The Effects on the Academic Performance of Self- regulated Learning and Self- efficacy in English

1999 ◽  
Vol 2 (1) ◽  
pp. 169-184
Author(s):  
Jeong-Won LEE
Keyword(s):  
Academic Performance ◽  
Self Efficacy ◽  
Self Regulated Learning ◽  
Regulated Learning

Impact of self-regulated learning on academic performance and satisfaction of students in the online environment

2019 ◽  
pp. 345-363 ◽  
Keyword(s):  
Academic Performance ◽  
Goal Setting ◽  
Positive Impact ◽  
Social Dimension ◽  
Online Environment ◽  
Self Regulated Learning ◽  
Five Factors ◽  
Regulated Learning ◽  
Students Satisfaction ◽  
Important Milestone

The concept of self-regulated learning (SRL) hasn’t been researched enough in Bosnia and Herzegovina (B&H) and hence this study represents an important milestone in understanding this concept in this context. The conducted research was initiated with the presupposition that SRL had a positive impact on satisfaction and academic performance of students. In order to prove the goals of the research, two main hypotheses were formulated. The results of the exploratory factor analysis (EFA) have shown that the statements within SRL are grouped into five factors: goal-setting, metacognition, environment structuring, computer self-efficacy and social dimension. Multiple regression analysis proved that 4 of 5 factors have a positive impact on satisfaction and academic performance of students. Only goal-setting yielded no significance on the two aforementioned variables, while remaining four factors showed a significant influence on students’ satisfaction and academic performance.

scholarly journals Structural Relationship among Mobile Phone Dependence, Self-Efficacy, Time Management Disposition, and Academic Procras-tination in College Students

2021 ◽  
Author(s):  
Peng Sheng Chen ◽  
Jing Li ◽  
Seung-Yong Kim
Keyword(s):  
Factor Analysis ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Time Management ◽  
Self Efficacy ◽  
Academic Procrastination ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Negative Effect ◽  
The Relationship

Background: We aimed to investigate the relationship among mobile phone dependence, self-efficacy for self-regulated learning, time management disposition, and academic procrastination in Chinese students majoring in physical education. In addition, we explored the mediating roles of self-efficacy for self-regulated learning and time management disposition in the relationship between mobile phone dependence and academic procrastination. Methods: We adopted a random sampling method to identify 324 physical education majors at five universities in Shaanxi Province, China in 2020. Data were analyzed via exploratory factor analysis, confirmatory factor analysis, correlation analysis, structural equation model analysis, and path analysis. Results: Mobile phone dependence had significant positive effects on academic procrastination (P<0.001) and self-efficacy for self-regulated learning (P<0.05) but a significant negative effect on time management disposition (P<0.001). Self-efficacy for self-regulated learning had a significant positive effect on academic procrastination (P<0.001), while time management disposition had a significant negative effect on academic procrastination (P<0.01). Notably, self-efficacy for self-regulated learning and time management disposition mediated the relationship between mobile phone dependence and academic procrastination (P<0.05). Conclusion: In addition to its direct effect on academic procrastination, mobile phone dependence exerts an indirect effect via time management disposition and self-regulated learning efficacy. Reducing students’ dependence on mobile phones is necessary for attenuating academic procrastination on university campuses. Thus, universities should aim to restrict the use of mobile phones in the classroom, actively cultivate students’ confidence in their self-regulated learning ability, and educate them regarding appropriate time values.

scholarly journals The role of self-control, self-efficacy, metacognition, and motivation in predicting school achievement

Psihologija ◽  
2019 ◽  
Vol 52 (1) ◽  
pp. 35-52
Author(s):  
Vladimir Dzinovic ◽  
Rajka Djevic ◽  
Ivana Djeric
Keyword(s):  
Self Efficacy ◽  
Structural Model ◽  
School Achievement ◽  
Self Regulation ◽  
Self Control ◽  
Future Research ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Eighth Grade Students

Self-control and self-regulated learning refer to those processes and strategies whereby individuals exert agency in facing educational demands. This study tested a structural model which predicts that self-control has direct effect on school achievement, as well as mediated by metacognitive self-regulation, academic self-efficacy, and regulatory motivational styles as the variables related to self-regulated learning. The research was carried out on a stratified random sample of 575 eighth grade students. It was shown that the effect of self-control on achievement is mediated by self-efficacy. In other words, students who have heightened selfcontrol and believe in their own ability to meet school demands will be successful in school regardless of the complexity of their learning or whether they are autonomously motivated. The implications of such a finding were considered, as well as the limitations of the research and the indications for future research.

scholarly journals The relationship between self-regulated learning strategies and students' academic performance in English course

2021 ◽  
Vol 15 (7) ◽  
pp. 2261-2263
Author(s):  
Helia Nodeh
Keyword(s):  
Academic Performance ◽  
Learning Strategies ◽  
Learning Strategy ◽  
Pearson Correlation ◽  
Statistical Population ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Education Academic ◽  
Keywords Education ◽  
The Relationship

This study examines the relationship between self-regulated learning strategies and students' academic performance in English courses. The research method is descriptive-correlational. The statistical population includes all students of Azad University, Gorgan branch in the period 2020-2021. convenience sampling based on the Morgan table is used to select 384 people. The data collection tool is Zimmerman and Martinez-Pons Self-Regulated Learning Interview Schedule (1998), and for academic performance, the average grade in English course in two semesters was taken into account. Pearson correlation analyzes the data. The results show a significant relationship between self-regulated learning strategies and the academic performance of English course students. Keywords: education, academic performance, learning strategy

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