Self-regulated Learning Research Articles

Pengaruh Penggunaan Gadget dan Self Regulated Learning terhadap Minat Belajar pada Mata Kuliah Web Design Mahasiswa Pendidikan Administrasi Perkantoran

This study aims to investigate the influence of gadget use and self-regulated learning on the learning interest of students majoring in Office Administration Education who take Web Design courses. Through a quantitative approach, data was collected from odd semester students in the 2023/2024 academic year using a validated questionnaire. The results of multiple linear regression analysis show that gadget use and self-regulated learning significantly affect learning interest, with a coefficient of determination (R²) of 0.65, which means 65% of the variation in learning interest can be explained by these two variables. Hypothesis testing showed an F-statistic value of 24.56 (df = 2, sig < 0.01), confirming a significant influence between the independent variables and study interest. The results of this study indicate that gadget usage and self-regulated learning have a significant positive influence on the learning interest of students majoring in office administration majoring in web design.

Path Analysis of Grit, Self-Efficacy, Self-Regulation, and Science Academic Performance in Online Learning

Aims: This study investigates the relationships between grit, self-efficacy, self-regulation, and Science academic performance among junior high school students in an online learning context. While previous research has established the importance of these non-cognitive skills in academic success, their specific interplay during the pandemic remains underexplored. This study tested a model examining the impact of grit, self-regulation, and self-efficacy on students' Science academic performance in an online setting, focusing on the extent of these traits, their relationships with performance, individual contributions, and the mediating role of self-regulation and self-efficacy. Study Design: The research employed a quantitative design and path analysis. Place and Duration of Study: The study included 216 junior high school students from a private school in Bacolod City during the 2020-2021 school year selected through random sampling. Methodology: Data were collected through online surveys, completed via Google Forms over two weeks. The instruments used were the Short Grit Scale, Self-Efficacy Online Learning Questionnaire, and Academic Self-Efficacy Scale for Filipino Junior High School. Descriptive and inferential statistics were used to analyze data, with model relationships tested using path analysis. Results: Findings revealed that students exhibited average levels of grit and moderately high levels of self-efficacy and self-regulation. Grit did not directly impact Science academic performance, nor did self-regulation or self-efficacy mediate this relationship. An unexpected finding was that consistency of interest negatively impacted time management, while perseverance of effort positively influenced metacognitive skills, time management, and persistence. Conclusion: These results highlight the complexity of factors influencing academic performance in online learning environments. While grit, self-efficacy, and self-regulation are essential for student development, their direct impact on academic performance requires further investigation. This study underscores the need for educational strategies that cultivate these non-cognitive skills to improve students' academic performance across diverse learning settings and modalities.

An Assignment Wrapper Promotes Student Self-Regulation of Learning in a Science Writing Assignment

An Assignment Wrapper Promotes Student Self-Regulation of Learning in a Science Writing Assignment

Biographical aspects of self-regulated learning during repeatedly failing in upper-secondary exit examination

The exit examination from upper-secondary school represents an essential part of the educational trajectory. However, the transition to the labour market or higher education can be complicated by failure. The qualitative study deals with repeatedly unsuccessful students who have struggled to pass the Czech exit exam called the Matura examination. The research focused on how students approach exam attempts in terms of preparation and their reflection on the impact of failing. The study uses the self-regulated learning model to understand these aspects. The data used in this study consisted of 44 biographical narrative interviews with 27 informants aged 18 to 21 years, followed two years after their first attempt at the exit examination. Results show that students adopt ineffective learning and motivational strategies during the preparation phase before the exam. However, after the second attempt failure, which is associated with social pressure and negative emotions such as shame, they tend to change the way of preparation.

