scholarly journals The Relationships Between Self-Efficacy, Task Value, and Self-Regulated Learning Strategies in Massive Open Online Courses

Author(s):  
Daeyeoul Lee ◽  
Sunnie Lee Watson ◽  
William R Watson

This study examines the relationships between self-efficacy, task value, and the use of self-regulated learning strategies by massive open online course (MOOC) learners from a social cognitive perspective. A total of 184 participants who enrolled in two MOOCs completed surveys. The results of Pearson’s correlation analysis show a positive correlation between self-efficacy and the use of self-regulated learning strategies, as well as a positive correlation between task value and the use of self-regulated learning strategies. The results of hierarchical multiple regression analysis show that self-efficacy and task value are significant predictors of the use of self-regulated learning strategies. There was a statistically significant difference in the use of self-regulated learning strategies between learners who possessed high self-efficacy and those who possessed low self-efficacy. In addition, learners who had high task value showed statistically significant higher average self-regulated learning scores than those who had low task value. Implications and future research directions are discussed based on the findings.

Author(s):  
Daeyeoul Lee ◽  
Sunnie Lee Watson ◽  
William R. Watson

High dropout rates have been an unsolved issue in massive open online courses (MOOCs). As perceived effectiveness predicts learner retention in MOOCs, instructional design factors that affect it have been increasingly examined. However, self-regulated learning, self-efficacy, and task value have been underestimated from the perspective of instructors even though they are important instructional design considerations for MOOCs. This study investigated the influence of self-regulated learning strategies, self-efficacy, and task value on perceived effectiveness of successful MOOC learners. Three hundred fifty-three learners who successfully completed the Mountain 101 MOOC participated in this study by completing a survey through e-mail. The results of stepwise multiple regression analysis showed that perceived effectiveness was significantly predicted by both self-regulated learning strategies and task value. In addition, the results of another stepwise multiple regression analysis showed that meta-cognitive activities after learning, environmental structuring, and time management significantly predicted perceived effectiveness.


2020 ◽  
Vol 11 (3) ◽  
Author(s):  
Daeyeoul Lee ◽  
Matthew Allen ◽  
Lixia Cheng ◽  
Sunnie Watson ◽  
William Watson

This study investigated the relationships between self-efficacy and self-regulated learning strategies of English Language Learners (ELL) in a college setting from a social cognitive perspective. Participants in this study were one hundred seventeen ELL college students who enrolled in an English language course at a Midwestern university. The results of simple linear regression analysis showed that ELL college students’ self-efficacy significantly predicted their use of self-regulated learning strategies. In addition, the results of a one-way ANOVA indicated a statistically significant difference in the use of self-regulated learning strategies between ELL college students who had high self-efficacy and those who had low self-efficacy. Based on study results, implications and future research directions are discussed.


2021 ◽  
Vol 19 (54) ◽  
pp. 369-392
Author(s):  
Ying Hong Jiang ◽  
Jia Wang ◽  
Patricia Bonner ◽  
Jenny Yau

Introduction.  Prior research consistently provides evidence supporting potential relationships between epistemological beliefs and learning. The current study examines the relationship between epistemological beliefs, academic motivation, and self-regulated learning strategies among different ethnic groups of American adolescents. Method.  This quantitative study utilized a correlational design to examine the relationship between epistemological beliefs and self-regulated learning strategies in adolescents attending middle school. A total of 364 middle school students (6th to 8th grade) from Southern California public middle schools participated in the study. A multiple group path model was employed to analyze the student data. Results.  We found that certain knowledge, omniscient authority, and innate ability beliefs about the nature of knowledge predict positive relationships with self-efficacy and intrinsic value components of motivation. Quick learning and simple knowledge beliefs predict negative relationships with self-efficacy and intrinsic-value but positive relationship with test-anxiety. Similarly, in the aspect of self-regulatory learning strategies, those who believe in the absolute nature of knowledge and the authorities tend to use cognitive and self-regulatory learning strategies more often, while those who believe in the speed of knowledge acquisition tend to employ those strategies less. Discussion and Conclusion. Findings from this study inform educators of the need to advance adolescents’ epistemological beliefs for each subject (e.g., science, language arts) as a method to facilitate their motivation and self-regulated learning. We recommend that future research should include assessments of the participants’ cultural orientations or the domain specificity of the epistemological beliefs, which may vary the associations of the beliefs with self-regulated learning. Additionally, future research can further investigate other potential mediators of the relationship between epistemological beliefs and self-regulatory learning.


