NDLI: Study of construction strategies for test paper based on genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Dongchao, Chang
Copyright Year	2011
Description	Author affiliation: Liaoning Shihua University, School of Computer & Communication, Fushun, P.R. China (Dongchao, Chang)
Abstract	With the rapid development of the computer technology and artificial intelligence, and the rapid improvement of Chinese educational information level, It becomes the hot focus in IT industry and education domain to achieve paperless examination and networking examination. The thesis, firstly, introduces the research background, the art of the state of the domestic and foreign research works. In the analysis of a large number of research results domestically and abroad, the thesis analyzes the algorithms for automatically constructing test papers, and establishes the mathematical model for constructing test papers automatically, whose control parameters are the types of items, the difficulty of items, the distinguishing degrees, the cognitive classification, and the time of arraying paper. The test paper based on improved genetic algorithm strategy are proposed. Since the characteristics of finding global optimal solution adaptively and the high convergence speed, The proposed algorithms solves the problem of the code length of the chromosome too long, and the difficulties to compute the fitness. The chromosome structure and fitness function are constructed and described based on the requirements of organizing test paper. The genetic operation of the problem is designed and the corresponding application software based on the genetic algorithm proposed in this thesis is programmed. It is laid a solid foundation to further improve the construction of the network item bank. Finally, the basic structure of paperless examination system is explored to determine the overall function of the paperless system and determine the direction of studying
Starting Page	1
Ending Page	4
File Size	278729
Page Count	4
File Format	PDF
ISBN	9781424486915
e-ISBN	9781424486946
DOI	10.1109/ICEBEG.2011.5887172
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Presses Education Construction Strategies for Test Paper Genetic Algorithm Classical Test Theory Mathematics Model Classification algorithms Mathematical model Biological cells Genetic algorithms
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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