Self-regulated Online Research Articles

Measuring online self-regulated learning among early-career medical doctors in a Massive Open Online Course on COVID-19

Introduction: As significant autonomy is given in a Massive Open Online Course (MOOC), online self-regulated learning (SRL) ability is crucial in such courses. We aim to measure the online SRL abilities of early-career medical doctors enrolled in a MOOC. Methods: We performed a cross-sectional study using the Self-Regulated Online Learning Questionnaire-revised version (SOL-Qr). We conducted a three-stage cross-cultural validation of the SOL-Qr, followed by Confirmatory Factor Analysis (CFA). The online SRL ability of 5,432 medical doctors enrolled in a MOOC was measured using the validated SOL-Qr. Results: The CFA of the cross-translated SOL-Qr confirmed its comparability to the original version, with excellent validity & reliability. Participants showed high levels of online SRL during their early careers. Despite high online SRL scores, MOOC completion rate was low. Male participants showed slightly better time management ability than female participants. Participants working in the primary epicentrum for COVID-19 in the country showed lower online SRL scores, while participants who graduated from higher accreditation levels showed better time management ability. Conclusion: The SOL-Qr and its subscales are suitable and valid for measuring the online SRL abilities of medical doctors in a MOOC during their early-career period. Time management ability was associated with previous experience during the medical education period, while other online SRL subscales were mostly associated with workload. However, as the scores did not correlate with the time spent for learning in MOOC, the corresponding learning effort or time spent may be beyond just the commitment to the described MOOC.

Exploring university students' self-regulation in online foreign language education

With the spread of the Covid-19 pandemic, online education has been embraced as an instructional delivery mode to ensure continuity in all levels of education including higher education. Given the fact that the success of online learning heavily relies on the learner's ability to autonomously regulate their learning, this study focuses on self-regulatory behaviors of tertiary level EFL learners enrolled in an online intensive language preparatory program. Quantitative and qualitative data were gathered to explore learners' perceived levels of online self-regulation; the predictive role of online learning self-efficacy beliefs in their self-regulation; and the strategies they used to regulate their learning in online education. Findings revealed learners' moderate level of online self-regulation predicted by their self-efficacy beliefs. Moreover, EFL learners used a variety of strategies to regulate their learning before, during and after synchronous online classes.

The Impact of an Online Sport Psychology Intervention for Middle-Distance Runners: Should Self-Regulation or Mindfulness Be Prioritized?

The purpose of this study was to qualitatively examine the impact of an online self-regulation intervention (SI) and mindfulness intervention (MI) in improving exercise-induced-pain (EIP) management, mental performance (i.e., SI and MI), and mental health. A sample of 16 middle-distance runners who participated in an 8-week SI or MI was purposefully selected based on the participants’ high, moderate, and low pre–post intervention evolution scores. Findings, which were generated by performing a codebook thematic analysis, suggest that both the SI and MI positively impacted EIP management, mental performance, and mental health. EIP literacy enabled the participants from both interventions to more effectively manage EIP. Furthermore, screening for mental illness symptoms and referring athletes in a timely manner to appropriate mental health practitioners was perceived as essential for them to receive the care and support they needed. Finally, a hybrid delivery format may be the most effective when providing online sport psychology interventions.

Supplemental Material for Varied Practice Testing Is Associated With Better Learning Outcomes in Self-Regulated Online Learning

Supplemental Material for Varied Practice Testing Is Associated With Better Learning Outcomes in Self-Regulated Online Learning

Individual differences matter in the effect of teaching presence on perceived learning: From the social cognitive perspective of self-regulated learning

With the popularity of various video-centric asynchronous online courses, there is a trend of self-regulated online learning. Teaching presence is very important in such courses, and has a positive effect on learners' perceived learning. However, the association between teaching presence and perceived learning could be moderated by other factors, and little is known about how individual factors moderate the association. From the social cognitive perspective of self-regulated learning, the study examined the moderating effects of self-efficacy to complete an online course and online vigilance, which reflects individuals' permanent cognitive orientation to online-related stimuli and the disposition to be preoccupied with them constantly, on the relationship, and whether these moderating effects were moderated by inhibitory control. A cross-sectional design was adopted. Results found self-efficacy to complete an online course could significantly promote the positive association between teaching presence and perceived learning, and the moderating effect would be stronger with higher inhibitory control; online vigilance generally could not influence the relationship between teaching presence and perceived learning, except when inhibitory control was very high, in which case online vigilance could prominently intensify the relationship. The findings contribute to a better understanding of the association between teaching presence and perceived learning. Practical implications for educators to train students to be better self-regulated learners in asynchronous online courses, as well as teachers to improve course quality are also discussed.

