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)

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)

Online education has become an essential component of education. Thus, several factors, such as the student’s learning strategy and motivation, generally contribute to their academic success. This study investigates the relationship between learning strategies, motivation, and online learning environment among 150 first-year college students. Employing correlational design, the statistical findings of the study reveal that the r coefficient of 0.59 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 learning strategies, motivation, and the online learning environment. (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)

The COVID-19 outbreak had a profound impact on many facets of society, particularly on the educational system. Therefore, all educational content must be delivered to students online, and it is the student’s responsibility to adjust to this new norm. Hence, this study sought to investigate if there is a significant relationship between self-efficacy and resilience among senior high school students. This study utilized correlational research, with the 150 grade 12 senior high school students enrolled in 2022-2023 as respondents. Thus, the (...) researchers employed General Self-Efficacy and Resilience Scale. Finally, the statistical analysis reveals that the r coefficient of 0.53 indicates a moderate positive correlation between the variables. The p-value of 0.00, less than 0.05, leads to rejecting the null hypothesis. Hence, a significant relationship exists between self-efficacy and resilience among senior high school students. (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 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)

At the height of the COVID-19 pandemic, stringent lockdowns and sudden adjustments were enacted, both of which had a devastating effect on the economy of the Philippines and the method of education that was in place at the time. This resulted in shifts and serious challenges for everyone, particularly pupils from marginalized homes. Hence, this study employed a correlational design to determine if there is a significant relationship between academic burnout and academic procrastination among 150 grade 12 senior high school (...) students. The researchers used two instruments: Academic Procrastination Scale (APS) and Maslach Burnout Inventory (MBI) to measure the variables. Moreover, the statistical analysis reveals that the r coefficient of 0.80 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 procrastination and academic burnout among grade 12 senior high school students. (shrink)

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)

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.