Education Commons^™

Adoption And Use Of Plagiarism Software By Postgraduate Students In Universities In South-West, Nigeria, Olusegun Adebayo Opesanwo, Hannah Okon Anwana

Library Philosophy and Practice (e-journal)

Over the years, there has been an increase awakening on plagiarism and the need to curb it, especially among postgraduate students. Hence, the need for them to have a good knowledge of plagiarism software.

This study investigates the adoption and use of plagiarism software among postgraduate students in universities in South-west Nigeria. Employing a survey research design and random sampling, thirty-four postgraduate students from each of the universities were selected.

The findings of the study revealed a moderate level of awareness among the respondents regarding the availability of plagiarism software. The frequency of use was also found to be low, …

Cheating In Online Courses For Financial Aid Fraud In The U.S., Robert S. Owen

Administrative Issues Journal

This manuscript reviews issues that differentiate traditional academic cheating from course misconduct that is motivated by a desire to defraud financial aid services in the U.S. Past research on college student cheating has assumed that cheaters are driven by an incentive to obtain undeserved grades in college in order to ultimately obtain a degree. However, researchers on academic dishonesty, professors, and college administrators might not realize that online class members can include virtual "straw" students who are puppets of a financial aid fraud ring leader. Cheating behaviors of straw students differ from cheating behaviors of actual, legitimate students. This has …

Academic Integrity Report, 2016, Joan Sweeney-Marsh, Danielle Palombi

Publications and Scholarship

At Sheridan, originality matters; prevention and education to reduce breaches of academic integrity (AI) is our shared responsibility. This past year, Library and Learning Services explored what an Integrated AI Model might look like at Sheridan. Extensive research including a literature review and interviews with experts from universities across North America was carried out.

This report summarizes the findings and includes recommendations for an Integrated AI Model.