Abstract
With the advent of the Internet era, computer technology has penetrated into the political, economic, cultural and other fields, which also includes the field of education. In the traditional education mode, large test is often faced with many difficult including high cost of examination, heavy examinations and so on. Therefore, it is an important research on designing a test system combine with Artificial Intelligence. This paper analyzes the related Artificial Intelligent standardized test system, and uses the improved Genetic Algorithm to refine the rules for an Intelligent test paper, and uses Fuzzy and Close matching to intelligent mark, combines with Artificial Intelligence to design optimized standardized English test systems. And does feasibility analysis and related comparisons by the experiment. The results showed that the Intelligent standardized test system not only ensured the fairness of the examination, reduced the costs of the examination, but also assessed the capacity of the candidates more effectively.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Polat, K., Şahan, S., Güneş, S.: A new method to medical diagnosis: artificial immune recognition system (AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmia. Expert Syst. Appl. 31(2), 264–269 (2006)
Heffernan, B.N., Koedinger, K.: Can an intelligent tutoring system predict math proficiency as well as a standardized test. In: Beck & Baker International Conference on Education Data Mining, vol. 5, pp. 107–116 (2010)
Alani, I.A.R., Basri, N.E.A., Abdullah, R.A., Amiruddin, I.: Artificial intelligence expert system for minimizing solid waste during highway construction activities, vol. 33, pp. 121–135 (2009)
Sacks, P.: Standardized Minds: The High Price of America’s Testing Culture and What We Can Do To Change It, vol. 169, pp. 29–32 (1999)
Kaufman, J.C., Baer, J.: Intelligent testing with torrance. Creat. Res. J. 18(1), 99–102 (2006)
Helms, J.E.: Why is there no study of cultural equivalence in standardized cognitive ability testing. Am. Psychol. 47(9), 1083–1088 (1992)
Ermis, K., Erek, A., Dincer, I.: Heat transfer analysis of phase change process in a finned-tube thermal energy storage system using artificial neural network. Int. J. Heat Mass Transf. 50(15), 3163–3175 (2007)
Rao, R.S., Narasimham, S.V.L., Ramalingaraju, M.: Optimization of distribution network configuration for loss reduction using artificial bee colony algorithm. Int. J. Electr. Power Energy Syst. Eng. 1(2), 116–122 (2008)
Etzioni, O., Cafarella, M., Downey, D., et al.: Unsupervised named-entity extraction from the web: an experimental study. Artif. Intell. 165(1), 91–134 (2005)
Bos, J.E., Bles, W., de Graaf, B.: Eye movements to yaw, pitch, and roll about vertical and horizontal axes: adaptation and motion sickness. Aviat. Space Environ. Med. 73(5), 436–444 (2002)
DeBusk, R.F., Miller, N.H., Superko, H.R., et al.: A case-management system for coronary risk factor modification after acute myocardial infarction. Ann. Intern. Med. 120(9), 721–729 (1994)
Paddan, G.S., Griffin, M.J.: The transmission of translational seat vibration to the head—I. Vertical seat vibration. J. Biomech. 21(3), 191–197 (1998)
Huang, F.: Discuss about the basic strategy of information technology and curriculum integration. Electrochem. Educ. Res. 7, 24–29 (2002)
Acknowledgment
The work presented in this paper is supported by the Social Science Fund of Jilin Province: 2014WY50.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Wang, H. (2018). Research on Intelligent Standardized English Test Systems with Artificial Intelligence. In: Mizera-Pietraszko, J., Pichappan, P. (eds) Lecture Notes in Real-Time Intelligent Systems. RTIS 2016. Advances in Intelligent Systems and Computing, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-60744-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-60744-3_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60743-6
Online ISBN: 978-3-319-60744-3
eBook Packages: EngineeringEngineering (R0)