Academia and Text Matching Software Essay - 1091 Words

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†¦show more content†¦Good scholarship practice can be referred to as a formal study which involves academic learning and achievement. It involves acknowledging where information used to support ideas in a particular context is gotten and citing the sources (Locke and Latham, 2009). Britag and Mahmud (2009) pointed out that different strategies which include the use of electro nic software tools such as turnitin have been derived for detecting plagiarism with the intent of allowing students’ take responsibility of their learning and also work hand in hand with their tutors in the drafting stages of their assignments. According to Britag and Mahmud (2009) manual detection of plagiarism is difficult because it is time consuming and this is the reason why some tutors are reluctant in pursuing potential cases of plagiarism. However both the manual method of plagiarism detection and the electronic text matching method should be employed (Britag and Mahmud, 2009). Scaife (2007) argued that the electronic text matching software is not the solution to eliminating plagiarism because the software only focuses on text matching of paper under review with documents (journals, articles, e-books and conference papers) found on the internet or which has been previously submitted and this is a limitation because the only detection are focused on electronic material s without considering some non-electronic paper based documents which could still be plagiarised. Walker (2010) stated that with theShow MoreRelatedKnowledge Discovery And Data Mining9834 Words   |  40 Pagesaspects is defined in this section. These kind of datasets ae able to perform effective pattern discovery and pattern generation so that valid predictions will be carried out. People in various organizations such as business, science, medicine, academia, and government collect such data and several commercial packages now offer general purpose Knowledge Discovery and Data Mining tools. 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