Exploring the Correlation between Self-regulated Learning Strategies and Academic Success in Higher Education

This study aims to determine how many Jordanian university students use self-regulated learning strategies, how much these strategies vary by gender and degree of accomplishment, and what the correlation is between students' strategy possession and their degree of academic success. One hundred twenty male and female students made up the sample. The researcher ensured the validity and reliability of the self-regulated learning techniques questionnaire before administering it to them. The results showed that participants were adequately proficient in listening (mean 3.5, SD 0.8), summarizing (mean 3.7, SD 0.6), and arranging (mean 3.6, SD 0.7), among other tactics. There were clear gender differences; men scored higher on the Listening and Arranging tasks, with the former having a significantly higher mean score (p-value 0.042) and the latter having a slightly higher mean score (3.6). Self-regulated learning strategiesAdditionally, there was a correlation between academic performance and strategy proficiency. High achievers tended to have better scores across the board. However, they were solid in the areas of summarizing (mean 3.9, SD 0.4) and listening (mean 3.8, SD 0.5), where there were strong correlations between the two and academic success (mean 0.59). These findings demonstrate that self-regulated learning strategies are crucial for academic success and that improving these abilities might substantially impact educational performance.

Physician development through interprofessional workplace interactions: A critical review.

Increasingly, medical training aims to develop physicians who are competent collaborators. Although interprofessional interactions are inevitable elements of medical trainees' workplace learning experiences, the existing literature lacks a cohesive model to conceptualise the learning potential residing in these interactions. We conducted a critical review of the health professions and related educational literatures to generate an empirically and theoretically informed description of medical trainees' workplace interactions with other health professionals, including learning mechanisms and outcomes. Informed by Teunissen's conceptualisation of workplace learning, we highlight the individual, social and situated dimensions of learning from interprofessional workplace interactions. Workplace interactions between medical trainees and other health professionals tend to be brief, spontaneous, informal and often implicit without the predefined educational goals and roles that structure trainees' relationships with physician supervisors. Yet they hold potential for developing trainees' knowledge and skills germane to the work of a physician as well as building their capacity for collaboration. Our review identified a spectrum of learning theories helpful for examining what and how trainees learn from these interactions. Self-regulated learning theories focus attention on how learning depends on trainees interpreting and judging the cues offered by other health professionals. Sociocultural frameworks including the zone of proximal development and legitimate peripheral participation emphasise the ways other health professionals support trainees in performing tasks at the border of their abilities and facilitate trainees' participation in clinical work. Both the landscapes of practice theory and cultural historical activity theory highlight the influence of surrounding social, cultural and material environments. These theories are unified into cohesive model and demonstrated through an illustrative example. Interprofessional workplace interactions harbour a range of learning opportunities for medical trainees. Capitalising on their potential can contribute to training collaborative practice-ready physicians alongside traditional intra-professional interactions between physicians and merits future research.

Goal-Setting, Active Practice, Self-Monitoring: a Web-Based System to Improve Programming Proficiency

Mastering programming fundamentals poses a significant challenge for students, especially in demanding higher education environments. This pilot study investigates the effectiveness of a web-based system, SoftwareSkills, designed to enhance programming proficiency among second-year bachelor students. SoftwareSkills leverages, active practice, and self-monitoring to support programming practice. Thirty-six students (n=36) participated in a quasi-experimental design, divided into independent exploration and instructional session groups. User interaction data, exercise performance, and behavioural patterns were analysed. The study revealed four distinct learning strategies: reviewing skill masteries, dedicating sufficient time to each question, striving for mastery, and adapting spaced practice. However, some students exhibited rapid responses and minimal practice, suggesting a need for deeper learning strategies. These findings highlight the suitability of self-regulated learning and deliberate practice in programming education. Future work will involve first and second-year programming students and integrate AI-driven personalised learning features to optimise the learning experience. This research contributes insights into effective practices and the potential of technology-aided learning to support student success in programming education.

