Carlos Alberto Baltazar Vilchis
ABSTRACT
This article describes the construction of an instrument based on the Cisco CCNA 100-101 (ICND1), 200-101 (ICND2) and 200-120 (CCNA R & S) certifications to analyze the existing databases in the Moodle LMS system of the exams applied to the students of the Major in Business and Computer Science (LIA) of the University Center Atlacomulco (CUA) belonging to the Autonomous University of the State of Mexico (UAEM) during the school years 2016 to 2019 to the subject "Communication between Computers" through of a pretest at the beginning and a posttest at the end of each school year, which will allow to assess the degree of self-perception of competence and identify those students who could compete for a probable certification of this company. The results obtained provide evidence on the quality of the instrument that presents a structure of 11 factors. Specifically, it has an internal consistency between .883 and .947 of Cronbach´s Alpha measurement for each pre-test & post-test applied and the exploratory factor analysis, which was intended to be developed, was not necessary due to the ipsativity of the data, which means that the instrument has evidence of reliability and validity that allows exploring the competences of the students in this subject.
- FCA. 2019. Licenciatura en Informática Administrativa.Google Scholar
- Chimal. C. 2014. Centro Universitario UAEM Atlacomulco XXX Aniversario. Universidad Autónoma del Estado de México. Secretaría de rectoría. Dirección de identidad universitaria. Colegio de cronistas.Google Scholar
- FCA. 2018. Nuevo Mapa Curricular 2018.Google Scholar
- A. Conti, O. Denas and F. Visentin. 2014. "Knowledge Specialization in Ph.D. Student Groups," in IEEE Transactions on Engineering Management, vol. 61, no. 1, pp. 52--67. Doi: 10.1109/TEM.2013.2283039Google ScholarCross Ref
- Durso, Samuel de Oliveira, Cunha, Jacqueline Veneroso Alves da, Neves, Patrícia Antonacci, & Teixeira, Joana Darc Vilaça. 2016. Motivational Factors for the Master's Degree: a Comparison between Students in Accounting and Economics in the Light of the Self-Determination Theory. Revista Contabilidade & Finanças, 2771, 243--258. https://dx.doi.org/10.1590/1808-057x201602080Google Scholar
- Fernández. A, Peralta D, Benítez. J, Herrera. F. 2014. E-learning and educational data mining in cloud computing: an overview. International Journal of Learning Technology IJLT, Vol. 9, No. 1, 2014.Google Scholar
- Liu. M, Huang. Y. 2017. The use of data science for education: The case of social-emotional Learning.Google Scholar
- Dhar. V. 2013. Data science and prediction. Commun. ACM 5612, 64--73. Doi: 10.1145/2500499.Google ScholarDigital Library
- García. J, Molina. J, Berlanga. A, Patricio. M, Bustamante. A, Padilla. W. 2018. Ciencia de datos. Técnicas analíticas y aprendizaje estadístico. Alfaomega Grupo Editor S.A. de C.V. ISBN: 978-84-947319-6-9Google Scholar
- Brunskill. E, McFarland. D. 2019. Data Science for Education.Google Scholar
- Creswell, R. 2014, Research design: qualitative, quantitative, and mixed methods approaches, Sage Publications, USA.Google Scholar
- Hair. J, Black. W, Babin. B. 2009. Multivariate data analysis, 7th Ed. Upper Saddle River, NJ: Prentice-Hall.Google Scholar
- Pett. M, Lackey. N, Sullivan. J. 2003. Making sense of factor analysis. Thousand Oaks, CA: Sage.Google Scholar
- Bartlett. M. 1950. Tests of significance in factor analysis. Br J Psychol.Google Scholar
- Gorsuch. R. 1983. Factor analysis 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.Google Scholar
- Ariganello. E. 2014. REDES CISCO: Guía de estudio para la certificación CCNA Routing y Switching. RA-MA, S.A. Editorial y Publicaciones. ISBN: 978-84-9964-272-7. Madrid, España.Google Scholar
- Cattell, R. B. 1952 Factor Analysis. New York: Harper & Row. "Psychological measurement: ipsative, normative and interactive." Psych. Rev. Rev. 51: 292--303.Google ScholarCross Ref
- McLean, J. E., Chissom, B. S. 1986. Multivariate Analysis of Ipsative Data: Problems and Solutions. Annual Meeting of the Mid-South Educational Research Association Memphis, TN, November 19-21, 1986, pp. 83--94.Google Scholar
Index Terms
- Proposal of an Instrument for Measuring Educational Quality based on the Cisco CCNA 100-101 (ICND1), 200-101 (ICND2) and 200-120 (CCNA R&S) Certifications
Comments