Abstract: This research work analyzes the relationship be-tween stress and academic performance of engineering students at the University of Sciences and Humanities, in Peru, in the context of the pandemic. During this period, classes at the university were held virtually; and the difficulties that students present to carry out their classes were identified, such as lack of connectivity, family and financial problems and anxiety. The objective of the research is to analyze the relationship between stress and academic performance of engineering students. The work is part of a mixed approach, and data collection was carried out through interviews and surveys of engineering students based on the two variables identified: stress and academic performance. It began with a descriptive analysis, then moving on to inferential analysis to perform the hypothesis test. The SPSS was used for the reliability analysis using Cronbach’s alpha with 0.84 as a result and validation by expert judgment with 84.5% acceptance. It was obtained as a result that between the Stress variable based on its three dimensions and academic performance there is not relationship since it was obtained that its P-value is greater than 0,05; it is concluded that stress is not only academic but also should consider others as labor, social. In addition, the positive stress that drives academic performance emerged. The beneficiaries with the research are students, and the university. It is concluded that there is no relationship between stress and academic performance.

Janet Corzo Zavaleta, Roberto Yon Alva, Samuel Vargas Vargas, Eleazar Flores Medina, Yrma Principe Somoza and Laberiano Andrade-Arenas, “Relationship between Stress and Academic Performance: An Analysis in Virtual Mode” International Journal of Advanced Computer Science and Applications(IJACSA), 12(12), 2021. http://dx.doi.org/10.14569/IJACSA.2021.01212100

@article{Zavaleta2021,
title = {Relationship between Stress and Academic Performance: An Analysis in Virtual Mode},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.01212100},
url = {http://dx.doi.org/10.14569/IJACSA.2021.01212100},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {12},
author = {Janet Corzo Zavaleta and Roberto Yon Alva and Samuel Vargas Vargas and Eleazar Flores Medina and Yrma Principe Somoza and Laberiano Andrade-Arenas}
}