scholarly journals Examining indicators for effective studying – The interplay between student integration, psychological flexibility and self-regulation in learning

2018 ◽  
Vol 10 (2) ◽  
pp. 225
Author(s):  
Henna Asikainen
Keyword(s):  
Structural Equation ◽  
Self Regulation ◽  
Psychological Flexibility ◽  
Learning And Teaching ◽  
Self Regulated Learning ◽  
Student Integration ◽  
Regulated Learning ◽  
Theology Students ◽  
Relationship Of ◽  
The Relationship

Prolonged study times and dropouts from university studies have created a need to examine more ways to support students’ studying. This study aims to examine the relationship between the self-regulated learning, psychological flexibility and student integration comprising teacher and student interaction, students’ commitment to studying as well as the relationship of these aspects to study progression. The participants of this study were 117 theology students. Items measuring student integration were first analysed with factor analysis. The relationship between student integration, psychological flexibility, self-regulated learning and study progression was analysed with correlation analyses and Structural Equation Modelling (SEM). The results show that psychological flexibility is related to study progression, self-regulated learning and student integration. The effect of self-regulated learning and student integration to study progression was not significant. This study suggests that students’ way of coping with negative thoughts and emotions should be taken into account when considering learning and teaching.

Self-Regulated Learning as a Method to Develop Scientific Thinking

2015 ◽  
pp. 1189-1214
Author(s):  
Erin E. Peters Burton
Keyword(s):  
Nature Of Science ◽  
Self Regulation ◽  
Scientific Thinking ◽  
Scientific Enterprise ◽  
Self Monitoring ◽  
Self Reflection ◽  
Learning And Teaching ◽  
Self Regulated Learning ◽  
Evaluation Of Performance ◽  
Regulated Learning

The development of skills and the rationale behind scientific thinking has been a major goal of science education. Research has shown merit in teaching the nature of science explicitly and reflectively. In this chapter, the authors discuss how research in a self-regulated learning theory has furthered this finding. Self-regulation frames student learning as cycling through three phases: forethought (cognitive processes that prepare the learner for learning such as goal setting), performance (employment of strategies and self-monitoring of progress), and self-reflection (evaluation of performance with the goal). Because students have little interaction with the inherent guidelines that drive the scientific enterprise, setting goals toward more sophisticated scientific thinking is difficult for them. However, teachers can help students set goals for scientific thinking by being explicit about how scientists and science function. In this way, teachers also explicitly set a standard against which students can self-monitor their performance during the learning and self-evaluate their success after the learning. In addition to summarizing the research on learning and teaching of self-regulation and scientific thinking, this chapter offers recommendations to reform science teaching from the field of educational psychology.

scholarly journals The Relationship between Self Regulated Learning Participants in Competency Test With Competency Test Results for Indonesian Midwives in South Sulawesi for the period July-September 2020

2021 ◽  
Vol 8 (1) ◽  
pp. 28-33
Author(s):  
Zelna Yuni Andryani.A ◽  
Nurfaizah Alza
Keyword(s):  
Self Regulation ◽  
Sampling Technique ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Self Regulated Learning ◽  
Study Approach ◽  
South Sulawesi ◽  
A Value ◽  
Regulated Learning ◽  
The Relationship

Background: Self-regulation in learning (Self-regulated learning) is a concept about how a student becomes a regulator for his own learning. Self-regulation is a process in which a student activates and supports cognition, behavior, and feelings which are systematically oriented towards achieving a goal. Learning outcomes are determined by effort rather than level of intelligence. The effort in question is that students are able to organize themselves to learn independently. Purpose: : This study aims to determine the relationship between self-regulated learning and the Indonesian midwife competency test. Methods: The research design used analytical survey with cross sectional study approach using snow ball sampling technique with a sample size of 192 respondents. Results: The results showed that there was no relationship between Self Regulated Learning and the results of the Indonesian Midwives Competency Test with a value of p = 0.236 (> α value). The need for further research on other factors that affect the results of the Indonesian Midwives Competency Test.

