Automatic student plagiarism detection : future perspectives
Mozgovoy, M., Kakkonen, T. and Cosma, Georgina. (2010) Automatic student plagiarism detection : future perspectives. Journal of Educational Computing Research, Vol.43 (No.4). pp. 511-531. ISSN 0735-6331Full text not available from this repository.
Official URL: http://dx.doi.org/10.2190/EC.43.4.e
The availability and use of computers in teaching has seen an increase in the rate of plagiarism among students because of the wide availability of electronic texts online. While computer tools that have appeared in the recent years are capable of detecting simple forms of plagiarism, such as copy-paste, a number of recent research studies devoted to evaluation and comparison of plagiarism detection tools revealed that these contain limitations in detecting complex forms of plagiarism such as extensive paraphrasing and use of technical tricks, such as replacing original characters with similar-looking characters from foreign alphabets. This article investigates limitations in automatic detection of student plagiarism and proposes ways on how these issues could be tackled in future systems by applying various natural language processing and information retrieval technologies. A classification of types of plagiarism is presented, and an analysis is provided of the most promising technologies that have the potential of dealing with the limitations of current state-of-the-art systems. Furthermore, the article concludes with a discussion on legal and ethical issues related to the use of plagiarism detection software. The article, hence, provides a "roadmap" for developing the next generation of plagiarism detection systems.
|Item Type:||Journal Article|
|Subjects:||L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
|Divisions:||Faculty of Science > Computer Science|
|Journal or Publication Title:||Journal of Educational Computing Research|
|Publisher:||Baywood Publishing Co., Inc.|
|Page Range:||pp. 511-531|
|Access rights to Published version:||Restricted or Subscription Access|
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