Research on Random Algorithm of English Test Paper Composition

Article Preview

Abstract:

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.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1502-1505

Citation:

Online since:

October 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] R. Zhang, Design and Realization of College Chinese Examination System, " Master, s degree of Chongqing University, (2009).

Google Scholar

[2] P. N. Xiao, X. T. Zhang, Aiming at the drawbacks of traditional test model analysis and realization of online examination system based on Web, Digitization User, vol. 15, no. 6, pp.49-50, (2013).

Google Scholar

[3] Q. F. Cheng, H. T. Liu, X. M. Yang, Design of Test Paper Strategy Based on Randomized Algorithm, Science Mosaic, vol. 24, no. 11, pp.107-110, (2011).

Google Scholar

[4] Shakeel Ahamed, Rangajanardhana, Nagesh, Using Genetic Algorithm and Comparison with Particle Swarm Optimization and Simulated Annealing Optimization Algorithms, IUP Journal of Supply Chain Management, vol. 10, no. 2, pp.33-43, (2013).

Google Scholar

[5] John C. Harris, David L. Wehlau, Non-negative integer linear congruences, Indagationes Mathematicae, vol. 17, no. 1, pp.37-44, (2006).

DOI: 10.1016/s0019-3577(06)80005-4

Google Scholar

[6] N. Fu, The Methods For Generating The Random Numbers: Linear Congruence Generator, " Master, s degree of Jilin University, (2007).

Google Scholar

[7] Z. H. Yang, G. Z. Zhang, The Method of Generating Random Number for the Nor uniform Distribution, Application of statistics and management, vol. 25, no. 2, pp.244-252, (2006).

Google Scholar

[8] X. Fan, Analysis and application of random test paper generation algorithm in examination system, China Computer & Communication, vol. 6, no. 1, pp.122-123, (2012).

Google Scholar

[9] L. Q. Hou, A research and development of intelligent test-paper composing system, Journal of Hangzhou Teachers College, vol. 27, no. 1, pp.77-80, (2005).

Google Scholar

[10] W. P. Wu, Design of Intelligent Generating Test Paper System for Internet-Based College English Tests, Computer-Assisted Foreign Language Education in China, vol. 32, no. 2, pp.44-47, (2010).

Google Scholar

[11] Q. Lei, C. A. Liu, Research on Composing Test Paper from English Test Database Based on Intelligence Optimization, Science Technology and Engineering, vol. 9, no. 24, pp.7500-7502, (2009).

Google Scholar