Academia and Text Matching Software

Topics: Academia, Plagiarism, Academic dishonesty Pages: 3 (1092 words) Published: November 12, 2012
 

Critically evaluate the use of text matching software as an aid to developing good scholarship practice Introduction
Academic dishonesty such as plagiarism has been a major factor in education that has affected students’ success and academic achievements in recent years. Plagiarism according to Park (2003) is the act of appropriating or copying another person’s work and passing them on as one’s idea without acknowledging the original source. Park (2003) noted that plagiarism is a growing problem and has been a misuse of the writings of another author, their ideas, hypothesis, theories, research findings and interpretations. Furthermore studies by Chao, Wilhelm and Neureuther (2009) emphasised that the rising trend of plagiarism among students can be attributed to several factors such as academic literacy, language competence and the technological advancements in the world today in terms of high speed internet facility available in hostels and computer labs. These factors according to Chao, Wilhelm and Neureuther (2009) has enhanced the ability of students to plagiarise a whole assignment by obtaining papers on the internet relating to their assignments which is as easy as copying and pasting. Park (2003) stated that students have different perceptions towards plagiarism. He noted that students view plagiarism as a minor offence which is different from cheating in exams. He further discovered that plagiarism could be unintentional (ibid). This is because some students possess a mental illusion in which they believe they have produced something from their own perspective while infact they are reproducing something which they have read from another author. The purpose of this paper is to critically evaluate the effect of text matching software as an aid to developing good scholarship practice. This paper will begin by briefly describing what good scholarship practise is. In addition the use of text matching software for...


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Chao, C., Wilhelm, W.J., Neureuther, B.D. (2009.) 'A Study of Electronic Detection and Pedagogical Approaches for Reducing Plagiarism ', The Delta Pi Epsilon Journal, Vol. 51, No. 1, pp. 31-42.
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Park, C. (2003) 'In Other (People’s) Words: plagiarism by university students—literature and lessons ', Assessment & Evaluation in Higher Education, Vol. 28, No. 5, pp. 472-488.
Scaife, B (2007) IT Consultancy Plagiarism Detection Software Report for JISC Advisory Service.  [Online]. Retrieved from:www.plagiarismadvice.org/documents/resources/PDReview-Reportv1_5.pdf [Accessed 24th October 2012].
Walker, J. (2010) 'Measuring plagiarism: researching what students do, not what they say they do ', Studies in Higher Education, Vol. 35, No. 1, pp. 41-59.
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