Typically installed on an individual computer or local server, analyze a designated local collection of documents. These systems do not analyze text on the open web or company owned remote servers.
These analyze designated documents or text against content on the Internet.
An interrogative approach detector works with a set of documents preselected by the faculty member. Rather then a straight text analysis, suspicious text is converted to blanks. Within the system the student then retypes the missing text. The system uses speed and accuracy to determine familiarity with the text. Less familiarity points to increased chances of plagiarism.
These systems analyze text against both a local document set and content on the Internet.
Heather, J. (2010). Turnitoff: Identifying and Fixing a Hole in Current Plagiarism Detection Software. Assessment & Evaluation in Higher Education, 35(6), 647-660. DOI: 10.1080/02602938.2010.486471 [Full Text]
Jaschik. S. (2010, January 26). Plagiarism Prevention Without Fear. Inside Higher ED. [Full Text]
Kakkonen, T. & Mozgovoy, M. (2010). Hermetic and Web Plagiarism Detection Systems for Student Essays-An Evaluation of the State-of-the-Art. Journal of Educational Computing and Research, 42(2), 135-159. DOI: 10.2190/EC.42.2.a [Available in Milner]
Morgan, P. & Vaughn, J. (2010). The Case of the Pilfered Paper: Implications of Online Writing Assistance and Web-Based Plagiarism Detection Services. PS: Political Science and Politics, 43(4), 755-758. DOI: 10.1017/S1049096510001228 [Full Text]
Thomas, M. & Rudin, S. (2008). Plagiarism Detection Software. Proceedings from E-Leader Bangkok. [Full Text]
Illinois State University
Campus Box 8900
201 North School Street
Normal, Il 61790-8900