Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses

Gonzalo Herrera; Miguel Nunez-Del-Prado; Juan G. Lazo Lazo; Hugo Alatrista

doi:10.1109/EDUNINE.2019.8875802

Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses

Gonzalo Herrera
, Miguel Nunez-Del-Prado
, Juan G. Lazo Lazo
, Hugo Alatrista

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference
Subtítulo de la publicación alojada	Modern Educational Paradigms for Computer and Engineering Career, Proceedings
Editores	Claudio da Rocha Brito, Melany M. Ciampi
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	978-1-7281-1666-2
DOI	https://doi.org/10.1109/EDUNINE.2019.8875802
Estado	Publicada - 1 mar. 2019
Evento	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings - Duración: 1 mar. 2019 → …

Conferencia

Conferencia	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings
Período	1/03/19 → …

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 4: Educación de calidad
ODS 9: Industria, innovación e infraestructura
ODS 17: Alianzas para lograr los objetivos

Palabras clave

plagiarism
plagiarism detection

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10.1109/EDUNINE.2019.8875802

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Herrera, G., Nunez-Del-Prado, M., Lazo Lazo, J. G., & Alatrista, H. (2019). Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses. En C. D. R. Brito, & M. M. Ciampi (Eds.), EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings Artículo 8875802 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EDUNINE.2019.8875802

Herrera, Gonzalo ; Nunez-Del-Prado, Miguel ; Lazo Lazo, Juan G. et al. / Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses. EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings. editor / Claudio da Rocha Brito ; Melany M. Ciampi. Institute of Electrical and Electronics Engineers Inc., 2019.

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abstract = "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.",

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Herrera, G, Nunez-Del-Prado, M, Lazo Lazo, JG & Alatrista, H 2019, Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses. En CDR Brito & MM Ciampi (eds.), EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings., 8875802, Institute of Electrical and Electronics Engineers Inc., EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings, 1/03/19. https://doi.org/10.1109/EDUNINE.2019.8875802

Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses. / Herrera, Gonzalo; Nunez-Del-Prado, Miguel; Lazo Lazo, Juan G. et al.
EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings. ed. / Claudio da Rocha Brito; Melany M. Ciampi. Institute of Electrical and Electronics Engineers Inc., 2019. 8875802.

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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Herrera G, Nunez-Del-Prado M, Lazo Lazo JG, Alatrista H. Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses. En Brito CDR, Ciampi MM, editores, EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8875802 doi: 10.1109/EDUNINE.2019.8875802

Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses

Resumen

Conferencia

Nota bibliográfica

ODS de las Naciones Unidas

Palabras clave

Acceder al documento

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