Academic literature on the topic 'Self-regulated learning theory'

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Journal articles on the topic "Self-regulated learning theory"

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Shin, Min Hee. "Self-Regulated Learning Thoery: Meaning Components and Design Principles." Journal of Educational Technology 14, no. 1 (June 29, 1998): 143–56. http://dx.doi.org/10.17232/kset.14.1.143.

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Martin, Jack. "Self-Regulated Learning, Social Cognitive Theory, and Agency." Educational Psychologist 39, no. 2 (June 2004): 135–45. http://dx.doi.org/10.1207/s15326985ep3902_4.

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Saragih, Fernando. "ENVIRONMENT EFFECT IN SELF-REGULATED LEARNING." Jurnal Pendidikan PKN (Pancasila dan Kewarganegaraan) 1, no. 2 (November 2, 2020): 62. http://dx.doi.org/10.26418/jppkn.v1i2.40875.

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This study aims at finding and analyzing the influence of parenting style and peer group toward the self regulated learning. These goals are considerably based on the lack of student learning independence occurred during the learning process at school. The theory used in this research is the social cognitive of self regulation. This theory explains that the learning independence is formed by individual, behavior, and the environment. This is a quantitative research using an explanatory survey method with the questionnaires as the technique of data collection. They consisted of 32 statements which had been evaluated and were valid and reliable to be tested on the respondents. The simple random sampling was applied in order to choose 120 high school students in Purwakarta. All the data were then analyzed by applying the multiple regressions using SPSS. The result of this research shows that there is a positive and a significant effect between the parenting parents and peer group toward the student learning independence. Therefore, parents should adjust the parenting model to the children’s condition as well as implement the values and the basic principles in addition, the role of peer groups is also needed to develop basic values and provide motivation to become more independent figures.Keywords: self regulated learning, Character building, parenting style, peer group, social interactions
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Strachan, S. R. "From educational theory to clinical practice: self-regulated learning." British Journal of Anaesthesia 115, no. 1 (July 2015): 7–10. http://dx.doi.org/10.1093/bja/aev030.

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Collins, Nancy. "Motivation and Self-Regulated Learning: Theory, Research, and Applications." Journal of Higher Education 80, no. 4 (July 2009): 476–79. http://dx.doi.org/10.1080/00221546.2009.11779027.

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Taranto, Daniella, and Michael T. Buchanan. "Sustaining Lifelong Learning: A Self-Regulated Learning (SRL) Approach." Discourse and Communication for Sustainable Education 11, no. 1 (June 1, 2020): 5–15. http://dx.doi.org/10.2478/dcse-2020-0002.

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AbstractSustainable education requires teaching practices and techniques that secure strong foundations in learning. The changing contexts, needs and trends of the 21st century challenge teachers to enable students to obtain the skills and knowledge necessary to succeed in an ever changing and digital world (Coklar & Yurdakul, 2017). Schools’ philosophy and curriculum must encourage students to develop adaptive skills that are foundational to lifelong learning to sustain them in changing environments (De Corte, 2019). However, students’ achievement has been drastically compromised throughout the Organisation for Economic Co-operation and Development (OECD) countries. Furthermore, some countries, such as Australia, are facing a concerning decline in academic achievement in science, reading, and mathematics (PISA, 2018). The purpose of this conceptual paper is to explore Self-Regulated Learning (SRL) theory for its potential to enhance students’ sustainable abilities enabling them to engage in lifelong learning. An exploration of SRL theory posits the need for empirical research of effective SRL implementation in schools. The theoretical foundations of SRL are outlined, along with its impact on students’ learning and development in the 21st century. This article explores elements of SRL implementation that support educational bodies in fostering competent learners and sustainable education, including pre-service teachers’ training, teachers’ self-efficacy, a whole-school approach to SRL, and ongoing professional development in SRL.
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Erlich, Richard J., and Darlene F. Russ-Eft. "Assessing Student Learning in Academic Advising Using Social Cognitive Theory." NACADA Journal 33, no. 1 (June 1, 2013): 16–33. http://dx.doi.org/10.12930/nacada-13-135.

