Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 4 |
Descriptor
Computer Software | 5 |
Plagiarism | 5 |
Coding | 3 |
College Students | 3 |
Computer Science Education | 3 |
Programming | 3 |
Comparative Analysis | 2 |
Foreign Countries | 2 |
Identification | 2 |
Student Attitudes | 2 |
Automation | 1 |
More ▼ |
Source
ACM Transactions on Computing… | 2 |
Assessment & Evaluation in… | 1 |
Informatics in Education | 1 |
Journal on Educational… | 1 |
Author
Joy, Mike | 5 |
Boyatt, Russell | 3 |
Cosma, Georgina | 2 |
Sinclair, Jane | 2 |
Andreou, Margarita | 1 |
Budi, Setia | 1 |
Cook, Beverley | 1 |
Griffiths, Nathan | 1 |
Karnalim, Oscar | 1 |
Kermek, Dragutin | 1 |
Novak, Matija | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Audience
Location
China | 2 |
United Kingdom | 2 |
Cyprus | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Novak, Matija; Joy, Mike; Kermek, Dragutin – ACM Transactions on Computing Education, 2019
Teachers deal with plagiarism on a regular basis, so they try to prevent and detect plagiarism, a task that is complicated by the large size of some classes. Students who cheat often try to hide their plagiarism (obfuscate), and many different similarity detection engines (often called plagiarism detection tools) have been built to help teachers.…
Descriptors: Plagiarism, Computer Software, Computer Software Evaluation, College Students
Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation
Karnalim, Oscar; Budi, Setia; Toba, Hapnes; Joy, Mike – Informatics in Education, 2019
Source code plagiarism is an emerging issue in computer science education. As a result, a number of techniques have been proposed to handle this issue. However, comparing these techniques may be challenging, since they are evaluated with their own private dataset(s). This paper contributes in providing a public dataset for comparing these…
Descriptors: Plagiarism, Computer Science Education, Comparative Analysis, Problem Solving
Cosma, Georgina; Joy, Mike; Sinclair, Jane; Andreou, Margarita; Zhang, Dongyong; Cook, Beverley; Boyatt, Russell – ACM Transactions on Computing Education, 2017
Perspectives of students on what constitutes source-code plagiarism may differ based on their educational background. Surveys have been conducted with home students undertaking computing and joint computing subject degrees at higher education institutions throughout the UK, China, and South Cyprus, and a total of 984 responses have been…
Descriptors: Foreign Countries, College Students, Plagiarism, Student Attitudes
Zhang, Dongyang; Joy, Mike; Cosma, Georgina; Boyatt, Russell; Sinclair, Jane; Yau, Jane – Assessment & Evaluation in Higher Education, 2014
There 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…
Descriptors: Foreign Countries, Plagiarism, Computer Software, College Students
Joy, Mike; Griffiths, Nathan; Boyatt, Russell – Journal on Educational Resources in Computing, 2005
Computer programming lends itself to automated assessment. With appropriate software tools, program correctness can be measured, along with an indication of quality according to a set of metrics. Furthermore, the regularity of program code allows plagiarism detection to be an integral part of the tools that support assessment. In this paper, we…
Descriptors: Plagiarism, Evaluation Methods, Programming, Feedback (Response)