The relationship between coach behavior and athlete self-regulated learning

Author(s):  
Jordan D Goffena ◽  
Thelma S Horn

The purpose of this study was to investigate the hypothesized link between athletes’ perception of coach behavior and their self-regulation of sport learning. Self-report questionnaires were administered to 140 Division-I National Collegiate Athletic Association athletes to assess aspects of coach control, autonomy support, and athlete self-regulated learning. From a person-centered approach, a cluster analysis resulted in the identification of three groups which exhibited contrasting profiles of coach behavior. Groupings consisted of athletes who were highly supported, moderately supported and controlled, and highly controlled. From a variable-centered approach, a canonical correlation analysis was performed followed by individual univariate analyses. The results offer both person-level and variable-level support for the relationship between coach behavior and self-regulated learning. Overall, a positive relationship between autonomy-supportive coaching and athlete self-regulation was found. Future directions for research and practical applications for coaching are discussed.

2013 ◽  
Vol 12 (3) ◽  
pp. 359-373
Author(s):  
Jared S. Anthony ◽  
Karen E. Clayton ◽  
Akane Zusho

The purpose of this study was to examine the relationship between qualitative and quantitative measures of self-regulatory learning strategies to further investigate issues related to the validity of self-report measures. One hundred and sixty high school girls completed both the Motivated Strategies for Learning Questionnaire (MSLQ) and an open-ended questionnaire, both of which were designed to assess students’ use of learning strategies in the domains of English and math. Open-ended responses were coded and analyzed with results indicating that most students use shallow-processing strategies when preparing for final exams. Regression analysis was also used to investigate the predictive ability of the MSLQ and the open-ended questionnaire with findings indicating both to have predictive qualities. Implications for self-regulation and the measurement of learning strategies will be discussed.


2021 ◽  
Vol 8 (1) ◽  
pp. 28-33
Author(s):  
Zelna Yuni Andryani.A ◽  
Nurfaizah Alza

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.


2020 ◽  
Vol 36 (4) ◽  
pp. 151-172
Author(s):  
Agnieszka Palalas ◽  
Norine Wark

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.


2013 ◽  
Vol 2013 ◽  
pp. 1-18 ◽  
Author(s):  
Timothy J. Cleary ◽  
Peter Platten

Four high school students received 11 weeks of a self-regulated learning (SRL) intervention, called the Self-Regulation Empowerment Program (SREP), to improve their classroom-based biology exam scores, SRL, and motivated behaviors. This mixed model case study examined the correspondence between shifts in students’ strategic, regulated behaviors with their performance on classroom-based biology tests. The authors used traditional SRL assessment tools in a pretest-posttest fashion (e.g., self-report questionnaires, teaching rating scales) and gathered SRL data during the intervention using field note observations and contextualized structured interviews. This multidimensional assessment approach was used to establish convergence among the assessment tools and to facilitate interpretation of trends in students’ biology test performance relative to their SRL processes. Key themes in this study included the following: (a) the close correspondence between changes in students SRL, biology exam performance, and SREP attendance; (b) individual variability in student performance, SRL behaviors, and beliefs in response to SREP; and (c) the importance of using a multi-dimensional assessment approach in SRL intervention research. Furthermore, this study provided additional support for the potential effectiveness of SREP in academic contexts.


Author(s):  
Sedyawati Sedyawati

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.


Author(s):  
Lucía Zapata ◽  
Jesús De la Fuente ◽  
José Manuel Martínez Vicente ◽  
Mª Carmen González Torres ◽  
Raquel Artuch

Abstract.Introduction. Self-regulation is an important variable in education and research, but in educational context self-regulated learning is the construct more studied. For this, there are a scarcity of studies that seek to establish relationships between personal self-regulation and other educational variables. We aim to delimit the relationships between personal self-regulation (Presage variable) and different process variables: approaches to learning, self-regulated learning and coping strategies, establishing the importance of these variables in future research in meta-cognition. Method. A total of 1101 students participated in the study (university and candidate students). The analyses made to meet the proposed objectives and test hypotheses were: Association analysis through Pearson bivariate correlations (Association objectives and hypotheses); linear regression analysis (Regression objectives and hypotheses); Cluster analysis, ANOVAS and MANOVAS, with Scheffé post hoc, and effect size estimates (Inferential objectives and hypotheses). Results. A significant associative relationship appeared between self-regulation and learning approaches and self-regulated learning; and negative correlation with emotion-focused coping strategies. The different levels of personal self-regulation (presage learning variable) determine of the type of learning approach and of coping strategies. Discussion and Conclusions. The importance of personal self-regulation that determines the degree of cognitive self-regulation during the process of university learning; the relationship between personal self-regulation and the type and quantity of coping strategies, and the relationship between self-regulated learning and coping.Palabras Clave: 3P Model, DEDEPRO Model, Personal Self-regulation, Coping strategies, Selfregulated learning.


