Validation/Ratification of the COVID-19 post-pandemic teaching process in higher education through the usage of the SEEQ survey.
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https://orcid.org/0000-0002-4832-3058
Violeta Hidalgo Izquierdo
https://orcid.org/0000-0001-6019-8336
Abstract
The COVID-19 pandemic has changed the teaching-learning process at all different levels of education, as well as it has changed people's lives around the world. Introduction: We have carried out this research with students of Information and Security, a subject taught in two university degrees at Extremadura University. For that purpose, we have used and analysed the data collected from the academic year 2012-13 to the current year 2021-22. Purposes: By using the validated SEEQ survey, our goal will be to prove whether there has been a significant change in the teaching-learning process since the COVID-19 pandemic in higher education, in particular in the field of Computer and Telematics Engineering. Methodology: A statistical analysis of the results of the SEEQ survey was carried out employing the SPSS programme. For this, all the data collected have been divided into two large groups, one called pre-pandemic (with the data related to the year 2019-20) and the other one called post-pandemic (with the data corresponding to the two subsequent years). Results: The statistical analysis of the data requires the usage of non-parametric tests since the conditions of normality are not met in the Kolmogorov-Smirnov and Shapiro-Wilks tests. Consequently, we have applied the Mann-Whitney U methodology, wherein in all cases, the result obtained retains the null hypothesis, which indicates that the changes are not significant. Conclusions: The general conclusion of this research is that, if the average of all categories of the SEEQ survey continues to increase, this change is not statistically significant. It is also very important to underline that the mean of all categories is above the mean on the Likert scale; in fact, the vast majority are around 4 points out of 5, which is a very positive result.
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Arias, F. (2006). El proyecto de investigación: Introducción a la metodología científica., Caracas. Episteme, 134.
Arias Masa, J. (2021). ficha 12a-Seguridad de la Información. Retrieved March 15, 2022, from http://campusvirtual.unex.es/portal/
Arias Masa, J., Espada, R. M., Becerra, M. T., Vas, J. A. C., & Delgado, S. C. (2017). The SEEQ questionnaire for validating the teaching improvement when introducing digital storytelling in higher education. In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1–6). IEEE.
Balam, E. M., & Shannon, D. M. (2010). Student ratings of college teaching: A comparison of faculty and their students. Assessment & Evaluation in Higher Education, 35(2), 209–221.
Cedeño Viteri, N. (2012). La investigación mixta, estrategia andragógica fundamental para fortalecer las capacidades intelectuales superiores. Revista Científica, 2(2).
Ginns, P., Prosser, M., & Barrie, S. (2007). Students’ perceptions of teaching quality in higher education: The perspective of currently enrolled students. Studies in Higher Education, 32(5), 603–615.
Hurtado Rubio, M. J., & Silvente Berlanga, V. (2012). Cómo aplicar las pruebas paramétricas bivariadas t de Student y ANOVA en SPSS. Caso práctico. REIRE, 5(2).
López Pastor, V. M. (2009). Evaluación formativa y compartida en Educación Superior: Propuestas, técnicas, instrumentos y experiencias. Narcea Ediciones.
Lorca Montoya, S., Carrera, X., & Casanovas Català, M. (2016). Análisis de herramientas gratuitas para el diseño de cuestionarios on-line. Pixel-Bit: Revista de Medios y Educación, 2016, Num. 49, p. 91-104.
Maguiña Vargas, C., Gastelo Acosta, R., & Tequen Bernilla, A. (2020). El nuevo Coronavirus y la pandemia del Covid-19. Revista Médica Herediana, 31(2), 125–131.
Maldonado Luna, S. M. (2012). Manual Práctico Para El Diseño De La Escala Likert. Xihmai, 2(4 SE-Recensiones). https://doi.org/10.37646/xihmai.v2i4.101
MARSH, H., & Roche, L. (1970). SEEQ Students’ Evaluation of Educational Quality: Multiple Dimensions of University Teacher Self-concept. Instructional Science, 8(5), 439–469.
Marsh, H. W. (1982). SEEQ: A RELIABLE, VALID, AND USEFUL INSTRUMENT FOR COLLECTING STUDENTS’EVALUATIONS OF UNIVERSITY TEACHING. British Journal of Educational Psychology, 52(1), 77–95.
Marsh, H. W. (1984). Students’ evaluations of university teaching: Dimensionality, reliability, validity, potential baises, and utility. Journal of Educational Psychology, 76(5), 707.
Matés, M. V. V., & Bouzada, M. I. C. (2010). Valoración de la enseñanza: SEEQ. Revista de Formación e Innovación Educativa Universitaria. Vol, 3(4), 182–193.
Morze, N., Makhachashvili, R., & Zhyltsov, O. (2016). COLLABORATION IN RESEARCH ACTIVITIES: ICT TOOLS ASSESSMENT.
Nie, N. H., Bent, D. H., & Hull, C. H. (1970). SPSS: Statistical package for the social sciences. McGraw-Hill.
Ostle, B. (1979). Estadística aplicada (Vol. 3). Limusa.
PlanEstrategicoUEx.pdf. (2010). Retrieved February 8, 2017, from http://www.unex.es/organizacion/gobierno/vicerrectorados/vicecal/archivos/ficheros/gestion-calidad/PlanEstrategicoUEx.pdf
Ramsden, P. (1991). A performance indicator of teaching quality in higher education: The Course Experience Questionnaire. Studies in Higher Education, 16(2), 129–150.
SFPIE UV. (n.d.). T de Student: Muestras Independientes.
Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics Bulletin, 1(6), 80–83.
Wilson, K. L., Lizzio, A., & Ramsden, P. (1997). The development, validation and application of the Course Experience Questionnaire. Studies in Higher Education, 22(1), 33–53.