Validation of post-COVID-19 pandemic teaching in higher education through the SEEQ questionnaire (Atena Editora)

Abstract

The COVID-19 pandemic has changed the teaching-learning process at all educational levels, just as it has changed the lives of people around the world. Introduction: This research has been carried out with the students of the Information Security subject that is taught in two University Degrees of the University of Extremadura, analyzing the data collected from the 2012-13 academic year to the current 2021-22 academic year. Objectives: To analyze if there has been a significant change in the teaching-learning process from the COVID-19 pandemic in higher education in the field of computer and telematics engineering using the validated SEEQ questionnaire. Methods: The statistical analysis has been carried out with the SPSS program of the results of the application of the SEEQ questionnaire. To do this, all the data has been divided into two large groups, one called pre-pandemic and the other post-pandemic, which correspond to the 2019-20 academic year as the last year of the pre-pandemic group and the two subsequent ones as the post-pandemic group. pandemic. Results: the statistical analysis of the data leads us to have to use non-parametric tests since the normality requirements of the Kolmogorov-Smirnov and Shapiro-Wilks tests are not met. Consequently, we have applied the Mann-Whitney U, where in all cases the result is to preserve the null hypothesis, which indicates that the changes are not significant. Conclusions: The general conclusion of this study determines that although the mean of all the categories of the SEEEQ questionnaire continues to increase, this change is not statistically significant. Likewise, it is very important to highlight that the average of all the categories is above half on the Likert scale, moreover, the vast majority is around 4 out of 5 points, a result that is very positive.