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Handbook of Research on Academic Misconduct in Higher Education
The percentage of overlap between text submitted to plagiarism detection and that in original source material. This should not be considered the percentage of a paper that is plagiarized.
Published in Chapter:
Academic Misconduct and the Internet
David Ison (Embry-Riddle Aeronautical University (ERAU), USA)
Copyright: © 2017 |Pages: 30
DOI: 10.4018/978-1-5225-1610-1.ch004
This chapter provides a general background on the problem of plagiarism, how the Internet has been implicated as a negative influence on Academic Integrity (AI), empirical study data on the influences of the Internet on plagiarism, reasons why students may conduct plagiarism, and best practices in the use of plagiarism detection. Within the first section, three empirical studies are highlighted to indicate the actual occurrence of plagiarism in graduate education and the role the Internet may play in influencing AI. In the second section, a description of both how and why students conduct plagiarism is presented. Existing literature on the topic is explored to better inform stakeholders on the ‘why' component with suggestions for potential mitigating solutions. The subsequent section describes plagiarism detection software that is commonly in use across the globe including best practices on how to interpret detection results. Lastly, recommendations and calls for future research are provided.
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Towards Intelligent Data Processing for Automated Determination of Information System Assets
Numerical characteristic in [0,1] range based on the Jaccard index and calculated using the set of observed values of two event properties.
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