TY - GEN
T1 - Through an Agnostic Programming Languages Methodology for Plagiarism Detection in Engineering Coding Courses
AU - Herrera, Gonzalo
AU - Nunez-Del-Prado, Miguel
AU - Lazo, Juan G.Lazo
AU - Alatrista, Hugo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - Nowadays all engineering students must possess coding skills in several programming languages. Regrettably, students do not perceive the importance of such skills often. Instead, they look for risky shortcuts to accomplish projects or homework in programming courses by copying the code from their colleagues or internet sources. Therefore, in programming languages courses it is necessary to identify this kind of activity well known as plagiarism. The idea behind plagiarism detection is to correct this attitude, raise the morale of the course and show the importance of programming for the training of the future engineer. In the present effort, we develop an automatic, fast and efficient methodology to detect code plagiarism without the professor intervention or code comparison. The results seem promising since the applied mythology detected plagiarism that was confirmed by students afterwards.
AB - Nowadays all engineering students must possess coding skills in several programming languages. Regrettably, students do not perceive the importance of such skills often. Instead, they look for risky shortcuts to accomplish projects or homework in programming courses by copying the code from their colleagues or internet sources. Therefore, in programming languages courses it is necessary to identify this kind of activity well known as plagiarism. The idea behind plagiarism detection is to correct this attitude, raise the morale of the course and show the importance of programming for the training of the future engineer. In the present effort, we develop an automatic, fast and efficient methodology to detect code plagiarism without the professor intervention or code comparison. The results seem promising since the applied mythology detected plagiarism that was confirmed by students afterwards.
KW - plagiarism
KW - plagiarism detection
UR - https://www.scopus.com/pages/publications/85074786341
U2 - 10.1109/EDUNINE.2019.8875802
DO - 10.1109/EDUNINE.2019.8875802
M3 - Conference contribution
AN - SCOPUS:85074786341
T3 - EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings
BT - EDUNINE 2019 - 3rd IEEE World Engineering Education Conference
A2 - Brito, Claudio da Rocha
A2 - Ciampi, Melany M.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE World Engineering Education Conference, EDUNINE 2019
Y2 - 17 March 2019 through 20 March 2019
ER -