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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 14 | Page No.: 2774-2780
DOI: 10.3923/jas.2013.2774.2780
Research on the Design and Implementation of Online Homework Review and Similarity Comparison System
Xiaoying Wang, Wenyan Yuan, Weili Guo and Xiaojing Liu

Abstract: Since electronic homework is used more and more popularly and widely in universities, it becomes important and meaningful to manage and analyze the students’ homework in an online way. In this study, we have conducted relevant research on the design and implementation of an online homework review and similarity comparison system based on the B/S architecture. This system could help teachers to publish homework, collect homework, review homework and automatically detect the similarity of several copies of different homework. Plagiarism detection results could be given out as suggestions which could help teachers a lot to pick out the cheating students. The design of the system architecture and the specific detection algorithms are described and analyzed in detail. Experiments show that our system is feasible and convenient to use which will be valuable to spread and apply into the education practice.

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How to cite this article
Xiaoying Wang, Wenyan Yuan, Weili Guo and Xiaojing Liu, 2013. Research on the Design and Implementation of Online Homework Review and Similarity Comparison System. Journal of Applied Sciences, 13: 2774-2780.

Keywords: Online homework review, similarity comparison, plagiarism detection, group classification and sequence alignment

REFERENCES
  • Dailey Paulson, L., 2002. Professors use technology to fight plagiarism. Computer, 35: 24-25.
    CrossRef    

  • Hong, L., W. Jirong and Z. Longyi, 2010. Application research of intelligent management information system for electronic homework. Res. Explorat. Lab., 29: 311-313.

  • Jin, B., Y. Shi and H. Teng, 2005. Similarity algorithm of text based on semantic understanding. J. Dalian Univ. Technol., 02: 291-297.

  • Monostori, K., A. Zaslavsky and H. Schmidt, 2000. Document overlap detection system for distributed digital libraries. Proceedings of the 5th ACM Conference on Digital Libraries, June 2-7, 2000, San Antonio, Texas, USA., pp: 226-227.

  • Manber, U., 1994. Finding similar files in a large file system. Proceedings of the USENIX Winter 1994 Technical Conference on USENIX Winter 1994 Technical Conference, January 17-21, 1994, San Francisco, California, pp: 2-.

  • Schleimer, S., D.S. Wilkerson and A. Aiken, 2003. Winnowing: Local algorithms for document fingerprinting. Proceedings of the ACM SIGMOD International Conference on Management of Data, June 9-12, 2003, San Diego, California, USA., pp: 76-85.

  • Song, Q.B. and J.Y. Shen, 2001. On illegal copying and distributing detection mechanism for digital goods. J. Comput. Res. Dev., 38: 121-125.

  • Smith, T.F. and M.S. Waterman, 1981. Identification of common molecular subsequences. J. Mol. Biol., 147: 195-197.
    CrossRef    PubMed    Direct Link    

  • Wise, M.J., 1996. YAP3: Improved detection of similarities in computer program and other texts. ACM SIGCSE Bull., 28: 130-134.
    CrossRef    

  • Zhu, G. and Q. Song, 2002. Design and implementation of student's papers handle system on network based on web. Comput. Eng., 28: 251-253.

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