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Introduction: The objective of the present study was to determine if emotional intelligence and family stress are predictors of satisfaction with studies in university students. Method: Cross-sectional predictive study with a quantitative approach. The population was made up of 414 university students of both sexes who applied the TMMS-24 Emotional Intelligence Scale by Salovey and Mayer Family Stress Scale, the original version of Olson, and the Brief Satisfaction with Studies EBSE scale. Results: When performing statistical processing, it was evident that family stress has a standardized beta coefficient [beta] = -0.116; p < 0.05 indicates a low, statistically significant, indirect prediction. In other words, the greater the family stress, the lower the satisfaction with studies. In the same way, the standardized beta coefficient that represents the prediction of emotional intelligence on satisfaction with studies, which was [beta] = 0.470; p < 0.05, showed a direct, moderate, and statistically significant predictive value. Discussion and Conclusions: The results establish that emotional intelligence and family stress predict satisfaction with studies. The areas that are part of emotional intelligence, such as perception, understanding, and regulation, are related to family stress levels, and these influence the degree of satisfaction with studies. The greater the emotional intelligence, the greater the satisfaction with studies and different life stages.

Introduction: COVID-19 changed the traditional way of educating, confining students to their homes and favoring the excessive use of technology and entertainment such as video games. Precisely, the excessive consumption of the latter altered the behavior of adolescents and increased their levels of aggressiveness. The present study analyzed dependence on video games as a predictor of aggression in adolescents from Eastern Lima during confinement by COVID-19. Method: The study was non-experimental, with a predictive scope, quantitative approach, and cross-section. The sample consisted of 430 high school students from 11 to 17 years old who belonged to educational institutions in Eastern Lima, to whom the Test of Dependence of Videogames (TDV) and the Aggression Questionnaire were applied. Results: The results showed a significant correlation between the variables (r= 0.360**; p= 0.000), which showed that addiction to video games predicts aggressiveness by up to 13 % (R= 0.360; R[superscript 2] = 0.130). Discussion or Conclusion: There is a highly positive potentiation between the variables; therefore, the greater the dependence on video games, the greater the aggressiveness in adolescents. This is due to the high levels of violence in the most popular video games that trigger impulse control, especially in men, who have higher levels of dependence on video games than women.