarm optimization algorithm, simple genetic algorithm and its improved algorithm. Established a mathematical model and objective function for test paper composition, and proposed an intelligent test paper composition strategy based on genetic algorithm. The investigator used overall coding, crossover and mutation operations to improve the global optimization capability and convergence speed. It overcomes the phenomenon of premature and improves the accuracy and speed of convergence. It has the advantages of strong optimization ability and good stability.

Database Design on Intelligent Test Paper Composing System of College English Online Examination

2013 ◽  
Vol 846-847 ◽  
pp. 1772-1775
Author(s):  
Rui Li
Keyword(s):  
Logical Structure ◽  
Test System ◽  
Structure Design ◽  
Test Paper ◽  
Teaching Management ◽  
College English ◽  
Entity Relationship Model ◽  
Online Examination ◽  
Relationship Model ◽  
Entity Relationship

College English is students public courses who dont major in English. The traditional examination mode has many defects, so online examination is the future, intelligent test paper composition is an important part of online examination, in this paper, according to the characteristics of College English test, design database on intelligent test system. Firstly, make t requirement analysis about the test, user, and algorithm; then, use entity relationship model to design the concept based on the analysis; finally, make the logical structure design, following the design principles for the logical structure of the meter, and the result is the table structure 10. The content of this paper has important application value for the construction of College English online examination management system, promoting the scientific and standardization of teaching management.

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