EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC

Authors : Manuel MEDINALABRADOR, Marcela Georgina GOMEZZERMENO, Lorena Aleman DE LA GARZA

Pages : 79-87

Doi:10.17718/tojde.770922

View : 10 | Download : 8

Publication Date : 2020-07-17

Article Type : Research Paper

Abstract :One of the problems that require a solution in Massive Open Online Courses insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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