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We investigated whether the social cognitive theory constructs of self-efficacy and self-regulated learning apply to academic advising for measuring student learning outcomes. Community college students (N = 120) participated in an individual academic-advising session. We assessed students' post-intervention self-efficacy in academic planning and their retrospective pre-intervention self-efficacy as well as pre and post self-regulated learning-strategy levels in academic planning. We used 2 hypotheses to verify that students experienced increased levels of self-efficacy and self-regulated learning through academic planning strategies. The 3rd hypothesis verified a positive, reciprocal relationship between self-efficacy and self-regulated learning in academic planning. We discuss results regarding the theoretical usefulness for applying social cognitive theory to assess student learning outcomes in academic advising.
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Ariani, Dorothea Wahyu. "Relationship Model among Learning Environment, Learning Motivation, and Self-Regulated Learning." Asian Social Science 13, no. 9 (August 24, 2017): 63. http://dx.doi.org/10.5539/ass.v13n9p63.

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This study applies social capital theory, motivation theory, and systems theories to examine the role of the learning environment and motivation in learning to encourage self-regulation in learning especially effort regulation. This study examines the relationship among learning environment (i.e., student cohesiveness, teacher support, involvement, investigation, task orientation, cooperation, and equity), learning motivation (i.e., learning goal orientation, task value, and self-efficacy), and self-regulated learning in effort regulation. This study also examines the mediating role of learning motivation on relation between learning environment and self-regulation in learning effort. Respondents were 307 students of undergraduate program on business, management, and economics in Yogyakarta and Bandung, Indonesia. Self-report questionnaires were administered to respondents during their regular class periods. Results revealed that students’ perception of learning environment on all dimensions were significantly related to learning motivation and self-regulation in effort regulation. Students’ perception of learning environment especially task orientation dimension was significantly influenced on three dimensions of learning motivation. The result of this study also indicated that learning goal orientation and self-efficacy are the mediating variables in the relationship model. These results supported many of the hypothesized relationships. Further explanations are discussed regarding both the expected and unexpected outcomes.
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Hardy, Jay H., Eric Anthony Day, and Logan M. Steele. "Interrelationships Among Self-Regulated Learning Processes: Toward a Dynamic Process-Based Model of Self-Regulated Learning." Journal of Management 45, no. 8 (June 20, 2018): 3146–77. http://dx.doi.org/10.1177/0149206318780440.

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Self-regulation and learning are fundamentally dynamic phenomena that occur at the within-person level and unfold over time. However, the majority of the extant empirical research on self-regulated learning has been conducted at the between-person level, which can obscure the true nature of interrelationships among self-regulatory mechanisms. In the present study, we seek to advance a more nuanced view of the role of self-regulation in modern training and development by presenting a novel theoretical perspective that integrates cognitive, motivational, and behavioral mechanisms central to the literature on active learning with the more dynamic theoretical principles and mechanisms underlying stage-based cognitive models of skill acquisition. Hypotheses derived from this model were tested in a laboratory study with 305 participants who practiced a dynamic computer game involving strong cognitive and perceptual-motor demands. Bivariate cross-lagged latent growth models generally supported the proposed model, revealing systematic trends over the course of practice consistent with a series of iterative, bidirectional, and self-correcting reciprocal interrelationships among self-efficacy, metacognition, exploratory behavior, and practice performance. Collectively, these findings suggest that strong positive interrelationships among self-regulated learning variables at the between-person level may, in some cases, actually belie the true nature of their functional effects. Implications for theory and practice are discussed.
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Suartama, I. Kadek, Punaji Setyosari, Sulthoni Sulthoni, Saida Ulfa, Muhammad Yunus, and Komang Anik Sugiani. "Ubiquitous Learning vs. Electronic Learning: A Comparative Study on Learning Activeness and Learning Achievement of Students with Different Self-Regulated Learning." International Journal of Emerging Technologies in Learning (iJET) 16, no. 03 (February 12, 2021): 36. http://dx.doi.org/10.3991/ijet.v16i03.14953.

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This research examines the effect of ubiquitous learning strategies using various self regulated learning on learning activeness and learning achievement of student in higher education. Quasi-experimental pretest-post tests non-equivalent control group design is selected to be the method of this research. The subjects of this research are 113 students. The instrument used to measure the students’ learning activeness is learning activeness questionnaires developed by researcher with reference to the theory of learning activeness by Sardiman, whereas objective test are to evaluate students’ learning achievement, and online self regulated learning questionnaire (OSLQ) as adapted from Barnard is utilized to measure the self regulated learning of the research subjects. The data is then analyzed through two-way MANOVA technique. The findings of the research conclude that: (1) there are significant differences in learning activeness and learning achievement between groups which learned using ubiquitous learning strategies and electronic learning strategies; (2) there are significant differences in learning activeness and learning achievement between students when integrated with high self regulated learning and low self regulated learning; (3) there is an interaction between ubiquitous learning and electronic learning strategies integrated with self regulated learning on learning activeness and learning achievement of students.
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Dissertations / Theses on the topic "Self-regulated learning theory"

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Jones, Aidan. "Adaptive robotic tutors for scaffolding self-regulated learning." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8247/.

