. She has published around 30 scientific articles primarily in the area of mobile learning.
Source-code plagiarism in universities -A comparative study of student perspectives in China and the UKThere has been much research and discussion relating to variations in plagiaristic activity observed in students from different demographic backgrounds. Differences in behaviour have been noted in many studies although the underlying reasons are still a matter of debate. Existing work focuses mainly on textual plagiarism and most often derives results by studying (small) groups of overseas students studying in a Western context. This study investigates understanding of source-code plagiarism (i.e. plagiarism of computer programs) amongst university students in China. The survey instrument was a Chinese translation of a survey previously administered in English in the UK. This paper reports the results of the exploratory survey conducted in China and compares these results to those from the same survey conducted in the UK. The results show that there is a significant difference in understanding between the respondents from the two surveys, and suggest topics which a future and more comprehensive study may focus on.Keywords: source-code; plagiarism; UK; china
IntroductionPlagiarism in the academic community is regarded as malpractice and much work has been conducted on how to detect plagiarism, and how to prevent plagiarism by educating students that it is unacceptable behaviour (Bradley, 2011;Twomey et al., 2009). A large volume of pedagogic material is available on university websites and other websites aimed at instructing students about plagiarism avoidance.Detection tools and services such as Turnitin (submit.ac.uk) are available to assist in the process of detecting plagiarism in student coursework consisting of essays and dissertations.In the computing disciplines, much coursework consists of computer programs, and the source-code for these can be plagiarised in a similar way to the contents of an essay. Tools exist to assist in plagiarism detection, such as MOSS (Bowyer and Hall, 1999), JPlag (Prechelt et al., 2002) and Sherlock (Joy and Luck, 1999), but such tools are relatively immature, since these do not detect plagiarism sources originating from the internet.The incidence of (textual) plagiarism and the motives behind it have often been viewed from a demographic and in particular, cultural, perspective. The IPPHEAE project ("Impact of Policies for Plagiarism in Higher Education Across Europe" -ippheae.eu) is currently comparing and evaluating the policies and procedures for detecting and preventing plagiarism, within the countries of the EU, and it is hoped that the further substantial data collected from both staff and students will shed light on the Greece, noted a number of possible factors. These include proficiency in written English, different expectations relating to the examination process (in some countries, for example, assessment is almost completely by written examination), and differing understan...