The use of a personalized learning approach to implementing self-regulated online learning

Nowadays, students are encouraged to learn via online learning systems to promote students' autonomy. Scholars have found that students' self-regulated actions impact their academic success in an online learning environment. However, because traditional online learning systems cannot personalize feedback to the student's personality, most students have less chance to obtain helpful suggestions for enhancing their knowledge linked to their learning problems. This paper incorporated self-regulated online learning in the Physics classroom and used a personalized learning approach to help students receive proper learning paths and material corresponding to their learning preferences. This study conducted a quasi-experimental design using a quantitative approach to evaluate the effectiveness of the proposed learning environment in secondary schools. The experimental group of students participated in self-regulated online learning with a personalized learning approach, while the control group participated in conventional self-regulated online learning. The experimental results showed that the experimental group's post-test and the learning-gain score of the experimental group were significantly higher than those of the control group. Moreover, the results also suggested that the student's perceptions about the usefulness of learning suggestions, ease of use, goal setting, learning environmental structuring, task strategies, time management, self-evaluation, impact on learning, and attitude toward the learning environment are important predictors of behavioral intention to learn with the self-regulated online learning that integrated with the personalized learning approach.

EXPLORING SELF REGULATED ONLINE LEARNING SKILLS OF EFL LEARNERS IN DISTANCE EDUCATION

The aim of the current study is to investigate self-regulated learning skills of EFL learners in online English course in distance education. It also aims to explore the relationship between the learners’ self-regulated learning skills, their age and gender. With this aim, the Self-Regulated Online Learning Questionnaire (SOL-Q) was conducted in order to assess learners’ self regulated online learning skills in terms of five sub dimensions including metacognitive skills, time management, environmental structuring, persistence and help seeking. 120 students studying in various departments of a state university participated in the study. Results revealed that the students could manage their environmental structuring skills at ‘good’ level. However, they rated themselves moderately successful in metacognitive skills, persistence, help seeking and time management dimensions. Furthermore, the study indicated that there was not a statistically significant difference between female and male EFL learners and no statistically significant difference was found between the learners’ age and their self-regulated skills. The study suggested that distance education students need to improve their self-regulated online learning skills in order to be more autonomous learners in learning a foreign language.

Time Perspectives as The Predictors of Online Self-Regulated Learning

Digital education considerably requires active participation of students in the learning process, the application of self-regulated learning activities for the attainment of successful learning results. The aim of the present study is the investigation of time perspectives as the predictors of online self-regulated learning. In our study 210 Transylvanian students participated, from the Babes-Bolyai University, Faculty of Psychology and Educational Sciences. Students’ demographic characteristics were recorded, for the assessment of self-regulation the Self-regulated Online Learning Questionnaire - Revised was applied and time perspectives of students were measured by the Zimbardo Time Perspective Inventory. A correlational, cross-sectional design was used. On the basis of the results of hierarchical regression, in our first model demographic characteristics explained 5% of the variance for the application of self-regulation activities. In our second model, controlling demographic variables, time perspectives explained an additional 33% of the variance for self-regulation. Self-regulated learning strategies are predicted among demographic characteristics by students’ gender, age and online learning, while out of time perspectives only future orientation proved to be a significant predictor. Females, older students, participants attending online education and higher future orientation apply to a higher degree the self-regulated learning strategies as males, younger students and participants with lower scores at future orientation.

