EFFICIENCY OF BIOMETRIC RECOGNITION TECHNOLOGY BASED ON TYPING DYNAMICS IN MOOC

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.

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  • Aleman de la Garza, L. (2019). Modelo de Indicadores de Calidad para Cursos En-Linea, Masivos y Abiertos (MOOC) “Caso de un MOOC para el desarrollo profesional docente”. Mexico: Editorial Nomada. Consulted in https://repositorio.tec.mx/handle/11285/636171
  • AlemAn de la Garza, L., & Gomez Zermeno, M. (2019). Analysis of the relation between teaching practices and academic performance. The International Journal of Assessment and Evaluation, 26(2): 13-25. doi:10.18848/2327-7920/CGP/v26i02/13-25.
  • AlemAn, L.Y., Sancho-Vinuesa, T., y Gomez-Zermeno, M.G. (2015). Indicadores para evaluar la calidad de un curso en-linea masivo y abierto para la formacion continua. Revista Universidad y Sociedad del Conocimiento, 12(1), 104-118.
  • Ali, M.L., Monaco, J.V., Tappert, C.C. & Qiu, M. Keystroke Biometric Systems for User Authentication. Journal of Signal Processing Systems, 86, 175-187. doi:10.1007/s11265-016-1114-9
  • Cross, S. (2013). Evaluation of the OLDS MOOC curriculum design course: participant perspectives, expectations and experiences. OLDS MOOC Project, Milton Keynes. European Foundation for Quality in e-Learning (2013). The MOOC Quality Project. Recuperado de: http://mooc.efquel.org/the-mooc-quality-project/
  • Fenu, G., Marras, M., & Boratto, L. (2018). A multi-biometric system for continuous student authentication in e-learning platforms. Pattern Recognition Letters, 113(9), 83-92. doi.org/10.1016/j.patrec.2017.03.027
  • FernAndez-Ferrer, M. (2017). Democratizando la educacion a nivel mundial:¿ Ficcion o realidad? El papel de los cursos en linea masivos y abiertos. Revista profesorado.21(2), 445-457.
  • Franco-Casamitjana, M. (2005). ReseNa de “Sustaining the New Economy. Work, Family, and Community in the Information Age” de Martin Carnoy. Revista de Universidad y Sociedad del Conocimiento, 2(2). doi: http://dx.doi.org/10.7238/rusc.v2i2.255
  • Franco-Casamitjana, M., Barberà, E., y Romero, M. (2013). A Methodological Definition for Time Regulation Patterns and Learning Efficiency in Collaborative Learning Contexts. eLC Research Paper Series, 6, 52-62.
  • Gutl, C., Rizzardini, R. H., Chang, V., & Morales, M. (2014). Attrition in MOOC: Lessons Learned from Drop- Out Students. In Learning Technology for Education in Cloud-MOOC and Big Data: Third International Workshop (Vol. 446, pp. 37–48). doi:10.1007/978-3- 319-10671-7_4
  • Hernandez-Ortega, J., Daza, R., Morales, A., Fierrez, J., Ortega-Garcia, J. (2020). edBB: Biometrics and Behavior for Assessing Remote Education. The AAAI 2019 Fall Symposium Series will be held in the fall of 2019 in Arlington, Virginia adjacent to Washington DC, USA. Consulted in https://arxiv.org/pdf/1912.04786.pdf
  • INCIBE (2016). Tecnologias biometricas aplicadas a la ciberseguridad. Instituto Nacional de Ciberseguridad. Consulted in: https://www.incibe.es/protege-tu-empresa/guias/tecnologias-biometricas-aplicadas-ciberseguridad-guia-aproximacion-el
  • Menendez (2013). Estudiar ‘online’ y gratis. L A @, 80, 18-21. http://www.notariado.org/liferay/c/document_library/get_file?folderId=12092&name=DLFE-89971.pdf
  • Monaco, J. V., Stewart, J. C., Cha, S. H., & Tappert, C. C. (2013, September). Behavioral biometric verification of student identity in online course assessment and authentication of authors in literary works. In 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS) (pp. 1-8). IEEE. Consulted in http://www.csis.pace.edu/ctappert/papers/2013BTAS.pdf
  • Monrose, F., & Rubin, A. D. (2000). Keystroke dynamics as a biometric for authentication. Future Generation computer systems, 16(4), 351-359. doi: 10.1016/S0167-739X(99)00059-X
  • Morales, A., Fierrez, J., Vera-Rodriguez, R., & Ortega-Garcia, J. (2016). Autenticacion Web de Estudiantes Mediante Reconocimiento Biometrico. III Congreso Internacional sobre Aprendizaje, Innovacion y Competitividad, (8), 365-370.
  • Roth, J., Liu, X., Ross, A., & Metaxas, D. (2013, June). Biometric authentication via keystroke sound. In 2013 international conference on biometrics (ICB) (pp. 1-8). IEEE. Consulted in: https://www.cse.msu.edu/~liuxm/publication/Roth_Liu_Ross_Metaxas_ICB2013.pdf
  • Sanna, P. & Marcialis, G. (2017). Remote biometric verification for learning applications:where we are. In International Conference on Image Analysis and Processing (Vol. 10485, pp. 373–873). doi:10.1007/978-3-319-68548-9_35
  • Siemens, G., y Long, P. (2011). Penetrating the fog: Analytics in learning and education. Educause Review, 46(5).
  • Tapiador, M. (2005). Tecnologias Biometricas Aplicadas a la Seguridad”, Madrid, EspaNa: Editorial Rama.
  • VelAzquez Sortino, M., Gomez Zermeno M. G. y Aleman de la Garza, L. (2017). Ic. Propuesta para un modelo de anAlisis. Digital Education Review, 31, 149-175
  • Vilar, R., C. Flores, C., Alvarez, J., Blasco, J., Grau, S., Navarro, I., Lledo, A., Lopez, E., Lorenzo, G., Martinez, M., Mengual, S., Mulero, J., Perandones, T., Rodriguez, C., Segura, A., Suarez, C., y Tortosa, M. (2013). Caracteristicas de los ambientes de aprendizaje online para una prActica docente de calidad. Indicadores de evaluacion. Presentado en las XI Jornadas de Redes de Investigacion en Docencia Universitaria
  • Zambrano, J., Cano, L., & Presiga, K. (2017). Virtualidad y MOOC desde la perspectiva de estudiantes universitarios. Virtualidad, Educacion y Ciencia, 8(15), 106-119. Consulted in: https://revistas.unc.edu.ar/index.php/vesc/article/view/18961