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This thesis explores how to utilise social robotic tutors to tackle the problem of providing children with enough personalised scaffolding to develop Self-Regulated Learning (SRL) skills. SRL is an important 21st century skill and correlates with measures of academic performance. The dynamics of social interactions when human tutors are scaffolding SRL are modelled, a computational model for how these strategies can be personalised to the learner is developed, and a framework for long-term SRL guidance from an autonomous social robotic tutor is created. To support the scaffolding of SRL skills the robot uses an Open Learner Model (OLM) visualisation to highlight the developing skills or gaps in learners' knowledge. An OLM shows the learner's competency or skill level on a screen to help the learner reflect on their performance. The robot also supports the development of meta-cognitive planning or forethought by summarising the OLM content and giving feedback on learners' SRL skills. Both short and longer-term studies are presented, which show the benefits of fully autonomous adaptive robotic tutors for scaffolding SRL skills. These benefits include the learners reflecting more on their developing competencies and skills, greater adoption SRL processes, and increased learning gain.
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Almahasneh, Randa. "The effects of beliefs about knowledge and learning on students' self-regulated studying /." Burnaby B.C. : Simon Fraser University, 2006. http://ir.lib.sfu.ca/handle/1892/2800.

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Goffena, Jordan D. "The relationship between coaches' leadership behavior and athletes' self-regulated learning." Miami University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=miami1438769391.

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Onah, Daniel F. O. "Investigating self-regulated learning in massive open online courses : a design science research approach." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/91704/.

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Massive open online courses (MOOCs) have received wide publicity and many institutions have invested considerable effort in developing, promoting and delivering such courses. However, there are still many unresolved questions relating to MOOCs and their effectiveness. One of the major recurring issues raised in both academic literature and the popular press is the consistently high dropout rate of MOOC learners. Despite the impressive levels of enrolment MOOCs attract, many participants do not complete these courses resulting in completion rates of below 15% for most MOOCs. Although there are many reasons for attrition, a lack of understanding of how diverse learners can be supported to study effectively within this format has been identified as an important contributing issue. The current research addresses two factors which relate to how MOOC participants learn and their ability to make effective progress. Firstly, MOOCs require a high degree of self-regulated learning (SRL) skills but most do not appear to offer adequate support for the development of such skills. To determine the implications of this and develop appropriate support strategies it is necessary to understand more about the concept of SRL in the context of MOOCs and MOOC participants. Related to the issue of self-regulation is the inflexibility and passivity of many current MOOC formats, preventing individuals from setting their own learning objectives and directing their own learning. MOOCs have so far been used mainly to provide stand-alone distance learning opportunities for independent learners. However, there is an increasing focus on their benefits when incorporated into a blended-learning approach. This study investigates the issues of self-regulation and learner autonomy within MOOCs. To better understand the contextual differences between the two very different learning modes, the research considers two separate MOOC applications: one stand-alone, the other blended. Both qualitative and quantitative data collection methods were used to explore learners' SRL skills, autonomous choices and ways of working. An existing conceptualisation of SRL incorporating six separate contributing dimensions was adopted as the theoretical framework for the investigation. Overall, a design science methodology was adopted. Central to this was the development of a novel MOOC platform (eLDa) which was designed to support learners' individual choices relating to goal-setting and the selection of learning path. Elements of established good-practice for MOOC platforms were incorporated into the design together with additional functionality to support the novel features of optional self-direction. In order to study the two contexts noted above, two separate courses were implemented and delivered using this platform. The first was an open online course for independent learners regardless of location; the second was incorporated as part of a blended-learning approach within a traditional campus university module. Data gathered from these courses provide insights into learners' self-regulation within the two contexts individually and also allow a comparative analysis of the different dimensions of SRL between differing teaching modalities. Qualitative data from students also contribute to an understanding of their experience of MOOC study and of how they regulate their learning in practice. The first major contribution of this work is an architecture for and the development of a novel MOOC platform which can be used to provide the necessary functionalities to a greater degree of supporting learners' self-direction. Analysis of the data obtained from the two case studies shows different patterns of SRL. The online course results indicate that there is a high demand for more flexible, self-directed learning but that MOOC learners exhibit deficiencies in specific SRL dimensions. Help seeking and deploying task strategies were indicated as being problematic for the fully online learners. Participants in the blended-learning course generally had lower scores on time management and self-evaluation. Although there were considerable differences between individual students, even learners with a strong formal educational background and an existing track-record of successful learning mostly did not obtain high SRL scores. A high level of social interaction and support-seeking from peers was reported, indicating the increasing importance of social online learning even within a campus university. Analysis of the qualitative data reveals study practices which are obviously highly effective for the learners who employ them but which do not necessarily fall within existing conceptualisations of SRL. This study demonstrates that the novel approach taken to supporting self-direction within MOOCs is one which users evaluate as being both desirable and useful. Further, it points to areas of SRL for which MOOCs should in general develop better support, while at the same time indicating strategies for SRL which are not accommodated within current definitions. This work lends support to the view that SRL is highly context-dependent and suggests that further investigation is needed to capture more appropriate conceptualisations of SRL for online and blended-learning with MOOCs.
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Renwick, James Michael English Media &amp Performing Arts Faculty of Arts &amp Social Sciences UNSW. "Because I love playing my instrument : Young musicians' internalised motivation and self-regulated practising behaviour." Publisher:University of New South Wales. English, Media, & Performing Arts, 2008. http://handle.unsw.edu.au/1959.4/40823.