A Qualitative Study on Self-Regulated Learning of Chinese as a Second Language

The characteristics and challenges of learning Chinese as a second language (CSL) warrant a deeper understanding of the learning process from various perspectives to promote learning development. In the domain of second language acquisition research, the concept of self-regulated learning (SRL) has been gaining increased attention from researchers. SRL encompasses a broader and more profound connotation than previous models, as it emphasizes the strategic application of learning techniques to facilitate language development. This theoretical shift has yielded fruitful research results in the field. By investigating SRL, we can examine the dynamic and cyclical process of CSL learning from multiple dimensions and identify learning problems from the learners’ perspective, ultimately finding solutions. This study aims to conduct qualitative research on SRL among five CSL learners with different cultural and educational backgrounds, utilizing qualitative study methods. The research focuses on exploring the characteristics and patterns of SRL among CSL learners, offering insights for teaching practices. The study will employ semistructured interviews and reflective journals to gather in-depth data on the learners’ SRL processes. Key questions include how SRL impacts CSL learning outcomes, the distinctive characteristics of applying SRL theory to CSL learning, and the effective implementation of SRL strategies to enhance learning. By addressing these questions, the research aims to fill the gap in existing literature and provide practical insights for educators to support the development of autonomous, self-regulated Chinese language learners. This, in turn, will contribute to improving instructional methods and promoting better academic achievements in CSL learners.

The relationship between peer social support and self-regulated learning in Samarinda Ulu state junior high school students

Purpose: The capacity for self-regulated learning (SRL) assumes a pivotal role among state junior high school students (SMPN), necessitating autonomy in learning endeavors due to the evolving nature of educational processes. Social contextual factors, especially peer social support (PSS), exert significant influence on the manifestation of self-regulated learning. This study aims to elucidate the association between peer social support and self-regulated learning among students of state junior high schools in Samarinda Ulu. Method: Employing quantitative correlational research methodology. Random sampling techniques were employed, with sample sizes adjusted to ensure representation across schools, resulting in a cohort of 347 participants from seven state junior high schools within the Samarinda Ulu sub-district. Research instruments included the Peer Support Questionnaire scale and measures of self-regulated learning. Statistical analysis, using the Pearson Product Moment test aided by the Jamovi application. Result: Revealed a significant correlation with a p-value of 0.001 < 0.05 and a correlation coefficient of r = 0.399, This shows that the hypothesis in this study is proven, showing that there is a relationship between PSS and SRL. This value shows a positive number, which means there is a positive but relatively low relationship between the SRL variable and the PSS variable. The meaning can be interpreted as if the higher the PSS, the SRL possessed by students will also be classified as high. Then conversely, if the PSS level obtained is lower, then the SRL possessed by students will also be classified as low. Conclusion: Based on the results of the Pearson product moment correlation test, ap value of 0.001 <0.05 and an r value = 0.399 was obtained, which means that the working hypothesis (Ha) in this study was accepted, namely that there is a significant relationship between peer social support and self-regulated learning, the nature of the correlation is positive, which means that an increase in the score on the peer support variable will cause an increase in the SLR score. However, the magnitude of the correlation is relatively low, where the variance in peer social support that can explain the SLR variance is 15.92%.

A self-regulation perspective on L2 grit development and its impact on language achievement

Evidence from recent studies has shown that sustained perseverance and passion for long-term goals in the domain of second language (L2) learning – a personality trait called L2 grit – is associated with various aspects of language learning, including positive psychological attributes (e.g. motivation, beliefs, and emotions), actions (e.g. learning efforts and strategy use), and achievement (e.g. course and task performance). Meanwhile, relatively little has been written about the mechanism through which such relationships emerge. Expanding upon L2 grit’s association with self-regulated learning (SRL) behaviors and SRL-related psychological variables, this study explores the development of L2 grit and its role in language achievement using the SRL framework. One hundred and eight English majors in Japan responded to a questionnaire, granted permission to access their L2 class records, and completed a standardized L2 test. The main findings include: (1) the psychological attributes that facilitate SRL may play a critical role in increasing levels of L2 grit, (2) the relationship between L2 grit and achievement in language classes was mediated by behavioral self-regulation (intensified learning efforts), and (3) L2 grit may promote different types of self-regulatory behaviors depending on learners’ status (i.e. learning experience and proficiency levels) and learning situations (e.g. learning content and goals). The results provide one explanation for the superior performance of gritty learners in L2 classes observed in previous studies.