scholarly journals The relationship between mobile learning and self-regulated learning: A systematic review

2020 ◽  
Vol 36 (4) ◽  
pp. 151-172
Author(s):  
Agnieszka Palalas ◽  
Norine Wark
Keyword(s):  
Systematic Review ◽  
Mobile Learning ◽  
Self Regulation ◽  
Geographic Location ◽  
Theoretical Models ◽  
Mobile Technologies ◽  
Measurement Instruments ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
The Relationship

A systematic review of 38 primary research peer-reviewed articles, drawn from six databases and spanning from January 2007 to January 2019, was conducted to determine the principle information that they collectively offered on the relationship between mobile learning (m-learning) and self-regulated learning (SRL). In answering the research questions posed, a synthesis of the following 12 key elements was undertaken: (1) research aims, (2) research methodologies, (3) outcomes, (4) education discipline areas, (5) educational levels, (6) educational contexts, (7) geographic location, (8) time frame, (9) type of device, (10) m-learning and SRL definitions, (11) theoretical models, and (12) m-learning, self-regulation (SR), and SRL variable measurement instruments. The frequency of studies on the relationship between m-learning and SRL increased in more recent years, as did the types of devices used in these studies. More than three quarters of the studies concluded that m-learning enhanced SRL, SRL enhanced m-learning, or m-learning and SRL enhanced other learning factors (e.g., health, curriculum development). Moreover, the relationship between m-learning and SRL was dynamic and complex. A primary recommendation was to intentionally integrate m-learning and SRL into formal curricula guided by informed, technologically adept educators who provided appropriate, ever-decreasing support and scaffolding as learners became more self-determined.   Implications for practice or policy: M-learning research and practice should be founded upon relevant theory and validated definitions of m-learning that consider ever-advancing technologies and related pedagogies that include participatory activities. M-learning designers should ensure that mobile technologies are used intentionally and selectively, guided by clearly defined learning objectives, and integrated into the curriculum by technologically adept educators who provide appropriate, ever-decreasing support and scaffolding as learners become more self-determined. When designing m-learning, educators should consider digital safety and privacy issues.

scholarly journals The Moderating Role of Personal Profiles on the Relationship between Multicultural Awareness and Self-Regulated Learning

2020 ◽  
Vol 1 ◽  
pp. 1-11
Author(s):  
Fifi Khoirul Fitriyah ◽  
M. Sukron Djazilan ◽  
Nopriadi Saputra ◽  
Mokhamad Sodikin ◽  
Umi Anugerah Izzati
Keyword(s):  
Structural Equation ◽  
Equation Model ◽  
Multicultural Awareness ◽  
P Value ◽  
Path Coefficient ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
The University ◽  
The Relationship

Multicultural awareness is very crucial for every student, as well as self-regulated learning. Until now, research on these two variables is still min-imal. Moreover, there are no studies that examine the factors that influence the relationship between the two variables. This study aims to explore the relation-ship between multicultural awareness and self-regulated learning in students and discuss the role of students' personal profile in the relationship between the vari-ables. The respondents of this study were 165 students of the City of Surabaya, Indonesia. The structural equation model is used for data analysis techniques. The results showed that hypothesis 1 was accepted, meaning a positive and sig-nificant effect of multicultural awareness on self-regulated learning. The path co-efficient was 0.284, while the t-statistics were more significant than 1.96 (2,544) or p-values less than 0.05 (0.011). Whereas in hypothesis 2, it is rejected, the path coefficient is -0.230 while the t-static is less than 1.96 (1,811) or the p-value is more significant than 0.05 (0.071). In conclusion, personal profiles do not affect the relationship between multicultural awareness-ness and self-regulated learn-ing. This study's recommendation is to provide information on need assessments useful in determining appropriate counseling strategies at the University.

