Group items tagged

Note 1: Widespread access to the Internet and other electronic media has served as something of a double-edged sword with respect to plagiarism; the Web allows students to plagiarism with cut-and-paste ease, but also allows academics to more easily identify the source of the plagiarized material when plagiarism is suspected(Lyon, Barrett, and Malcolm 2006). Note 2: The Internet allow suspicious student writing to be more quickly compared to other sources using a standard internet search engine, leaving the detection of suspicious writing as the principle challenge. Note 3:  given that some systems now permit students to upload their own writing to check for plagiarism in advance of submitting assignments, rates of unintentional plagiarism may drop, making the remaining intentional plagiarism easier to detect. Note 4: Others argue that the adoption of a plagiarism-detection system will not only aid faculty in detecting plagiarism, but will serve as a deterrent to plagiarism in the first place. Note 5: For example, Kraemer (2008) has argued that students who are made aware that plagiarism-detection technologies are in use should, at a minimum, avoid intentionally copying from other sources because of the near certainty that they will be caught. Further, for those students who may unintentionally plagiarize out of ignorance about the rule of citation, the use of plagiarism-detection software may motivate them to better inform themselves about citations and to double-check their own papers for unintentional plagiarism.

Note 1: Most researchers conclude that digital plagiarism - Internet pr computer-driven copying without attribution - is rampant(e.g., Macdonald & Carroll, 2006; Walker, 2010) and has been for some time. Note 2: In short, computer technology and the Internet now make plagiarism an easy enterprise. A major implication of this state of affairs is that faculty will need to be more diligent in their efforts to mitigate the practice, especially those who educate large number of students (Ledwith & Risquez, 2008) Note 3:  Consequently,plagiarism detection systems offer educational research a direct empirical measurement of the behavior rather than speculation based on hearsay. Note 4: In addition to catching plagiarism when it occurs, detection systems also can be useful in deterring plagiarism outright. Note 5: a large body of evidence suggests that this software can be  an effective tool in detecting plagiarism(e.g., Batane, 2010; Ogilvie & Stewart, 2010; Tackett et al, 2010; Walker, 2010). 

Note 1:  Thus, it is important to explore the potential of using current technology to identify and deter plagiarism. Note 2: Thus, students in the 2nd and subsequent semesters may have ha a stronger belief that plagiarism would be detected than did the students in the 1st semester. If the students in the 2nd ans subsequent semesters believed more strongly that plagiarism could be detected. Note 3: The subsequent reduction in the last 3 semesters may indicate that, in general, the students were convinced.

Definition and examples of plagiarism.

definition of plagiarism

1. Digital Access:   full electronic participation in society. 2. Digital Commerce:   electronic buying and selling of goods. 3. Digital Communication:   electronic exchange of information. 4. Digital Literacy:   process of teaching and learning about technology and the use of technology. 5. Digital Etiquette:   electronic standards of conduct or procedure. 6. Digital Law:   electronic responsibility for actions and deeds 7. Digital Rights & Responsibilities:   those freedoms extended to everyone in a digital world. 8. Digital Health & Wellness:   physical and psychological well-being in a digital technology world. 9. Digital Security (self-protection):   electronic precautions to guarantee safety.

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