The relationship between peer social support and self-regulated learning in Samarinda Ulu state junior high school students

Purpose: At the age of 2-7 years, based on Piaget's theory, children are in the pre-operational stage. At this stage, children have the ability to understand mathematical concepts concretely through sensory and interactive experiences. Strategies are needed to improve the children's cognitive abilities. This research aims to provide an overview of early childhood cognitive development at the pre-operational stage in the introduction of geometric shapes. Method: Researchers used a descriptive qualitative approach to interpret and explain patterns of behavior of children who are in the pre-operational stage. Data collection techniques included structured interviews and observations with checklists based on Jean Piaget’s cognitive theory. Respondents in this study were selected using a purposive sampling technique. The respondents consisted of five children aged 6-7 years from the Islamic Kindergarten 'Aqila who were not familiar with geometric shapes. Result: The results of this study indicate that children who are the subjects of the study exhibit behavior patterns consistent with Piaget's theory in the pre-operational stage, Children are able to recognize shapes through interactive learning experiences. Conclusion: Based on the results, it is necessary for parents and teachers to pay attention to the child's cognitive development stage when teaching geometric concepts.

Leveraging unlabeled data: Fostering self-regulated learning in online education with semi-supervised recommender systems

Leveraging unlabeled data: Fostering self-regulated learning in online education with semi-supervised recommender systems

Self-regulated learning support in technology enhanced learning environments: A reliability analysis of the SRL-S rubric

Advanced learning technologies have become a focal point in recent educational research, holding the promise of enhancing students' self-regulated learning (SRL) by facilitating various processes of planning, monitoring, performing, and reflecting upon learning experiences. However, concerns have arisen regarding the efficacy and design of technologies, the spectrum of possibilities for SRL support, and too ambiguous claims associated with these technologies. To address these uncertainties and to provide a platform for generating the more empirical evidence, Self-Regulated Learning Support (SRL-S) rubric was developed to facilitate the assessment of SRL support in technology-enhanced learning environments. It is grounded in established educational theory and proven empirical research results. This article presents a study that extends the application of the rubric to establish its reliability and validity, filling a gap in prior research. First, content, criterion-related, and construct validation were performed through international and interdisciplinary experts’ reviews. Subsequently, inter-rater and intra-rater reliability were assessed using Intraclass Correlation Coefficients and Cohens Kappa tests. The outcomes of these analysis demonstrated that the SRL-S is a reliable and valid instrument for assessing the levels of SRL support within learning environments. Additional implications for further research to support self-regulated learning are discussed.

Its Role In Self Regulated Learning Case Study On Junior High School Students Of It Madani Islamic School

Adolescence is a critical period for student education, where students are in the transition period of childhood to adulthood that undergoes changes in their biological, cognitive and socio-emotional conditions. Based on the stage of development, junior high school students should be able to have responsibility in learning, students are able to manage themselves in their way of learning. The focus of this study aims to examine the role of personality type (based on the STIFIn method) and school climate on the self-regulated learning of SMP IT Madani Islamic School students. Sampling in this study used a total sampling involving 300 students. Data collection uses personality type data (based on the STFIn method), school climate scale and self-regulated learning scale. The data analysis technique used in this study is multiple regression analysis. The results showed that STIFIn personality type and school climate played a significant role in self-regulated learning with a value of F = 44,707 and a value of p<.05. Personality type and school climate made an effective contribution of 26.2% to self-regulated learning.

A Development of Online Problem-Based Learning Model to Promote Self-Regulated Learning among Undergraduates

This research aimed to develop and evaluate an online problem-based learning (PBL) model to enhance undergraduates' self-regulated learning (SRL). The Research and Development method was used in two phases: the first was to develop and validate the model. It began with a literature review to identify core features of effective PBL and SRL within an online environment, then set a concept framework and create the model manually. Seven experts were reviewed following the model, and it was piloted for further optimization. Second, the model will be implemented and evaluated with a sample of 52 students at Thailand National Sports University, Chumphon Campus. The main instruments used were the developed model, the model quality questionnaire, SRL assessments (pre- and post-), and after-action review forms. The results showed that (1) a developed model consisting of four sections: orientation of the model, the model of instruction, application, and student outcomes. Six core components: authentic problems, online collaborative learning, self-regulated learning, instructional scaffolding, online learning resources, and authentic assessments, which are organized through three main processes: preparation, implementation of SRL strategies, and summative assessment, and all activities using an iterative learning three stages: meeting the problem and planning, doing and checking, and presenting the result and reflecting. Experts agreed on the quality of this model, which was excellent. (M= 4.61, SD=0.52). (2) Average SRL score was significantly higher after learning with this model compared to prior us (p<0.01, large effect size; d=1.03). The findings of this study support the developed model that can improve the students' SRL effectiveness. Overall, the students agreed that an instructor plays a critical role in developing their SRL and problem-solving skills. The students demonstrated more self-assurance and were apt to use this method to learn other subjects.