scholarly journals ANALISIS KEMAMPUAN KONEKSI MATEMATIK SISWA MTS DITINJAU DARI SELF REGULATED LEARNING

2018 ◽  
Vol 1 (4) ◽  
pp. 657 ◽  
Author(s):  
Hadin Hadin ◽  
Helmy Muhammad Pauji ◽  
Usman Aripin
Keyword(s):  
Everyday Life ◽  
High Learning ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
The Subject ◽  
Relationship Of ◽  
The Relationship ◽  
Research Stage ◽  
Descriptive Method ◽  
Mathematical Connection

This study aims to describe the extent to which the mathematical connection ability of students who viewed from Self Regulated Learning seen from students' mistakes in solving a problem of mathematical connection ability. The subject of this study students Classes VIIIA MTs AL-Hikmah Talegong Garut II as many as 20 students. The method used in this research is a descriptive method with quantitative approach. The research stage consisted of 4 stages, among others: self-regulated learning questionnaires, tests of mathematical connection ability, data analysis and draw conclusions. The results of the research were obtained that 1) Students who have high learning independence make mistakes on inter-topic relationships in mathematics and apply/use mathematics in other fields or in everyday life, 2) Students who have learning independence are making mistakes in understanding relationships between topics in mathematics as well as in identifying processes or procedures in carrying out basic concepts, 3) Students have low self-reliance to make mistakes in understanding the relationship of mathematics in other fields of science or in everyday life. Based on the results of the study can be concluded that the better the students' independence in learning then the smaller make a mistake in solve the problem of mathematical connection capabilities.

scholarly journals SELF-REGULATED LEARNING AS A MEDIATOR IN THE RELATIONSHIP BETWEEN PEER LEARNING AND ONLINE LEARNING SATISFACTION: A STUDY OF A PRIVATE UNIVERSITY IN MALAYSIA

2020 ◽  
Vol 17 (Number 1) ◽  
pp. 51-75
Author(s):  
Chee Leong Lim ◽  
Habibah Ab Jalil ◽  
Aini Marina Ma'rof ◽  
Wan Zuhainis Saad
Keyword(s):  
Online Learning ◽  
Structural Equation ◽  
Peer Learning ◽  
Sem Analysis ◽  
Online Questionnaire ◽  
Mediation Effects ◽  
Self Regulated Learning ◽  
Learning Satisfaction ◽  
Regulated Learning ◽  
The Relationship

Purpose – Students’ ability to self-regulate their learning and to learn effectively with peers are indicators of success in the era of the 4th Industrial Revolution. This study investigated whether peer learning helps to influence online learning satisfaction in the presence of self-regulated learning (SRL) as a mediating variable. Methodology - The study adopted a correlational research design to examine the possibility of relationships between these variables. The sample was selected based on proportional stratified sampling method. Of the 409 respondents, only 347 were valid for data analysis, forming a usable case of 84.84%. The instrument used was an online questionnaire adapted from pre-existing reliable multi-item instruments. Structural Equation Model (SEM) analysis was used to examine the relationship between the constructs in the hypothesised model, while Bootstrapping test was applied to examine the mediation effects of SRL. Findings - From the direct effect of the SEM analysis, students’ ability to learn with peers was found to have significantly influenced their SRL strategies, while SRL strategies were found to have a positive and statistically significant effect on online learning satisfaction. Moreover, the findings from the Bootstrapping test concurred that the influence of peer learning on online learning satisfaction was fully mediated by SRL. Significance - By understanding the mediator roles played by SRL, this study hopes to provide insights for universities and course instructors to make pedagogically informed design decisions by integrating appropriate SRL strategies in the development of blended learning courses.

scholarly journals Hubungan Regulasi Diri dalam Belajar dan Efikasi Diri dengan Prokrastinasi Akademik Mahasiswa

