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Didactic evolution of similarity detection software : the example of Compilatio

Agnès, Frédéric
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Agnès, Frédéric
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Keywords
anti-plagiarism software
compilatio (software)
academic integrity
digital technologies
pedagogy
character education
GE Subjects
Professional behaviour in the education sector
Research ethics
Cheating and plagiarism
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Research Ethics Series
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GE_Research_Ethics_2_Ch24.pdf
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http://hdl.handle.net/20.500.12424/4273128
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Abstract
Since 2005, Compilatio has been offering tools to help detect and prevent plagiarism. Users of similarity detection software were initially attracted by the ability to track down cheaters. They are now more aware of the tools and services offered to create an environment that encourages the adoption of integrity and citizenship values, especially digital ones. They are aware that plagiarism is not a passing evil to be eradicated, but a deep-seated temptation that each individual must learn to overcome. The technology used to help teachers spot cheating has also evolved. The approach was initially syntactic, comparing texts formally to detect similarities. It then became semantic, using so-called artificial intelligence techniques to find similarities between different words with the same meaning. The issues related to plagiarism prevention illustrate how technology and pedagogy can be used together to train individuals for their future professional and civic life.
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Book chapter
Date
2023
Identifier
ISBN
9782889315178
DOI
10.58863/20.500.12424/4273128
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Globethics Publications
Attribution-NonCommercial-NoDerivatives 4.0 International
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