CONVERTER ◽  
2021 ◽  
pp. 426-431
Author(s):  
Jisheng He, Ling He, Naizhu Huang, Jiaming Zhong, Linzi Qin

It is crucial for students to bear the ability of self-access for effective learning. Abilities of students’ self-access should be trained on basis of the connotation of self-access ability, with the start of training students’ self-direction, self-monitoring, self-regulation and self-accessment abilities. Ways and measurements of self-access training are to be made considering the relationship between knowledge, skills and abilities, and following the theoretical basis of students’ self-access ability training. Cognition guidance measures are best choice.


RELC Journal ◽  
2020 ◽  
pp. 003368822095778
Author(s):  
Kayatri A/P Vasu ◽  
Yong Mei Fung ◽  
Vahid Nimehchisalem ◽  
Sabariah Md Rashid

In the English as a second language (ESL) research context, teachers are committed to ensuring that students are aware of their writing skills and the kinds of errors they make in their writing. This explains why teacher feedback is frequently practised in the writing classrooms. Self-assessment is another supplementary strategy that provides opportunity for ESL students to take control of their learning. This study investigated the effects of self-assessment and indirect teacher feedback on self-regulated learning (SRL). A quasi-experimental design with an embedded experimental model was used in this research. Three intact classes were randomly assigned to experimental and control groups. This study utilised both quantitative and qualitative data. The quantitative data were obtained through the Self-Regulation Strategy Inventory Self-Report. The qualitative data were derived from the SRL microanalytic protocol. The findings revealed that both self-assessment and indirect teacher feedback helped learners become more self-regulated. However, self-assessment reduced maladaptive behaviours more than indirect teacher feedback. This study concludes that self-assessment is an effective instructional practice that promotes SRL in terms of goal setting, strategy planning, strategy use, attribution and adaptive behaviour. It is recommended that self-assessment be part of an instructional practice rather than an alternative strategy in the writing class.


2013 ◽  
Vol 23 (1) ◽  
Author(s):  
Dawn Buzza ◽  
Trina Allinotte

Self-regulated learners manage their thoughts, emotions, and behaviours, and their social and contextual environments to reach their learning goals. Research shows that student teachers can learn to teach in ways that promote students’ development of SRL. It has also been shown that there is a relationship between teachers’ own SRL and their ability to develop self-regulation in students. This study examined student teachers’ developing concepts of SRL as they learned about this complex set of skills, behaviours, and beliefs through both coursework and field observations. This paper investigates the relationship between self-reported SRL of these teachers and their understanding of SRL behaviours and SRL-supportive teaching practices. Participants’ self-reported learning strategy scores predicted their performance on an SRLclassroom observation assignment while motivation scores were unrelated. These results contribute to our growing knowledge of how to support student teachers in their learning of teaching strategies that support the development of SRL.


2020 ◽  
Vol 26 (2) ◽  
pp. 185-197
Author(s):  
Ju Young Park ◽  
Chung Hee Woo

Purpose: The purpose of this study was to investigate the mediating effect of self-regulated learning ability on the relationship between experiencing a good class and problem solving ability in nursing college students.Methods: A structured self-report questionnaire was used to measure experiencing a good class, self-regulated learning ability, and problem solving ability. During June, 2019, data were collected from 130 nursing students in D city. Data were analyzed using t-test, One-way ANOVA, Pearson’s correlation coefficients, and hierarchical multiple linear regression with SPSS/WIN 23.0.Results: Importance of good class (r=.50, p<.001), satisfaction of good class (r=.42, p<.001), and self-regulated learning ability (r=.71, p<.001) were positively correlated with the problem solving ability of participants. Also, self-regulated learning ability had a partial mediating effect on the relationship between experiencing a good class and problem solving ability.Conclusion: Considering the findings of this study, developing programs that can improve the self-regulated learning ability of nursing students who experience a good class are needed to increase their level of problem solving ability.


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