EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC

Manuel Medına-labrador; Marcela Georgina Gomez-zermeno; Lorena Aleman De La Garza

doi:10.17718/tojde.770922

EN

EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC

Abstract

One of the problems that require a solution in Massive Open Online Courses (MOOC) is the lack of identification and authentication of the students. Different investigations have been carried out through several navigation, physiological and behavioral methods, achieving different recognition scales. Biometric authentication by keystroke patterns (Ups&Downs) has been implemented in several MOOCs for the ease of the digital platforms of the offeror to solve the identification problem. The objective of this research is to analyze the independence of the keystroke tool of the other demographic, sociographic and behavioral variables within a MOOC, establishing an initial pattern, and two authentication measurements throughout the course. The results show that the keystroke is independent of the analyzed variables, and it is reliable to identify the students in qualitative tests with extension answers.

Keywords

Biometrics, identification, MOOC, pulsations

References

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Manuel Medına-labrador ^* This is me
0000-0001-6781-9481
Colombia

Marcela Georgina Gomez-zermeno This is me
0000-0002-5427-2891
Mexico

Lorena Aleman De La Garza This is me
Mexico

Publication Date

July 17, 2020

Submission Date

July 10, 2019

Acceptance Date

June 10, 2020

Published in Issue

Year 2020 Volume: 21 Number: Special Issue-IODL

DOI

https://doi.org/10.17718/tojde.770922

IZ

https://izlik.org/JA69DX24KS

APA

Medına-labrador, M., Gomez-zermeno, M. G., & De La Garza, L. A. (2020). EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC. Turkish Online Journal of Distance Education, 21(Special Issue-IODL), 79-87. https://doi.org/10.17718/tojde.770922

AMA

1.Medına-labrador M, Gomez-zermeno MG, De La Garza LA. EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC. TOJDE. 2020;21(Special Issue-IODL):79-87. doi:10.17718/tojde.770922

Chicago

Medına-labrador, Manuel, Marcela Georgina Gomez-zermeno, and Lorena Aleman De La Garza. 2020. “EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC”. Turkish Online Journal of Distance Education 21 (Special Issue-IODL): 79-87. https://doi.org/10.17718/tojde.770922.

EndNote

Medına-labrador M, Gomez-zermeno MG, De La Garza LA (July 1, 2020) EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC. Turkish Online Journal of Distance Education 21 Special Issue-IODL 79–87.

IEEE

[1]M. Medına-labrador, M. G. Gomez-zermeno, and L. A. De La Garza, “EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC”, TOJDE, vol. 21, no. Special Issue-IODL, pp. 79–87, July 2020, doi: 10.17718/tojde.770922.

ISNAD

Medına-labrador, Manuel - Gomez-zermeno, Marcela Georgina - De La Garza, Lorena Aleman. “EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC”. Turkish Online Journal of Distance Education 21/Special Issue-IODL (July 1, 2020): 79-87. https://doi.org/10.17718/tojde.770922.

JAMA

1.Medına-labrador M, Gomez-zermeno MG, De La Garza LA. EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC. TOJDE. 2020;21:79–87.

MLA

Medına-labrador, Manuel, et al. “EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC”. Turkish Online Journal of Distance Education, vol. 21, no. Special Issue-IODL, July 2020, pp. 79-87, doi:10.17718/tojde.770922.

Vancouver

1.Manuel Medına-labrador, Marcela Georgina Gomez-zermeno, Lorena Aleman De La Garza. EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC. TOJDE. 2020 Jul. 1;21(Special Issue-IODL):79-87. doi:10.17718/tojde.770922

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