scholarly journals The Influence of Successful MOOC Learners’ Self-Regulated Learning Strategies, Self-Efficacy, and Task Value on Their Perceived Effectiveness of a Massive Open Online Course

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Daeyeoul Lee ◽  
Sunnie Lee Watson ◽  
William R. Watson
Keyword(s):  
Learning Strategies ◽  
Self Efficacy ◽  
Task Value ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Perceived Effectiveness ◽  
Massive Open Online ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Task

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.

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

2020 ◽  
Vol 21 (1) ◽  
pp. 23-39 ◽  
Author(s):  
Daeyeoul Lee ◽  
Sunnie Lee Watson ◽  
William R Watson
Keyword(s):  
Learning Strategies ◽  
Self Efficacy ◽  
Task Value ◽  
Future Research ◽  
Use Of Self ◽  
Massive Open Online ◽  
Positive Correlation ◽  
Self Regulated Learning ◽  
Significant Difference ◽  
Regulated Learning

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.

Motivated Strategies for Learning Questionnaire (MSLQ) : An Empirical Analysis of the Value and Expectancy Theory

2006 ◽  
Vol 3 (1) ◽  
pp. 47
Author(s):  
Shu Hui Wee ◽  
Maz Ainy Abdul Azis ◽  
Zarinah Abdul Rasit
Keyword(s):  
Empirical Analysis ◽  
Self Efficacy ◽  
Expectancy Theory ◽  
Task Value ◽  
Accounting Students ◽  
Self Regulated Learning ◽  
Component Task ◽  
Regulated Learning ◽  
The Will ◽  
And Task

One of the purposes of this study is to find the motivated behaviour of Accounting students towards their studies. This study was conducted on UiTM students studying accounting either as a course or as part of another course in Shah Alam. Self-efficacy, the expectancy component of motivation, refers to the confidence of the students 'own capabilities in performing a task. In contrast, the value component, task value relates to the reasons for doing the task. The results indicate that self- regulated learning is inspired by selfefficacy and task value. Students need the skill and knowledge and the will to use them to become self-regulated learners.

Beyond Grades in Online Learning: Adaptive Profiles of Academic Self-Regulation Among Naval Academy Undergraduates

2009 ◽  
Vol 20 (4) ◽  
pp. 568-601 ◽  
Author(s):  
Anthony R. Artino ◽  
Jason M. Stephens
Keyword(s):  
Academic Success ◽  
Self Efficacy ◽  
Self Regulation ◽  
Task Value ◽  
Naval Academy ◽  
Motivational Beliefs ◽  
Achievement Emotions ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Task

Educational psychologists have long known that students who are motivated to learn tend to experience greater academic success than their unmotivated counterparts. Using a social cognitive view of self-regulated learning as a theoretical framework, this study explored how motivational beliefs and negative achievement emotions are differentially configured among students in a self-paced online course. Additionally, this study examined how these different motivation-emotion configurations relate to various measures of academic success. Naval Academy undergraduates completed a survey that assessed their motivational beliefs (self-efficacy and task value); negative achievement emotions (boredom and frustration); and a collection of outcomes that included their use of self-regulated learning strategies (elaboration and metacognition), course satisfaction, continuing motivation, and final course grade. Students differed vastly in their configurations of course-related motivations and emotions. Moreover, students with more adaptive profiles (i.e., high motivational beliefs/low negative achievement emotions) exhibited higher mean scores on all five outcomes than their less-adaptive counterparts. Taken together, these findings suggest that online educators and instructional designers should take steps to account for motivational and emotional differences among students and attempt to create curricula and adopt instructional practices that promote self-efficacy and task value beliefs and mitigate feelings of boredom and frustration.

