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“Plagiarism
occurs when a writer deliberately uses someone else’s language, ideas, or other
original (not common-knowledge) materials without acknowledging its source”
(Council of Writing Program Administrators, 2003). Since plagiarism adversely affects academic integrity, efforts should be
made to minimize its occurrence. Palloff (n.d.) has explained that while cases
of plagiarism in the online environment are more visible than the face to face
environment, research seems to indicate that cases of plagiarism in the online
environment are as prevalent as in the face to face environment.
Plagiarism
detection software
While the risk and/or opportunity of indulging in plagiarism is greater
in the online environment because of the ease of use of the “copy and paste”
facility, the ability to detect plagiarism has significantly increased due to
the availability and use of plagiarism detection software such as Turnitin (Jocoy
& DiBiase, 2006). A study conducted by Bull, Colins, Coughlin and Sharp
(2000) revealed that most of the available software tools were relatively
effective at detecting plagiarism. However, the same study also noted that “there is not a
single service or software tool that will detect all sources of plagiarised material encountered by academics” (p.5.)
in particular content from electronic
discussion boards and conventional paper based books and theses.
Concerns have also been raised about the non-use of available plagiarism
detection software by some faculty. A study conducted by Brown , Jordan ,
Rubin and Arome (2010) revealed that less than ten percent of faculty were using
the available Turnitin plagiarism detection software. While non-users gave
different reasons for not using the software, the most frequent reason given was
the belief that the professor could detect plagiarism without making use of the
software. Rather than placing too much reliance on software to detect and
prevent all cases of plagiarism and cheating, Palloff (n.d.) and other scholars
have suggested that there is need to develop a wide range of strategies aimed
at detecting and deterring student dishonesty.
Additional
strategies
Some faculty prefer to use assessment design as a means of discouraging
dishonesty. For example, this can be achieved by designing assessments that
require students to demonstrate application of knowledge. Other faculty have
reported using plagiarism detection software to teach students how to cite (Brown , Jordan ,
Rubin & Arome, 2010). One strategy that is often overlooked is to educate
students about plagiarism and the need to uphold academic integrity. Students
also need information on what constitutes plagiarism and cheating because
certain practices that are considered to be academic dishonesty might not be that
apparent to the students. For example, re-using your work from previous courses
is considered cheating (Palloff, n.d.).
References
Bull, J., Colins, C., Coughlin, E., & Sharp, D. (2000). Technical
review of plagiarism detection software report. Retrieved from
Brown, V.,
Jordan, R., Rubin, N., & Arome, G. (2010). Strengths and weaknesses of plagiarism
detection software. Journal of Literacy and Technology, 11(1/2),
110-131. Retrieved from Education Research Complete database.
Council of Writing Program
Administrators (2003). Defining and avoiding plagiarism: The WPA statement on best
practices. Retrieved from
Jocoy, C.,
& DiBiase, D. (2006). Plagiarism by adult learners online: A case study in
detection and remediation. International
Review of Research in Open & Distance Learning, (1), 1-15. Retrieved
from Education Research Complete database.
Palloff,
R. (Walden University ).
(n.d.). Plagiarism
and cheating. [DVD].