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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference
Subtitle of host publication	Modern Educational Paradigms for Computer and Engineering Career, Proceedings
Editors	Claudio da Rocha Brito, Melany M. Ciampi
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	978-1-7281-1666-2
DOIs	https://doi.org/10.1109/EDUNINE.2019.8875802
State	Published - 1 Mar 2019
Event	EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings - Duration: 1 Mar 2019 → …

Conference

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

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

plagiarism
plagiarism detection

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EDUNINE.2019.8875802

Cite this

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. In 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 Article 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.

@inproceedings{74da77d05caf4840b02735bf95c3b1fa,

title = "Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses",

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.",

keywords = "plagiarism, plagiarism detection, plagiarism, plagiarism detection",

author = "Gonzalo Herrera and Miguel Nunez-Del-Prado and {Lazo Lazo}, {Juan G.} and Hugo Alatrista",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings ; Conference date: 01-03-2019",

year = "2019",

month = mar,

day = "1",

doi = "10.1109/EDUNINE.2019.8875802",

language = "English",

editor = "Brito, {Claudio da Rocha} and Ciampi, {Melany M.}",

booktitle = "EDUNINE 2019 - 3rd IEEE World Engineering Education Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

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. in 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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 Lazo, Juan G.

AU - Alatrista, Hugo

PY - 2019/3/1

Y1 - 2019/3/1

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

KW - plagiarism

KW - plagiarism detection

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074786341&origin=inward

UR - http://www.scopus.com/inward/record.url?scp=85074786341&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/e676e382-ebe8-3c7b-a39e-08735f6bab21/

U2 - 10.1109/EDUNINE.2019.8875802

DO - 10.1109/EDUNINE.2019.8875802

M3 - Conference contribution

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 - EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings

Y2 - 1 March 2019

ER -

Herrera G, Nunez-Del-Prado M, Lazo Lazo JG, Alatrista H. Through an agnostic programming languages methodology for plagiarism detection in engineering coding courses. In Brito CDR, Ciampi MM, editors, 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

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this