Exploring the Effectiveness of Self-Regulated Learning in Massive Open Online Courses on Non-Native English Speakers

2015 ◽  
Vol 13 (3) ◽  
pp. 61-73 ◽  
Author(s):  
Liang-Yi Chung
Keyword(s):  
Learning Strategies ◽  
English Learners ◽  
Self Efficacy ◽  
Online Courses ◽  
Native English Speakers ◽  
Massive Open Online Courses ◽  
English Speakers ◽  
Massive Open Online ◽  
Self Regulated Learning ◽  
Regulated Learning

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.

The Cyclical Nature of Self-Regulated Learning Phases: Stable Between Learning Tasks?

2015 ◽  
Vol 14 (2) ◽  
pp. 199-218 ◽  
Author(s):  
Daniel C. Moos ◽  
Amanda Miller
Keyword(s):  
Preservice Teachers ◽  
Learning Strategies ◽  
Self Efficacy ◽  
Task Value ◽  
Self Report ◽  
Control Beliefs ◽  
Think Aloud ◽  
Self Regulated Learning ◽  
Learning Tasks ◽  
Regulated Learning

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.

scholarly journals The role of self-regulated learning Strategies on learners’ Satisfaction in Massive Open Online Course (MOOC): Evidence from Malaysia MOOC

2019 ◽  
Vol 8 (10) ◽  
pp. 2286-2290
Keyword(s):  
Learning Strategies ◽  
Help Seeking ◽  
Partial Least Square ◽  
Least Square ◽  
Learning Context ◽  
Massive Open Online ◽  
Diverse Range ◽  
Self Regulated Learning ◽  
Regulated Learning

Learning in Massive Open Online Courses (MOOCs) necessitates learners to be capable of self-regulating their learning in order to oversee and adapt their behaviour and actions in certain learning settings. Studies have highlighted that learners who have good control of self-regulation in their learning, either formal or informal learning contexts, utilise more competent learning strategies in online learning context. Nevertheless, MOOCs attract a diverse range of learners, each with different experience and satisfaction. The aim of this study is to examine the role of self-regulated learning (SRL) and its components (time management, planning, self-evaluation, and help-seeking) on learners’ satisfaction in MOOC. Data were collected from 281 learners of a Malaysia MOOC namely Asas Keusahawanan (Introduction to Entrepreneurship), in the second semester of the Malaysian universities academic calendar. A cross-sectional web-based survey was applied and a Partial Least Square (PLS) approach was use for analysing data. Findings indicated that all of SRL components except help-seeking are important factors for explaining learners’ satisfaction in a MOOC. This study provides useful suggestions for the course designers of MOOCs platforms, and the facilitators in engaging learners with suitable SRL strategies and increase the level of course satisfaction.

scholarly journals Diferencias de sexo y edad en la motivación y autorregulación del aprendizaje

2018 ◽  
Vol 27 (2) ◽  
pp. 177-193
Author(s):  
Danijela Jandrić ◽  
Zvonimir Šimić
Keyword(s):  
Test Anxiety ◽  
Learning Strategies ◽  
Self Efficacy ◽  
Peer Learning ◽  
Seventh Grade ◽  
Older Students ◽  
Male And Female ◽  
Self Regulated Learning ◽  
Extrinsic Value ◽  
Regulated Learning

Self-regulated learning is an active participation in a learning process, which comprises cognitive, metacognitive and behavioural processes, and involves learning strategies and peer learning. In the basis of self-regulation is motivation, which in school settings can be specified as test anxiety, selfefficacy, and intrinsic and extrinsic value. The aim of this research was to verify the differences between male and female participants as well as between fifth- and seventh-grade students, regarding intrinsic and extrinsic value, self-efficacy, test anxiety, learning strategies and peer learning. Participants were fifth- and seventh-grade students (N = 172) from two elementary schools. No differences were found between male and female participants in intrinsic and extrinsic value, self-efficacy, learning strategies and peer learning. However, statistically significant differences in the all of the above-mentioned variables were found between younger and older students. Weaker motivation and self-regulated learning, found among older students, confirmed previous findings in this field. Results are discussed within the framework of personality development and selfdetermination theory which describe academic motivation and self-regulated learning.

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