Análisis sobre la presencia de depresión, estrés o ansiedad y su relación con el desempeño académico en estudiantes de licenciatura

Abstract

To implement corrective and supportive measures, this educational research is carried out to identify the presence of risky levels of depression, anxiety and / or stress and to evaluate its possible influence on the high rates of failure and drop out of the students of Systems Engineering Computational and Biochemical Engineering. One of the objectives of National Technological Institute of Mexico (TecNM) is to apply teaching strategies that allow a high degree of learning, less dropout and a higher degree of graduation from competent professionals. Applying a systematic stratified random sampling, 262 students were chosen who participated by answering previously assessed surveys (Cronbach's alpha between 0.78 and 0.914). Both programs usually show high rates of failure and low terminal efficiency. Preliminary results show high stress rates and average anxiety in the first grades, this is previously unknown for most of the students; Anxiety and depression presented slight differences between freshman students and the ones of last semesters, without considering that these factors could be determining in their academic performance, the students agree that these problems affect their academic performance, in terms of failure and turn out to be a factor to cause dropout. Objective: to correlate the results obtained in the applied surveys referred to know the degree of depression, anxiety and / or stress among the students of 2 different degrees with their level of academic performance. Methodology.- A stratified random sampling was applied to students of Biochemical Engineering and Computer Systems Engineering. 4 surveys were applied to determine anxiety, stress, depression and influence on their academic performance, the data were analyzed using predetermined scales and the Chi square test to find out the correlation between the mentioned variables. Contribution.- Levels of anxiety, stress and depression were detected in Engineering students and their correlation regarding the affectation in their academic performance, factors to be taken into consideration to avoid failure and desertion.