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Self-regulated learning theory explains how it is not only the amount of time musicians spend practising that affects achievement, but also the nature of the strategies employed. Because practice is self-directed, motivational effects on its efficiency are especially salient. One construct that has received little attention in relation to practising is self-determination theory, which interprets motivation as lying along a continuum of perceived autonomy. This mixed-methods study investigated links between motivational beliefs and self-regulated practising behaviour through a two-phase design. In Phase One, 677 music examination candidates aged 8-19 completed a questionnaire consisting of items addressing practising behaviour and perceived musical competence; in addition, the Self-Regulation Questionnaire (SRQ; Ryan & Connell, 1989) was adapted to explore intrinsic-extrinsic motives for learning an instrument. Factor analysis of the SRQ revealed five dimensions with partial correspondence to earlier research: internal, external, social, shame-related, and exam-related motives. Three practice behaviour factors consistent with self-regulated learning theory emerged: effort management, monitoring, and strategy use. Results of structural equation modelling showed that internal motivation accounted best for variance in these three types of practising behaviour, with a small added effect from competence beliefs and exam-related motivation. Phase Two consisted of observational case studies of four of the questionnaire participants preparing for their subsequent annual examination. Adolescent, intermediate-level musicians were recorded while practising at home; immediately afterwards, they watched the videotape and verbalised any recollected thoughts. The procedure concluded with a semi-structured interview and debriefing. The videotapes were analysed with The Observer Video-Pro and combined with verbal data; emerging themes were then compared with issues arising from the interviews. The observational aspect of the case studies largely confirmed the importance of three cyclical self-regulatory processes emerging from Phase One: (a) effort management and motivational self-regulation, (b) the role of self-monitoring of accuracy, and (c) the use of corrective strategies, such as structured repetition, task simplification, and vocalisation. The mixture of quantitative and qualitative methods used in the study has uncovered a rich body of information that begins to clarify the complex motivational and behavioural nature of young people practising a musical instrument.
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Calvin, Jennifer. "Explaining learner satisfaction with perceived knowledge gained in web-based courses through course structure and learner autonomy." The Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1117203568.

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Merrick, Bradley Maxwell School of Music &amp Music Education UNSW. "The relationship between self-efficacy and self-regulated behaviour within a secondary school music technology based creative learning environment." Awarded by:University of New South Wales. School of Music and Music Education, 2006. http://handle.unsw.edu.au/1959.4/25768.

