The Relationship of Flow and Self-Regulated Learning to Active Procrastination

2013 ◽  
Vol 41 (7) ◽  
pp. 1099-1113 ◽  
Author(s):  
Eunkyung Kim ◽  
Eun Hee Seo

We examined the relationships between active procrastination, flow, self-regulated learning, and academic achievement in 278 Korean undergraduate students in order to extend the existing research on active procrastination. We used two hierarchical multiple regressions to identify significant predictors of active procrastination and academic achievement. The results showed that flow and self-regulated learning were significant factors in predicting active procrastination. The findings also indicated that although active procrastination had a significant effect on academic achievement, flow and self-regulated learning better explained academic achievement than did active procrastination. Our findings offered a more in depth understanding of active procrastination than has been achieved in previous research and explained why active procrastinators can obtain satisfactory results.

2018 ◽  
Vol 1 (4) ◽  
pp. 657 ◽  
Author(s):  
Hadin Hadin ◽  
Helmy Muhammad Pauji ◽  
Usman Aripin

This study aims to describe the extent to which the mathematical connection ability of students who viewed from Self Regulated Learning seen from students' mistakes in solving a problem of mathematical connection ability. The subject of this study students Classes VIIIA MTs AL-Hikmah Talegong Garut II as many as 20 students. The method used in this research is a descriptive method with quantitative approach. The research stage consisted of 4 stages, among others: self-regulated learning questionnaires, tests of mathematical connection ability, data analysis and draw conclusions. The results of the research were obtained that 1) Students who have high learning independence make mistakes on inter-topic relationships in mathematics and apply/use mathematics in other fields or in everyday life, 2) Students who have learning independence are making mistakes in understanding relationships between topics in mathematics as well as in identifying processes or procedures in carrying out basic concepts, 3) Students have low self-reliance to make mistakes in understanding the relationship of mathematics in other fields of science or in everyday life. Based on the results of the study can be concluded that the better the students' independence in learning then the smaller make a mistake in solve the problem of mathematical connection capabilities.


2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Sindhu P

The present generation faces more stress. The present study is aimed to find the relationship of Stress with Academic achievement among engineering students. The target population of the study comprised of students of few Engineering colleges under VTU (Visvesvaraya Technological University). For the study, a sample of 20 Undergraduate students of the Visvesvaraya Technological University (studying Engineering) was taken. The Cohen Perceived Stress Scale was used to measure the level stress among the students. The in-depth investigation of the findings obtained through this study reveals that the level of stress was found high for both Low and High scorers. The findings of the study will be useful in assisting Educators, Counselors, Psychologists, and Researchers to develop strategies to enhance students’ psychological well-being.


2018 ◽  
Vol 4 (2) ◽  
pp. 90
Author(s):  
Indah Sari Liza Lubis

This study aims to determine: (1) the relationship between self regulated learning and student academic procrastination; (2) the relationship of self efficacy with student academic procrastination; (3) the relationship between self regulated learning and self efficacy with student academic procrastination. The hypothesis proposed is a negative relationship between self regulated learning and self efficacy with student academic procrastination, assuming the higher self regulated learning and self efficacy, the lower the student academic procrastination. Conversely, the lower the self regulated learning and self efficacy, the higher the student's academic procrastination. The number of samples is 61 people. The sampling technique uses saturated sample techniques. The data collection techniq uses questionnaire. The research method used is quantitative methods. The results of the study conclude that: (1) there is a negative relationship between self regulated learning and student academic procrastination; (2) there is a negative relationship between self efficacy and student academic procrastination; (3) there is a negative relationship between self regulated learning and self efficacy with student academic procrastination.


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