scholarly journals Goal Setting and MOOC Completion

2019 ◽  
Vol 20 (3) ◽  
Author(s):  
Erwin Handoko ◽  
Susie L. Gronseth ◽  
Sara G. McNeil ◽  
Curtis J. Bonk ◽  
Bernard R. Robin
Keyword(s):  
Goal Orientation ◽  
Student Performance ◽  
Goal Setting ◽  
Time Management ◽  
Causal Attribution ◽  
Course Completion ◽  
Learning Context ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Performance

Despite providing advanced coursework online to learners around the world, massive open online courses (MOOCs) have had notoriously low completion rates. Self-regulated learning (SRL) frames strategies that students can use to enhance motivation and promote their engagement, persistence, and performance self-monitoring. Understanding which SRL subprocesses are most relevant to the MOOC learning context can guide course designers and instructors on how to incorporate key SRL aspects into the design and delivery of MOOCs. Through surveying 643 MOOC students using the Online Self-Regulated Learning Questionnaire (OSLQ), the present study sought to understand the differences in the use of SRL between those who completed their course and those who did not. MOOC completers were found to have significantly higher applications of one SRL specific subprocess, namely goal setting. Additional SRL subprocesses of task interest/values, causal attribution, time management, self-efficacy, and goal-orientation also emerged from an analysis of open-ended responses as key contributors to course completion. The findings from this study provide further support regarding the role of SRL in MOOC student performance and offer insight into learners’ perceptions on the importance of SRL subprocesses in reaching course completion.

scholarly journals ONLINE SELF-REGULATED LEARNING STRATEGIES AMID A GLOBAL PANDEMIC: INSIGHTS FROM INDONESIAN UNIVERSITY STUDENTS

2021 ◽  
Vol 18 (No.2) ◽  
pp. 45-68
Author(s):  
Yogi Saputra Mahmud ◽  
Emilius German
Keyword(s):  
Online Learning ◽  
University Students ◽  
Academic Writing ◽  
Time Management ◽  
Educational Institutions ◽  
Data Sets ◽  
Learning Context ◽  
Learning Skills ◽  
Self Regulated Learning ◽  
Regulated Learning

Purpose – At the beginning of 2020, the COVID-19 pandemic affected many aspects of life, including education. In response, the Indonesian government mandated all educational institutions, including universities, to implement online learning. Through online learning, many university students experienced considerable changes in the way they regulated their knowledge-seeking process. This research examined the level of EFL university students' self-regulated learning during their online learning activities for an English academic writing course, as well as the difficulties encountered and strategies developed in the online learning context. Methodology – This research employed a convergent mixed-method research design by adapting the Online Self-Regulated Learning Questionnaire (Barnard et al., 2009) and an open-ended questionnaire to discover the students' difficulties and strategies during online learning. The study involved 307 students of the English 3 (Academic Writing) course at President University, Indonesia. Descriptive statistics were employed to analyse the quantitative data sets, while the qualitative data sets were systematically coded and thematically analysed. Findings – The statistical analysis indicated that the students had a medium level of self-regulated learning skills. The qualitative analysis revealed that in the context of online self-regulated learning, the issues they faced included technical, material, time management, study space, and motivation issues. At the same time, the students attempted to alleviate these issues by improving collaboration and time management, and adopting technical, academic, and affective strategies. Significance – By exploring the level of students' self-regulated learning skills, this study provides insights for universities and lecturers into students’ ability to regulate their learning in an online learning context. Additionally, this study has identified the difficulties students face in the online learning process and their strategies to overcome these issues, which can practically inform educational institutions about the necessary support that should be provided to facilitate students' self-regulated learning skills in the online learning context.

The Relationship between Self-Regulated Learning and PLE Management

2016 ◽  
pp. 253-280
Author(s):  
Cherng-Jyh Yen ◽  
Chih-Hsiung Tu ◽  
Laura E. Sujo-Montes ◽  
Shadow W. J. Armfield ◽  
Junn-Yih Chan
Keyword(s):  
Goal Setting ◽  
Time Management ◽  
Setting Time ◽  
Self Regulation ◽  
Sense Of Control ◽  
Personal Learning ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Task Strategies ◽  
And Task

Is Personal Learning Environment (PLE) a new concept for effective teaching and learning? Shouldn't learning always be personalized and individualized? How may digital technology enhance PLE? Web 2.0 technology integration requires a higher level of self-regulated learning skills to create a PLE. This study examined each of the four aspects of learner self-regulation in online learning (i.e., environment structuring, goal setting, time management, & task strategies) as the predictor for level of initiative and sense of control with regard to PLE widgets management in PLE. This study has concluded that goal setting, time management, and task strategies in self-regulated learning can predict level of initiative in organizing PLE. Furthermore, goal setting and task strategies can predict sense of control in PLE management. Based on the study results, PLE Guidelines are suggested to support educators and learners to build and to manage their PLE.