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This study employed the theoretical framework of Albert Bandura???s social cognitive theory, to investigate how differing levels of self-efficacy impact on both the type and degree of self-regulatory behaviour employed by the students when composing music in a high school music program. The literature review revealed an abundance of related research suggesting a strong relationship between self-efficacy and self-regulated behaviour in the ???core??? academic domains of education. In contrast, there was no specific research found that had examined self-efficacy and self-regulation in the context of students composing music. An independent school in Sydney served as the research site, with sixty-eight students of varied year levels and musical experience participating in the study. Students used stand alone computers, the software ???Cubase??? and MIDI keyboards as they completed a task that involved creating an original piece of music in a genre of their own choice, over a series of four composition sessions. A mixed methodology was employed to determine if the influence of the students??? self-efficacy beliefs upon their self-regulation in a creative activity were consistent with existing research. Data were collected using a mixture of weekly measures and self-report scales, combined with a variety of questionnaires, logs, tally sheets and interviews. Eight variables, including the self-regulatory sub-processes of goal setting-strategic planning, intrinsic motivation, goal orientation, task expectation, time on task, task completion, monitoring were analysed together with an additional variable, defined as creative ability, to determine if evidence could be found of a relationship between self-efficacy and these specific behaviours while composing. The results suggest that the pre-task (Week 1) measure of self-efficacy was closely associated with the students??? use of the eight self-regulatory dimensions as well as their perceived level of creative ability. Weekly self-efficacy measures also suggested that students??? employ self-regulated sub-processes proportionally to their respective levels of self-efficacy. Importantly, the more efficacious students employed a wider and more sophisticated repertoire of self-regulated behaviour when composing in contrast to the less efficacious students. Self-efficacy was also identified as a key factor amongst students who were initially identified as being naive self-regulators, but who through the duration of the task, modified their behaviour to become more skilful self-regulators. Throughout the study, the consistent level of interaction between self-efficacy and the use of self-regulated behaviours were aligned with findings in the core ???academic??? disciplines of education.
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Sullivan, Gregory S. "The effects of a coaching education workshop on the self-regulated motivation of 6th grade male and female basketball players." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1116875842.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xi, 292 p.; also includes graphics (some col.) Includes bibliographical references (p. 273-292). Available online via OhioLINK's ETD Center
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Lee, Stella. "Design of a learner-directed e-learning model." Thesis, University of Hertfordshire, 2014. http://hdl.handle.net/2299/13894.

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How can one create online educational material that support and motivate students in guiding their own learning and make meaningful instructional decisions? One of the main focuses on designing e-learning is about creating an environment where learners can actively assume control and take responsibility for their own learning with little or no guidance from the tutors. This research aims to discover a new way to design learning that would cater to individual choices and preferences. The idea goes beyond learner-centred design; it is about learner control and direction. As an option, learners should be able to choose to be in the driver’s seat, to direct their own learning journey. As a starting point, this research explores the use of two educational theories - Experiential Learning Theory (ELT) and Self-Regulated Learning (SRL) theory as the underpinning instructional design for a Learner-Directed Model to support students’ online learning in both domain knowledge and meta knowledge in the subject of computer programming. One unit material from an online Introduction to Java Programming course has been redesigned based on the proposed Learner-Directed Model for the experimental design study. The study involved a total of 35 participants divided randomly into one Experimental Group and one Control Group. They were assigned to either a Learner-Directed Model (Experimental Group) or a linear model (Control Group). Pre/post tests, survey, follow-up interview as well as log file analysis were instruments used for assessing students’ domain knowledge, meta knowledge and their attitudes for their overall learning experience. Learning experience is further broken down into perceived ease of use and user satisfaction; system usability; learner experience; and perceived controllability. The results of the study have revealed that there is statistically significant difference between the survey results for the Experimental Group and the Control Group. The Experimental Group reported a higher level of overall learning experience and better attitudes in general. However, there was no statistically significant difference existing between the two groups on the domain and meta level knowledge improvement. Based on these results, I have proposed further research directions and put forward a number of recommendations and suggestions on learner-directed e-learning design.
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Allbrink, Sofie, and Rebecka Sundin. "INDIVIDUELLA IDROTTARES FÖRUTSÄTTNINGAR FÖR SJÄLVREGLERAT LÄRANDE." Thesis, Umeå universitet, Institutionen för psykologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-183873.

