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Title:
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AUTOMATIC PLAGIARISM DETECTION IN PROGRAMMING LABORATORY COURSES |
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Author(s):
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Nikolaos D. Tselikas, Maria Samarakou, Dimitrios Karolidis, Pantelis Prentakis, Spyros Athineos |
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ISBN:
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978-989-8704-04-7 |
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Editors:
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Philip Powell, Miguel Baptista Nunes and Pedro Isaías |
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Year:
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2014 |
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Edition:
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Single |
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Keywords:
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Computer Aided Education; Automatic Programming Exercises Assessment; Plagiarism detection; Logging information. |
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Type:
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Full Paper |
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First Page:
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232 |
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Last Page:
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238 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In programming language courses, programming exercises and assignments are typical measurable tasks used to determine the skills and knowledge of students on the respective programming language. On the other hand, widespread access to the Internet has served as something of a double-edged sword with respect to plagiarism appearance in exercises, assignments, etc. We present a viable architecture implementing plagiarism detection and decision in a programming laboratory environment. The proposed architecture could be realized as an extension of an already implemented diagnosing and evaluation system for laboratory based academic exercises, which exploits the legacy system as well as the already existing plagiarism detection tools, such as MOSS or JPlag. We combine the input of plagiarism detection tools with the corresponding logging information of the existing monitoring and tracing subsystem of the legacy system, in order to conclude in a safer manner whether a case of potential plagiarism indeed is plagiarism or not. |
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