About this paper

Appears in:
Pages: 7369-7376
Publication year: 2016
ISBN: 978-84-608-5617-7
ISSN: 2340-1079
doi: 10.21125/inted.2016.0074

Conference name: 10th International Technology, Education and Development Conference
Dates: 7-9 March, 2016
Location: Valencia, Spain

CATCHING PLAGIARISTS: DETECTING PLAGIARISM IN STUDENT SOURCE CODE ASSIGNMENTS IN A VIRTUAL LEARNING ENVIRONMENT

G. Obaido, P. Ranchod, R. Klein

University of the Witwatersrand, Johannesburg (SOUTH AFRICA)
The widespread problem of plagiarism in academic environment is as old as academia itself. The spate of plagiarism has sparked lots of controversies in academics and it has received renewed interest as a result of advancement in technology, which has made the cheating process effortless to explore.

In undergraduate courses, especially in the computing discipline, students are expected to submit source codes which are graded for originality and correctness, which also contribute to a final grade of a programming course. Yet, students engage in different forms of cheating and devise several means to deceive their instructors. Student engagement in performing programming assignments is allowed but, it is expected that each and every source code must be solely produced by a student. However, in a real context, the reverse seems to be the case.

Several algorithms and tools to detect suspicious similarities in source code have been developed; different techniques have been revamped for this purpose. Although, there is still a growing concern of reporting true cases of cheating in a virtual learning environment.

This paper describes the development of a plagiarism detection plugin for MOSS (Moodle Anti-plagiarism engine); adapted with a graph-based approach in exposing suspicious cases of plagiarism in a virtual learning environment.
@InProceedings{OBAIDO2016CAT,
author = {Obaido, G. and Ranchod, P. and Klein, R.},
title = {CATCHING PLAGIARISTS: DETECTING PLAGIARISM IN STUDENT SOURCE CODE ASSIGNMENTS IN A VIRTUAL LEARNING ENVIRONMENT},
series = {10th International Technology, Education and Development Conference},
booktitle = {INTED2016 Proceedings},
isbn = {978-84-608-5617-7},
issn = {2340-1079},
doi = {10.21125/inted.2016.0074},
url = {http://dx.doi.org/10.21125/inted.2016.0074},
publisher = {IATED},
location = {Valencia, Spain},
month = {7-9 March, 2016},
year = {2016},
pages = {7369-7376}}
TY - CONF
AU - G. Obaido AU - P. Ranchod AU - R. Klein
TI - CATCHING PLAGIARISTS: DETECTING PLAGIARISM IN STUDENT SOURCE CODE ASSIGNMENTS IN A VIRTUAL LEARNING ENVIRONMENT
SN - 978-84-608-5617-7/2340-1079
DO - 10.21125/inted.2016.0074
PY - 2016
Y1 - 7-9 March, 2016
CI - Valencia, Spain
JO - 10th International Technology, Education and Development Conference
JA - INTED2016 Proceedings
SP - 7369
EP - 7376
ER -
G. Obaido, P. Ranchod, R. Klein (2016) CATCHING PLAGIARISTS: DETECTING PLAGIARISM IN STUDENT SOURCE CODE ASSIGNMENTS IN A VIRTUAL LEARNING ENVIRONMENT, INTED2016 Proceedings, pp. 7369-7376.
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