Mental health among students is one of the major concerns amidst the pandemic. Employing a correlational design, this study investigates the relationship between emotional intelligence and mental health among 152 senior high school students. Based on the statistical analysis, the r coefficient of 0.82 indicates a high positive correlation between the variables. The p-value of 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between emotional intelligence and mental health (...) among senior high school. Implications were discussed in the study. (shrink)

This study investigates the significant relationship between procrastination and academic burnout among first-year college students. Employing correlational design and standardized tests, the statistical analysis reveals that the r coefficient of 0.33 indicates a low positive correlation between the variables. The p-value of 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between procrastination and academic burnout among college students.

Because of the COVID-19 pandemic, procrastination has become commonplace due to changes in teaching and learning, which trigger students' academic burnout. As a result, it has increased the intensity of procrastination among students who are enrolled in online learning programs. As a result, students have difficulty as a result of the rapid change from in-person learning to online learning. The study investigates the relationship between academic burnout and procrastination among 150 grade 12 senior high school students. Hence, this study employed (...) a correlational design. Based on the inferential analysis, the r coefficient of 0.71 indicates a high positive correlation between the variables. The p-value of 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between academic burnout and academic procrastination among grade 12 senior high school students. (shrink)

The abrupt shift in learning mode demands students to adjust from the comfort of their homes, as well as the challenges of face-to-face learning. As a result, as the pandemic fades, institutions in the Philippines have begun to reopen their doors to students. Hence, this study employed a correlational design to investigate the relationship between procrastination and academic burnout among 150 first-year college students in a state university. Based on the statistical analysis, the r coefficient of 0.67 indicates a moderate (...) positive correlation between the variables. The p-value of 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between procrastination and academic burnout among first-year college students. Implications and recommendations were discussed in the study. (shrink)

This study evaluates the relationship between mental health and academic motivation among third-year college TES grantees. Thus, correlational design was employed to determine if there is a significant relationship between mental health and academic motivation among 150 third-year TES grantees. Statistical findings reveal that the r coefficient of 0.52 indicates a moderate positive correlation between the variables. The p-value of 0.00, which is less than 0.05, leads to rejecting the null hypothesis. Hence, a significant relationship exists between mental health and (...) academic motivation of third-year college TES grantees. Implications were discussed in the study. (shrink)

The learning process of both students and teachers can be predicted based on the learning mode. Therefore, because of the COVID-19 pandemic, schools must start using online learning and abandon more traditional teaching techniques. Thus, this study investigates the relationship between self-efficacy and academic resilience among 150 senior high school students. Thus, the researchers employed General Self-Efficacy and Resilience Scale. Finally, the statistical analysis reveals that the r coefficient of 0.78 indicates a high positive correlation between the variables. The p-value (...) of 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between self-efficacy and resilience among senior high school students. (shrink)

This study investigates the significant relationship between mental health and academic motivation among graduating students. Thus, the study employed a correlational design to determine if there is a significant relationship between mental health and academic motivation among 150 graduating college students. Hence, the Mental Health Inventory 38 (MHI-38) and Academic Motivation Scale (AMS-C28) were employed to measure the study variables. Moreover, statistical analysis reveals that the r coefficient of 0.35 indicates a low positive correlation between the variables. The p-value of (...) 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. (shrink)