An Attempt to Investigate the Correlation between Online Self-regulation and Self-efficacy in English Learning

This study examined the correlation between online self-regulation and self-efficacy in English learning using the questionnaire responses of 48 third-year university students. Principal component analysis reduced the online self-regulation to four valid sub-scales named help-seeking, goal setting, environment structuring, and self-evaluation. Meanwhile, the self-efficacy showed only two sub-scales labelled speaking and writing, and listening. Cronbach’s alpha analyses confirmed all the scales and sub-scales to reach acceptable reliabilities. Pearson coefficients demonstrated the existence of statistically significant relationships between some sub-scales of self-regulation and that of self-efficacy. Regression analyses confirmed that the time management sub-scale of English learning self-regulation was a predictor for listening, writing, and reading sub-scales of self-efficacy. The findings of this study may be helpful for the design and implementation of future online English learning courses.

Predicting Chinese University Students’ E-Learning Acceptance and Self-Regulation in Online English Courses: Evidence From Emergency Remote Teaching (ERT) During COVID-19

A growing concern for online course learning is to what extent learners are concentrated and self-regulated when they are isolated from their classmates and instructors. To address this issue, this study collected both quantitative and qualitative data from a sample of 580 Chinese university learners from varied majors, who were taking online English courses in Emergency Remote Teaching (ERT) mode during COVID-19. This study identified specific psychological and contextual factors that impact learners’ e-learning acceptance and online self-regulation, based upon Technology Acceptance Model (TAM). Learners’ actual use of three sub-processes of self-regulated strategies, namely, goal setting, task strategies, and self-evaluation was also examined. Partial least squares (PLS)-structural equation modeling (SEM) technique was used to test hypotheses and proposed research model. The quantitative results indicate that media richness, as a contextual factor, and social presence and flow, as two typical psychological factors, are determining antecedents that impact Chinese learners’ e-learning acceptance. Meanwhile, quantitative findings show that learners’ behavioral intention to use e-learning is a main contributor of their use of all three sub-processes of self-regulated learning strategies. Furthermore, thematic analysis was conducted to study the qualitative data, revealing that learners held rather divided and mixed perceptions regarding online learning experience. These findings have important implications for effective online English course design and implementation.

The Social Online-Self-Regulation-Theory

Abstract. This review aims, first, to introduce a novel theory for social media use, the so-called social online self-regulation theory (SOS-T) by embedding it into an exhaustive literature review, second, to present correlational as well as experimental evidence for the model from our own lab and beyond, and, third, to discuss self-regulatory variables correlated with social networking site (SNS) use reflecting self-regulatory processes such as social comparisons and age, social comparison orientation and materialism, grandiose, and vulnerable narcissism, self-esteem, and depressive tendencies, and, finally, SNS use and emotion regulation. We will also suggest future studies and discuss differences and similarities of more private SNS use (e.g., Facebook, Instagram, or Snapchat) to other SNSs, such as the business-oriented SNS XING.

A structural equation modeling on pandemic session dataset: Turkish university students’ new media literacy

This study was conducted to examine the relationship among university students’ new media literacy, epistemic emotions, argumentativeness, online self-regulation learning, and online learning self-efficacy perceptions. An associational research design guided the study including structural equation modeling analysis. A total of 3395 students from a state university in Turkey participated in the study through online learning management system of the university during Covid-19 pandemic period. Five different Likert scales were utilized to collect data. Analyses showed that university students’ self-efficacy perceptions and online self-regulated learning skills seemed to be effective on their epistemic emotions, argumentativeness and new media literacy skills. Also, participants’ epistemic emotions partly predicted their argumentativeness and new media literacy skills. Considering these results, designing online learning environments respectful for university students’ intellectual differentiation was suggested.

Gender Differences in Self-Regulated Online Learning During the COVID-19 Lockdown.

Due to the spread of the epidemic around the world, online learning has received greater attention. Self-regulated learning (SRL) is an important factor for students to achieve academic success. This study investigated the gender differences in SRL and three sub-constructs of SRL in the context of online learning, that is the preparatory, performance, and appraisal phases. A total of 400 high school students (males = 125, females = 275) from China participated in this study. In order to identify whether there were gender differences in their self-regulated online learning (SROL), independent sample t-test was performed. The results showed that there were significant gender differences in the SROL (t = –3.334, p = 0.001 < 0.01, d = –0.410) and the three sub-constructs of SROL (preparatory: t = –0.702, p = 0.008 < 0.01, d = 0.018; performance: t = –3.801, p = 0.000 < 0.01, d = 0.456; appraisal: t = –3.120, p = 0.002 < 0.01, d = 0.361). The findings indicated that females performed better than males in all three dimensions of learners’ online self-regulated learning.