2018 ◽  
Vol 4 (2) ◽  
pp. 90
Author(s):  
Indah Sari Liza Lubis
Keyword(s):  
Self Efficacy ◽  
Quantitative Methods ◽  
Negative Relationship ◽  
Sampling Technique ◽  
Academic Procrastination ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Saturated Sample ◽  
Relationship Of ◽  
The Relationship

This study aims to determine: (1) the relationship between self regulated learning and student academic procrastination; (2) the relationship of self efficacy with student academic procrastination; (3) the relationship between self regulated learning and self efficacy with student academic procrastination. The hypothesis proposed is a negative relationship between self regulated learning and self efficacy with student academic procrastination, assuming the higher self regulated learning and self efficacy, the lower the student academic procrastination. Conversely, the lower the self regulated learning and self efficacy, the higher the student's academic procrastination. The number of samples is 61 people. The sampling technique uses saturated sample techniques. The data collection techniq uses questionnaire. The research method used is quantitative methods. The results of the study conclude that: (1) there is a negative relationship between self regulated learning and student academic procrastination; (2) there is a negative relationship between self efficacy and student academic procrastination; (3) there is a negative relationship between self regulated learning and self efficacy with student academic procrastination.

scholarly journals Hubungan Regulasi Diri dengan Prokrastinasi Akademik

2021 ◽  
Vol 1 (10) ◽  
pp. 861-866
Author(s):  
Sedyawati Sedyawati
Keyword(s):  
Data Analysis ◽  
Self Regulation ◽  
Cluster Sampling ◽  
Academic Procrastination ◽  
Self Regulated Learning ◽  
Bivariate Correlation ◽  
Analysis Technique ◽  
Regulated Learning ◽  
Class Viii ◽  
The Relationship

Abstract: Academic procrastination is a behavioral tendency to procrastinate tasks that occur in students. Factors that influence it include the lack of strategies in self-regulation or self-regulation (self-regulated learning). As one of the countries affected by the COVID-19 pandemic, Indonesia is implementing learning from home. In this condition, students are expected to have skills in managing themselves in learning during the learning process from home. This quantitative study examines the relationship between self-regulated learning and students' academic procrastination during the pandemic. The population of this research is the students of SMP Negeri 6 Malang, and the research sample uses random cluster sampling so that the number of students obtained is 168 consisting of class VII, class VIII, and class IX. The data collection uses a self-regulated learning scale and an academic procrastination scale on google forms distributed through online class Whatsapp groups. The data analysis technique used is a bivariate correlation to determine the relationship between the two variables. The data analysis results showed no significant relationship between self-regulated learning and students' academic procrastination. Abstrak: Prokrastinasi akademik merupakan kecenderungan perilaku menunda-nunda tugas yang terjadi pada siswa. Faktor yang mempengaruhi prokrastinasi akademik, antara lain kurangnya strategi pengaturan diri atau regulasi diri. Regulasi diri dibutuhkan siswa, terutama dalam kondisi kurang menguntungkan pada saat ini yaitu pandemi covid-19. Situasi saat ini menuntut siswa memiliki keterampilan mengatur diri yang baik agar terhindar dari kebiasaan menunda-nunda tugas. Tujuan penelitian ini untuk mengetahui hubungan antara regulasi diri dan prokrastinasi akademik selama pandemi covid-19. Populasi penelitian adalah siswa SMP Negeri 6 Malang, teknik pengambilan sampel menggunakan cluster random sampling dan diperoleh 167 siswa kelas VII, kelas VIII dan kelas IX. Pengumpulan data menggunakan skala regulasi diri dan skala prokrastinasi akademik. Teknik analisis data penelitian yaitu korelasi bivariat. Hasil analisis data menunjukkan bahwa tidak ada hubungan yang signifikan antara regulasi diri dengan prokrastinasi akademik siswa selama pandemi covid-19.

Sign in / Sign up

Export Citation Format

Share Document