Beyond Frequency: Using Epistemic Network Analysis and Multimodal Traces to Understand Temporal Dynamics of Self-Regulated Learning

Beyond Frequency: Using Epistemic Network Analysis and Multimodal Traces to Understand Temporal Dynamics of Self-Regulated Learning

Self-regulated learning, self-efficacy and life-long learning: the mediating role of future orientation

PurposeThis study aims to investigate the intricate relations between self-regulated learning, life-long learning and academic self-efficacy, while also evaluating the mediating influence of future time orientation.Design/methodology/approachUtilizing a cross-sectional research design, data were amassed from 2,943 Romanian secondary school students in 11th and 12th grades via structured questionnaires: the self-regulated learning questionnaire, the academic self-efficacy scale, the future orientation scale derived from the Zimbardo time perspective inventory (ZTPI) and the lifelong learning scale.FindingsThe findings corroborate that self-regulated learning and academic self-efficacy when mediated by future time orientation, bolster life-long learning.Practical implicationsThese results indicate that enhancing comprehension of future time orientation within the educational framework could potentially boost life-long learning.Originality/valueThis work is an original contribution, synthesizing existing literature, empirical findings and theoretical frameworks to advance our understanding of the multifaceted relationships shaping individuals' learning journey throughout their lives. Our focus on the mediating influence of future orientation adds a novel dimension to understanding the mechanisms through which individuals actively engage in learning throughout their lives.

Toward a comprehensive understanding of massive open online course adoption among college students

AbstractThis paper investigated the factors affecting the behavioral intention (BI) and usage behavior (UB) of 548 Chinese college students in massive open online courses (MOOCs). We extended the unified theory of acceptance and use of technology model by incorporating self‐regulated learning (SRL) management, perceived pleasure (PP), and perceived cost constructs. This study also analyzed the moderating role of individual differences in gender, grade, major, and experience in MOOCs. Data were collected through both offline surveys across 10 universities and an online survey platform. Results from structural equation modeling and multi‐linear regression analyses revealed that students' BI was significantly and positively influenced by six factors: performance expectancy, effort expectancy, facilitating conditions (FC), social influence, SRL management (SM), and PP. Furthermore, we found that UB was predicted by BI, FC, and SM. Moreover, BI played a mediating role in the relationship between the two determining variables (i.e., FC and SM) and UB. Differences in MOOC experience level had a moderation effect. The study provided implications for various stakeholders regarding designing MOOC platforms, structures, and teaching activities.

Self-Regulated Multimedia Cognitive Learning Model: Enhancing Vocabulary Acquisition in Adult English Learners

Self-Regulated Multimedia Cognitive Learning Model: Enhancing Vocabulary Acquisition in Adult English Learners

Predicting student burnout in blended environments: a complementary PLS-SEM and machine learning approach

ABSTRACT Despite student burnout has attracted the attention of researchers and practitioners in education and psychology, little is known about the factors that contribute to it in blended contexts. This research aims to formulate and verify a predictive model elucidating how social support and self-regulated learning predict student burnout within blended learning contexts. Utilizing data collected from a sample of 303 students, a complementary method that combines partial least squares structural equation modeling (PLS-SEM) with machine learning (ML) algorithms was implemented. The favorable impact of perceived social support and self-regulated learning in mitigating burnout was demonstrated by the PLS results. Additionally, it was discovered that self-regulated learning fully mediates the correlation between offline social support students received and learning burnout. Furthermore, the employed ML algorithms achieved a prediction accuracy rate exceeding 70% in the majority of cases. Employing a complementary analytical method is believed to offer a substantial contribution to the current body of research on learning burnout generally and blended learning in particular.