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Självreglerat lärande (SRL) har visat sig vara en användbar strategi för både idrottslig inlärning och utveckling. Vilka miljömässiga förutsättningar idrottaren ges kan både främja och hämma denna utveckling, vilket få studier undersökt i en idrottslig kontext. Studiens syfte var därav att undersöka grad av SRL inom individuell idrott utifrån self-efficacy, könsidentitet och miljömässiga förutsättningar. Miljömässiga förutsättningar innefattade ledarskapsbeteenden som främjar både motivation, enligt Self-determination theory (SDT), och självreglerat lärande. Urvalet bestod av individuella idrottare, 16–60 år, som har en tränare (N = 251). Dessa tävlade inom 28 olika individuella idrotter och identifierade sig som kvinnor (n = 144), män (n = 106) och annat (n = 1). Frågeställningarna besvarades med hjälp av självskattningsformulären Self-Regulated Learning in Sport Practice (SRL-SP), Self-Regulated Environment (SRE) och Interpersonal Supportiveness Scale - Coach (ISS-C). Resultat från multipla och hierarkiska regressionsanalyser indikerade att self-efficacy hade ett positivt samband med utfallsmåtten planering, övervakning och reflektion, men inte ansträngning. Könsidentitet verkade inte moderera denna effekt. Vad gäller miljömässiga förutsättningar bidrog främst tränares förmåga att skapa möjligheter för SRL till idrottares självreglering. Samtidigt visades att idrottarnas grad av SRL påverkades av tränarens närvaro; ju mer närvarande tränare desto lägre grad av självregleringsstrategier uppvisar idrottarna. Slutsatsen blir därmed att idrottare verkar behöva ha en tilltro till sin förmåga samt befinna sig i en miljö med möjligheter för SRL, för att engagera sig i sin idrottsliga utveckling på ett fördelaktigt sätt. Detta samband verkar även påverkas av tränarens fysiska närvaro. Framtida studier kan med fördel vidare undersöka påverkan av de miljömässiga förutsättningarna på grad av SRL, samt om det skiljer sig åt beroende på idrott.
Self-Regulated Learning (SRL) has proven to be a useful strategy for athletes' learning and development. What conditions are given to athletes from their surrounding environment can both promote and inhibit these processes of learning and development. However, few studies have examined this relationship in a sports context. Thus, the present study aimed to investigate Self-Regulated Learning in individual sports based on self-efficacy, gender and environmental conditions. The environmental conditions were defined as leadership behaviors that promote motivation, according to Self-Determination Theory (SDT), and Self-Regulated Learning. The sample consisted of individual athletes, ranging from 16-60 years, with a coach (N = 251). The athletes competed in 28 different individual sports and identified themselves as women (n = 144), men (n = 106) and other (n = 1). The participants answered the self-report questionnaires Self-Regulated Learning in Sport Practice (SRL-SP), Self-Regulated Environment (SRE) and Interpersonal Supportiveness Scale - Coach (ISS-C). Using multiple and hierarchical regression analyses, this study provided support that self-efficacy positively influenced the outcome measures planning, monitoring, and reflection, but not effort. Gender did not appear to moderate this relationship. The environmental conditions associated with SRL was mainly the coaches' ability to create opportunities for SRL. Additionally, athletes' SRL were negatively influenced by how often the coach was present. The conclusion is that athletes, to beneficially engage in their own development, need to have a belief in their own ability and also be in an environment that enhances opportunities for SRL. However, this relationship is influenced by the coach's presence at practice. Future studies can further examine the relationship between the environmental conditions and SRL, and if the results may differ depending on sport.
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Books on the topic "Self-regulated learning theory"

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Boor, Ilja, Debby Gerritsen, Linda Greef, and Jessica Rodermans. Meaningful Assessment in Interdisciplinary Education. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463729048.

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Today’s university lecturers are faced with the challenge of educating students to see beyond the limits of their own discipline and to come up with innovative solutions to societal challenges. Many lecturers would like to put more emphasis on teaching students how to integrate diverse forms of knowledge, work together in teams, critically reflect and become self-regulated learners. These lecturers are breaking down the silos of scientific disciplines as well as the barriers between academia and society and responding to the changing role of universities in society. Just as teaching and learning are ready for change, so is assessment. In this book, we call for an assessment strategy with a greater emphasis on assessment for and assessment as learning, with a focus on giving powerful feedback and the use of authentic assessment tasks as well as alignment with the intended learning outcomes and your pedagogical beliefs. If you are looking for ways to assess integration, collaboration, reflection, and critical thinking rather than only assessing the acquisition of knowledge, the examples in this handbook are inspiring initiatives that can point you to new directions in assessment.
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H, Schunk Dale, and Zimmerman Barry J, eds. Motivation and self-regulated learning: Theory, research, and applications. New York: Lawrence Erlbaum Associates, 2008.