2015 ◽  
Vol 13 (3) ◽  
pp. 61-73 ◽  
Author(s):  
Liang-Yi Chung

Massive Open Online Courses (MOOCs) are expanding the scope of online distance learning in the creation of a cross-country global learning environment. For learners worldwide, MOOCs offer a wealth of online learning resources. However, such a diversified environment makes the learning process complicated and challenging. To achieve their objectives, learners need to adapt regulation strategies based on different situations in the process, which is called self-regulated learning. Previous research findings emphasize that self-efficacy is one of the key factors that influences self-regulated learning. Currently MOOCs are primarily offered in English, but many students are non-native English speakers. For these learners, English serves as a cross-language and cross-cultural communication medium, and English self-efficacy is a defining element affecting this language application. To further examine the impact of English self-efficacy on self-regulated learning, this study uses non-native English learners in MOOCs as test subjects. It is evident that there is a positive and significant correlation between non-English learners' self-efficacy and self-regulated learning in MOOCs; the higher the English self-efficacy, the better use of self-regulated learning strategies. This study aims to offer some insight into self-regulated learning strategies of non-native English speakers taking MOOCs, so relevant instructors can subsequently provide more suitable and effective learning methods.


2019 ◽  
Vol 6 ◽  
pp. 83-97
Author(s):  
Anoush Margaryan

This paper compares the strategies used by crowdworkers and conventional knowledge workers to self-regulate their learning in the workplace. Crowdworkers are a self-employed, radically distributed workforce operating outside conventional organisational settings; they have no access to the sorts of training, professional development and incidental learning opportunities that workers in conventional workplaces typically do. The paper explores what differences there are between crowdworkers and conventional knowledge workers in terms of self-regulated learning strategies they undertake. Data were drawn from four datasets using the same survey instrument. Respondents included crowdworkers from CrowdFlower and Upwork platforms and conventional knowledge workers in the finance, education and healthcare sectors. The results show that the majority of crowdworkers and conventional knowledge workers used a wide range of SRL strategies. Among 20 strategies explored, a statistically significant difference was uncovered in the use of only one strategy. Specifically, crowdworkers were significantly less likely than the conventional workers to articulate plans of how to achieve their learning goals. The results suggest that, despite working outside organisational structures, crowdworkers are similar to conventional workers in terms of how they self-regulate their workplace learning. The paper concludes by discussing the implications of these findings and proposing directions for future research. 


2015 ◽  
Vol 14 (2) ◽  
pp. 199-218 ◽  
Author(s):  
Daniel C. Moos ◽  
Amanda Miller

Think-aloud and self-report data from 37 preservice teachers were used to examine the stability of self-regulated learning (SRL). Participants, all of whom were preservice teachers, learned about 2 topics (Circulatory System and Constructivism) with hypermedia. Think-aloud data were collected to determine the extent to which participants self-regulated their learning in each task. In addition, participants completed a self-report questionnaire, which measured various motivation constructs. Results indicated that the level of extrinsic motivation and control beliefs was similar between tasks, whereas the level of task value and self-efficacy was higher when participants learned about Constructivism. In addition, participants’ use of some SRL processes (planning and monitoring) was stable between the learning tasks, despite the higher level of task value and self-efficacy. Use of learning strategies significantly increased when they learned about Constructivism, however. These results offer theoretical implications and insights into the interaction between SRL phases during hypermedia learning.


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