Abstract
The detection of intra-cohort plagiarism is often
difficult in virtue of the quantity of material that must be
compared. This can be limited by imposing constraints on
the granularity of comparisons and through heuristic
approaches to content comparison. Plagiarism sourced out
with a group cohort is more difficult to detect, although
Internet-based resources are the principal basis for such
comparisons. This paper describes a survey of course work
submissions from several computer science classes. The
survey purpose was to determine the historical level and
extent of plagiarism across electronically submitted
assignments. This paper also describes our plans for using
automated means of detecting plagiarism against future
submissions. An approach to document tagging is
described which supports the detection of contamination
across documents within a cohort.
Original language | English |
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Number of pages | 2 |
Publication status | Published - 2004 |
Event | 34th ASEE/IEEE Frontiers in Education Conference - Georgia, USA Duration: 20 Oct 2004 → 23 Oct 2004 |
Conference
Conference | 34th ASEE/IEEE Frontiers in Education Conference |
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City | Georgia, USA |
Period | 20/10/04 → 23/10/04 |
Keywords
- plagiarism
- copying
- software
- intra-cohort plagiarism