scholarly journals Self-Regulated Learning in the University of Tabuk: Gender Differences in Strategy and Outcomes

2021 ◽  
Vol 4 (1) ◽  
pp. 151-165
Author(s):  
Fakhralddin Abbas Mohammed Elfakki ◽  
Marai Mohammed Alamri ◽  
Islam Ashraful ◽  
Mustafa Elnimeiri ◽  
Ehab Frah
Keyword(s):  
Medical Students ◽  
Time Management ◽  
Help Seeking ◽  
Setting Time ◽  
Self Regulation ◽  
Learning Context ◽  
Self Regulated Learning ◽  
Self Evaluation ◽  
Regulated Learning ◽  
The University

Background Self-Regulated Learning (SRL) is defined as the adjustment of the individual's affective, meta-cognitive, and behavioral operations during learning to attain the desired level of academic achievement. It is an important skill for undergraduate students and its ignorance cause anxious behavior, a sense of potential failure, and avoidance of learning situations. Objective The objective of the study was to explore the pattern of SRL among medical students from a student perspective aiming to recognize the learning context and to provide recommendations for future support strategies. Methods This is a cross-sectional study that targeted a total coverage of medical students at the University of Tabuk, Saudi Arabia using a Self-Regulated Learning Questionnaire which composed of six constructs, namely: environment structuring, goal setting, time management, help-seeking, task strategies, and self-evaluation. An independent-samples test, ANOVA, and post-hoc analysis were conducted.   Results Females agreed on regular practice of the four domains namely: "environmental structuring, time management, help-seeking, and self-evaluation", mean scores: 3.7(SD=1.023), 3.42(SD=1.035), 3.68(SD=0.99), 3.54(SD=0.94) respectively. Conclusion This study identified a remarkable difference in SRL among undergraduate medical students. Females outperformed males in self-regulation; however, both genders in the second year have shown a low level in self-regulation in comparison to fifth year medical students. Rwanda J Med Health Sci 2021;4(1):151-165

scholarly journals Goal Orientations among Yarmouk University Students and their Relationship with Self- Regulated Learning

2014 ◽  
Vol 8 (3) ◽  
pp. 528
Author(s):  
Ahmad Y. Banimufarrej ◽  
Shafiq F. Alawneh
Keyword(s):  
University Students ◽  
Goal Orientation ◽  
Goal Orientations ◽  
Self Regulated Learning ◽  
Significant Difference ◽  
Regulated Learning ◽  
Yarmouk University ◽  
And Performance ◽  
And Gender ◽  
Approach Goals

This study aimed at exploring the relationship of goal orientations with self-regulated learning among Yarmouk University students in light of faculty and gender. The sample of the study consisted of 684 students. Two scales were used: a goal orientations scale, and aself-regulated learning scale. The results showed statisticallysignificant differences in the means of participants' scores on the goal orientation scales due to the student gender in mastery goals, and performance-avoidance goals; females scored higher on these subscales than males. No significant gender difference was found in performance-approach goals. The results also showed significant differences in the means scores on the self-regulated learning scale due to gender; females once again scored higher than males on all skills, except for the planning and goal specification skill. No significant difference, however, was found in self-regulated learning due tostudent faculty or the interaction between faculty and gender. 

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 Self-regulated learning as a predictor of mathematics and reading performance: A picture of students in Grades 5 to 8

2019 ◽  
Vol 63 (1) ◽  
pp. 74-97 ◽  
Author(s):  
Susan-Marie Harding ◽  
Narelle English ◽  
Nives Nibali ◽  
Patrick Griffin ◽  
Lorraine Graham ◽  
...  
Keyword(s):  
Reading Comprehension ◽  
Reading Performance ◽  
Learning Skills ◽  
Self Regulated Learning ◽  
Performance Differences ◽  
Age Related ◽  
Regulated Learning ◽  
And Performance ◽  
The Impact ◽  
Learning And Performance

Students who can regulate their own learning are proposed to gain the most out of education, yet research into the impact of self-regulated learning skills on performance shows mixed results. This study supports the link between self-regulated learning and performance, while providing evidence of grade- or age-related differences. Australian students from Grades 5 to 8 completed mathematics or reading comprehension assessments and self-regulated learning questionnaires, with each response ranked on a hierarchy of quality. All assessments were psychometrically analysed and validated. In each cohort and overall, higher performing students reported higher levels of self-regulated learning. Still, age-related differences outweighed performance differences, resulting in significantly lower reported usage of self-regulated learning skills in Grade 7 students compared to those in Grades 5, 6 and 8. These findings suggest that either age or school organisational differences mediate students’ self-regulated learning, counteracting ability-related associations.

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.

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