Analysis and Incidents in the Professional Practices of IT University Students in the Context of the COVID-19 Pandemic

The objective of this research is to analyze the level of satisfaction and effectiveness of pre-professional practices in university students, before and during the pandemic. The analyzed data was collected through surveys applied to 67 students. The data was analyzed with a descriptive approach, using tables to summarize the results, while in the analysis of the difference in means in the effectiveness and satisfaction scales, the ANOVA method was used, obtaining a p- value= 0.1134, the same as indicated that there is no variation in the means of the scales. For the correlation analysis, the Pearson coefficient was calculated, whose value indicated a strong correlation between the satisfaction scale of the place where the practice was carried out and the level of satisfaction (0.637). Finally, a web page model is proposed that is capable of better guiding the choice of the place where the students will carry out the pre-professional practices. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Statistical Analysis of University Academic Performance in the Area of Exact Sciences, Before and During the Covid-19 Pandemic

The pandemic caused by Covid-19 at the end of 2019 affected the development of academic activities in educational institutions at all levels. This article focuses its interest on analyzing the academic performance, failure and dropout of the students of the Universidad de las Fuerzas Armadas ESPE, Santo Domingo, before and during the pandemic. The analyzed data was collected from the academic results matrices of the Departamento de Ciencias Exactas of the ordinary academic periods: 201950, 201951, 202050, 202051, 202150 and 202151. The information was analyzed with a descriptive approach, using bar charts, which indicate the evolution of the areas of knowledge in the indicated periods. For the variation of academic performance, the ANOVA method was used, obtaining a p − value = 0.126, which indicated that there is no significant variation between the means of the analyzed data. In addition, it was determined that between academic periods the assumptions of normality and homoscedasty with values p − value > 0.05 are met. In the linear correlation analysis, the Pearson coefficient was calculated, whose value indicated a strong negative correlation between the academic performance and the percentage of failure (values of 0.887, 0.796), while between the academic performance and the percentage of abandonment there was a moderate negative correlation (values of 0.428, 0.636). Finally, models based on linear regression are proposed in the areas of knowledge analyzed, to predict the academic performance of the new academic period 202250. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Inferential Statistical Analysis in E-Learning University Education in Latin America in Times of COVID-19

Since the appearance of COVID-19, the teaching-learning processes in higher education have changed. This article shows a focus on university education and e-learning, performing a statistical analysis on university students in Ecuador, obtaining significant evidence that the use of ICTs improves academic performance in the subject of statistics. In the first case, two third semester courses are taken, the experimental group is made up of 23 students, to which e-learning is applied and an application developed in Scilab that shows the resolution process for descriptive and inferential statistics;while the control group is made up of 14 students, in which only e-learning and traditional teaching are used. In the second case, 2 courses are taken, the first is formed by 14 students and the second by 22 students, using e-learning and traditional teaching. First, the Shapiro Test is used to determine if the population has a normal distribution, then the Student’s T test is applied in the hypothesis test of difference of means to determine if academic performance is improved with the use of ICTs. Finally, for α= 0.05, it is verified that the developed application improves academic performance. Another important finding is that only using traditional teaching with e-learning does not significantly change academic performance. © 2022, Springer Nature Switzerland AG.