Self-control profiles and Online Learning of Psychology students under and after COVID-19: achievements and novel perspectives

The given article examined the topicality, prospects of online learning and professionalization problems of the firstyear University students – future psychologists , during and after the COVID-19 outbreak. It has been summed up that professional online learning nowadays demands a rather high level of skills and competencies formation in implementation of online self-regulated learning, and ,especially, self-control being its dominating component under pandemic and lockdown. The current article deals with technological, psychological, social and emotional difficulties which students-beginners face in the online learning process. The views of foreign and Ukrainian scholars are offered on the students’ online self-control profiling types , and their impact on academic performance, the quality and outcomes of University learning. Major principles and methods of the current study presented, three types of students’ online self-control profiles, as well as established differences between them, are described, anticipated results of their efficacy are presented as a potential of quality self-regulated online learning, further research trajectories are suggested.

Facilitating goal setting and planning to enhance online self-regulation of learning

Online learning environments demand learners to self-regulate their learning but many learners are poor at self-regulated learning (SRL). In this paper, two studies were conducted to examine the effect of two SRL supports, i.e., guiding goal setting and planning using an approach known as mental contrasting and implementation intentions (MCII) and prompting SRL using videos, on motivation in the form of task value and self-efficacy, SRL in the form of persistence, task strategies, self-evaluation, and self-satisfaction, student engagement, performance, and goal attainment. In Study 1, a two (MCII, no MCII) by two (prompt, no prompt) between-subjects controlled experiment was conducted in an online video-based learning environment. Results showed that learners who completed the MCII had more sustained task value and higher persistence than learners who did not receive the MCII. Study 2 was conducted in five Massive Open Online Courses where we compared three conditions: MCII, goal only, and control. Results showed that there were no significant differences in SRL activities, course engagement and performance, and goal attainment among the three conditions. Collectively, the results suggest that the task duration in which learners’ goals can be attained (e.g., within one short session or over multiple weeks) might influence the effectiveness of MCII.

A structural equation modeling analysis of relationships among university students\u2019 readiness for e-learning, self-regulation skills, satisfaction, and academic achievement

The aim of this study is to examine the relationships of readiness for e-learning with self-regulation skills, satisfaction, and academic achievement in university students taking campus-based courses via distance learning. In this context, a structural equation model is proposed by taking studies in the literature into consideration. The proposed model is analyzed and discussed in the light of the literature. A total of 749 university students from a state university in Turkey participated voluntarily in the study. A scale of readiness for e-learning, a self-regulated online learning scale, and a satisfaction survey were used as data collection tools in the study. The fit index values obtained from the analysis were observed to be χ2/df = 4.11, CFI = .90, and RMSEA = .06, which were at an acceptable level. The research results reveal that the university students’ readiness for e-learning was effective on their self-regulation skills, satisfaction, and academic achievement. Implementation suggestions are made in line with the research findings and conclusions.

Examining the Relationship between EFL Students' OSEL and Their Achievement

Background:&#x0D; The purpose of this study is to examine the correlation between EFL student’s online self-regulated (OSEL) and the achievements of senior high school students in Malang, Indonesia. The subject of this study were 136 EFL students of a senior high school in Malang, Indonesia with the use of two instruments: the online self-regulated learning questionnaire (containing five dimensions of OSEL; Goal Making, Environmental Construct, Task Approach &amp; Time Management, Help-Seek, Self - Evaluation) and the mid-term test scores.&#x0D; Methodology: &#x0D; The Pearson product-moment correlation is used to analyze the data and further verifies that students OSEL strongly correlates to their achievements while undertaking online learning.&#x0D; Findings: &#x0D; It was reported that the higher the OSEL, the better they achieve. For example, students who have high achievement test scores agree that finding someone knowledgeable in online learning is an excellent solution to solve online learning difficulties. However, since technical and individual obstacles that students encounter could be the challenge, the role of teachers are essential in helping students overcoming them.&#x0D; Conclusion: &#x0D; The results of this correlation provide prediction towards pedagogical implications related to successful teaching-learning process, teacher professionalism, and maintaining a high quality school.

