Abstract:
Although every educational institution has a code of academic honesty, they still encounter incidents of plagiarism. These are difficult and time-consuming to detect and ...Show MoreMetadata
Abstract:
Although every educational institution has a code of academic honesty, they still encounter incidents of plagiarism. These are difficult and time-consuming to detect and deal with. This paper explores the use of personalized assessments with the goal of reducing incidents of plagiarism, proposing a personalized assessment software framework through which each student receives a unique problem set. The framework not only auto-generates the problem set but also auto-marks the solutions when submitted. The experience of using this framework is discussed, from the perspective of both students and staff, particularly with respect to its ability to mitigate plagiarism. A comparison of personalized and traditional assignments in the same class confirms that the former had far fewer observed plagiarism incidents. Although personalized assessment may not be cost-effective in all courses (such as language courses), it still can be effective in areas such as mathematics, engineering, science, and computing. This paper concludes that personalized assessment is a promising approach to counter plagiarism.
Published in: IEEE Transactions on Education ( Volume: 60, Issue: 2, May 2017)
Department of Computer Science, University of Auckland, Auckland, New Zealand
Sathiamoorthy Manoharan received the Ph.D. degree in computer science from the University of Edinburgh, Edinburgh, Scotland.
He is a Senior Lecturer with the Department of Computer Science, University of Auckland, Auckland, New Zealand.
Sathiamoorthy Manoharan received the Ph.D. degree in computer science from the University of Edinburgh, Edinburgh, Scotland.
He is a Senior Lecturer with the Department of Computer Science, University of Auckland, Auckland, New Zealand.View more
Department of Computer Science, University of Auckland, Auckland, New Zealand
Sathiamoorthy Manoharan received the Ph.D. degree in computer science from the University of Edinburgh, Edinburgh, Scotland.
He is a Senior Lecturer with the Department of Computer Science, University of Auckland, Auckland, New Zealand.
Sathiamoorthy Manoharan received the Ph.D. degree in computer science from the University of Edinburgh, Edinburgh, Scotland.
He is a Senior Lecturer with the Department of Computer Science, University of Auckland, Auckland, New Zealand.View more