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Motivation and self-regulated learning: (re) theory, research, and applications. New York: Lawrence Erlbaum Associates, 2007.

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(Editor), Dale H. Schunk, and Barry J. Zimmerman (Editor), eds. Motivation and Self-Regulated Learning: (Re) Theory, Research, and Applications. Lawrence Erlbaum, 2007.

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(Editor), Dale H. Schunk, and Barry J. Zimmerman (Editor), eds. Motivation and Self-Regulated Learning: (Re) Theory, Research, and Applications. Lawrence Erlbaum, 2007.

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J, Zimmerman Barry, and Schunk Dale H, eds. Self-regulated learning and academic achievement: Theory, research, and practice. New York: Springer-Verlag, 1989.

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Zimmerman, Barry J. Self-Regulated Learning and Academic Achievement: Theory, Research, and Practice. Springer, 2011.

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Zimmerman, Barry J. Self-Regulated Learning and Academic Achievement: Theory, Research, and Practice (Springer Series in Cognitive Development). Springer-Verlag, 1989.

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Williamon, Aaron, Terry Clark, and Mats Küssner. Learning in the spotlight. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199346677.003.0014.

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The skills needed to perform music well and to communicate effectively as a performer are truly multifaceted. Increasingly, new methods and technologies are enabling a better understanding of how musicians perform and some of the reasons great performances are so compelling. Yet, optimizing performance skills can still be an elusive task for musicians. Implicit in this is the need for performers to attain a high level of self-awareness regarding their skills and behaviours, appropriate development of those skills and behaviours, and effective implementation of them within high-stress performance situations. This chapter provides an overview of self-regulated learning and examines its relevance to enhancing musical performance. To assist musicians in applying self-regulatory processes to their own assessment, development and review of performance skills, the authors introduce an approach widely used in sport—performance profiling—as a means of facilitating effective ‘self-regulated performing’.
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Lanehart, Sonja L. How Is HEL Relevant to Me? Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190611040.003.0005.

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This chapter discusses teaching the History of the English Language (HEL) as a sociolinguist and being guided by three areas in learning sciences: goals, self-regulated learning, and interest, particularly social and personal. Specifically, this chapter addresses the age-old student question, “How is this relevant to me?” Part of our job as college teachers involves getting students to realize the practicality of a course for their needs (e.g., “I need to take this class in order to graduate”), and another part is to acknowledge (or awaken in some cases) their intellectual curiosity (e.g., “I’ve always wondered why “knight” is spelled with letters that aren’t even pronounced”). This chapter provides examples of instruction and assignments that correspond to research literature on goals and interest with respect to teaching and self-regulated learning more broadly and teaching HEL from the perspective of a sociolinguist more specifically.
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Book chapters on the topic "Self-regulated learning theory"

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Irvine, Susan, and Ian J. Irvine. "Self-Regulated Learning: Focus on Theory." In Clinical Education for the Health Professions, 1–18. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-6106-7_34-1.

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Schunk, Dale H. "Social Cognitive Theory and Self-Regulated Learning." In Self-Regulated Learning and Academic Achievement, 83–110. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3618-4_4.

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Mace, F. Charles, Phillip J. Belfiore, and Michael C. Shea. "Operant Theory and Research on Self-Regulation." In Self-Regulated Learning and Academic Achievement, 27–50. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3618-4_2.

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Winne, Philip H. "Learning Strategies, Study Skills, and Self-Regulated Learning in Postsecondary Education." In Higher Education: Handbook of Theory and Research, 377–403. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5836-0_8.

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Pintrich, Paul R., and Akane Zusho. "Student Motivation and Self-Regulated Learning in the College Classroom." In Higher Education: Handbook of Theory and Research, 55–128. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0245-5_2.

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Stebner, Ferdinand, Corinna Schuster, Theresa Dicke, Yves Karlen, Joachim Wirth, and Detlev Leutner. "The effects of self-regulation training on self-regulated learning competencies and cognitive load." In Advances in Cognitive Load Theory, 194–208. Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429283895-16.

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Leppink, Jimmie, Fred Paas, Tamara van Gog, and Jeroen J. G. van Merriënboer. "How to measure effects of self-regulated learning with checklists on the acquisition of task selection skills." In Advances in Cognitive Load Theory, 66–79. Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429283895-6.