Health management students\u2019 self-regulation and digital concept mapping in online learning environments

BackgroundSelf-regulation of learning is considered one of the key capabilities deemed essential for the healthcare system and its workers to cope successfully with the current challenges they are facing. Therefore, healthcare curricula are increasingly called upon to support self-regulation as a central learning outcome. With scant relevant publications describing how students of medicine and other healthcare professions regulate their learning, this study set out to design and assess a problem-based learning using digital concept mapping in an online course and to evaluate the set of connections between this intervention and Health Management students’ self-regulation of learning.MethodStudents of a Management of Health Service Organizations program (100) were presented with an ill-structured problem, relevant to their course content (accreditation process within hospitals) and were asked to argue for or against the implementation of the accreditation process. The participants were asked to detail five arguments to establish their decision by using Mindomo, a popular digital platform for designing concept maps. The students were given predefined criteria that allowed them to self-assess their maps. Data for the analysis were gathered by two measurements: Concept mapping for problem-based learning scale and the Online self-regulated learning scale and were analyzed by using Partial Least Squares - Structural Equation Modeling.ResultsThe analyses showed that at the beginning of the process, students’ online self-regulation was found lower than at the end of the intervention, and only two self-regulation sub-factors: Goal setting and Task strategies, were positively linked to students’ perceptions of the intervention. After the intervention, the analyses showed that it increased the levels of four Online self-regulation sub-factors: Goal setting, Task strategies, Environment structuring, and Time management.ConclusionsTeachers need to recognize and account for different types of learners and encourage and scaffold students’ effective use of self-regulation strategies. Low self-regulated learners might fail to see the advantages of concept mapping in problem-solving activities. Combining these teaching and learning tools together with the use of advanced technology in an online course that encourages active learning enables the development and acquisition of abilities of self-directed learning among students in the medical and health management professions.

An integrated model for exploring college students’ engagement and competence development in flipped learning using partial least squares path modeling

ABSTRACT While flipped learning has attempted to explain the benefits of technology applied to educational settings, this study aims to validate research questions and test the theory of the learning strategies in flipped learning. A self-designed questionnaire, consisting of 17 critical indicators of online self-regulation, project-based learning and 5-competence development, was administered to collect data from 87 college students in China. The partial least squares structural equation modeling (PLS-SEM) was used to analyze the relative factors. The results indicated that an integrated model, combining online self-regulation and project-based learning, provided a marginally better explanatory power; project-based learning had a better prediction of 5-competence development than online self-regulation. An integrated model is proposed to detect the latent relationships among the data with structural equation modeling (SEM). The SEM provides a clear picture of the relations among the variables, and shows that online “Help seeking” in MOOC lecture videos and engagement in “Teamwork” in class are the key indicators of student engagement in flipped learning. This study adopted an innovative approach which emphasizes the diagnosis of students’ engagement, and proposes an integrated model combining online self-regulation and project-based learning constructs for a theoretical framework to predict learning performance in flipped learning.

Procrastination predicts online self-regulated learning and online learning ineffectiveness during the coronavirus lockdown

During the lockdown due to SARS-CoV-2 (coronavirus lockdown), there has been a tremendous increase in the number of students taking online courses. Few studies, however, have examined the individual dispositions that influence self-regulated online learning during the coronavirus lockdown. To address this gap, the present study explored the ineffectiveness of online learning and examined how it can be predicted by self-regulated online learning and participants' procrastination disposition. Data of 433 participants were collected and subjected to confirmatory factor analysis with structural equation modeling. The results indicated that procrastination is negatively related to 6 sub-constructs of self-regulated online learning: task strategy, mood adjustment, self-evaluation, environmental structure, time management, and help-seeking. These sub-constructs were negatively related to the learners' perceived ineffectiveness of online learning. However, the relationship between perceived learning ineffectiveness and environmental structure or help-seeking was weaker than that with task strategy or mood adjustment, indicating that the latter two subtypes of self-regulated online learning should be considered before students engage in online learning.