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"Studying as Self-Regulated Learning." In Metacognition in Educational Theory and Practice, 291–318. Routledge, 1998. http://dx.doi.org/10.4324/9781410602350-19.

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Winne, P. H., and A. F. Hadwin. "Self-Regulated Learning and Socio-Cognitive Theory." In International Encyclopedia of Education, 503–8. Elsevier, 2010. http://dx.doi.org/10.1016/b978-0-08-044894-7.00470-x.

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"The Effects of Self-Regulated Problem-Solving Instruction on the Self-Determination of Secondary Students With Disabilities." In Self-determined Learning Theory, 184–99. Routledge, 2002. http://dx.doi.org/10.4324/9781410606235-20.

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Conference papers on the topic "Self-regulated learning theory"

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Sibarani, Roza Marsaulina, and Yohana F. Cahya Palupi Meilani. "Grit, Self-Regulated Learning, Self-Determination Theory and Academic Performance of Generation-Z." In The 2nd International Conference on Inclusive Business in the Changing World. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0008426900050012.

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Zhang, Penggang, Qian Zhang, and Jianglai Dai. "Comparative Study on College Students' Learning Expectation and Learning Habits Based on Theory of Zimmerman's Self-regulated Learning." In Proceedings of the 3rd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/iccese-19.2019.223.

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Yokoyama, Kyoichi, Tadashi Misono, Rieko Inaba, and Yuki Watanabe. "DEVELOPING NOTETAKING SUPPORT SYSTEM FOR SELF-REGULATED LEARNING SKILLS IN MATHEMATICS CLASS -SUPPORT OF BEHAVIORAL ECONOMICS THEORY-." In 14th International Technology, Education and Development Conference. IATED, 2020. http://dx.doi.org/10.21125/inted.2020.1308.

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Wei, Xiaozhuo, Yunpeng Li, Wenjun Shao, and Xing Dong. "Research on Self-Regulated Learning by Using Network Learning Space for Cross-Disciplinary MPAcc Postgraduate Freshmen Based on HeXie Management Theory." In 6th International Conference on Humanities and Social Science Research (ICHSSR 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200428.031.

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KASPERIŪNIENĖ, Judita, and Sigitas DAUKILAS. "RECEIVING THROUGH GIVING: SCIENTIFIC MEMOS OF WEB BASED LEARNING." In Rural Development 2015. Aleksandras Stulginskis University, 2015. http://dx.doi.org/10.15544/rd.2015.104.

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In this article the author has offered constructivist grounded theory scientific memos of professors and their students self-regulated learning in social networks. Memos were written following posthuman philosophical tradition seeking to clarify the processes emerging when human web residents having meaningful and valuable real-world experiences navigated in virtual settings. One-to-one semi-structured interviews were conducted with 5 professors and instructors and 12 their students from four different universities in two main Lithuanian towns. The grounded theory data still lack saturation and at this stage the substantive grounded theory named Receiving through giving showed the complicated process of collective sharing. Empirical data indicated the vibratory flow of sharing: the respondents demand to receive from the experts and withdrawal while presenting personal knowledge and skills. The oscillation of motivation for sharing depended on the strength of net activities. The differences in sharing nature were observed: professors and instructors protected their data and purposively managed the networked time, while students expressed openness and knowledge grab from various channels with low selection. The author treated social network as a thing controlled by the respondents and as a companion species influencing its occupier’s goals and desires, raising the questions about the researcher’s role either as an observer or active participant of the net processes.
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Ainscough, Louise, Richard Leung, Kay Colthorpe, and Tracey Langfield. "Characterizing university students’ self-regulated learning behavior using dispositional learning analytics." In Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9153.

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Learning analytics can be used in conjunction with learner dispositions to identify at-risk students and provide personalized guidance on how to improve. Participants in the current study were students (n=192) studying a first year anatomy and physiology course. A two-step cluster analysis was performed using learning analytics data from the learning management system and self-regulated learning behavior from meta-learning assessment tasks. Three clusters of students were identified – high, medium and low self-regulated learners. High self-regulated learners were engaged with the meta-learning tasks, reported the most self-regulated learning strategies and used new strategies during semester. They also had the highest academic achievement. Compared to low self-regulated leaners, medium self-regulated learners were more engaged in the meta-learning tasks and used more learning strategies during semester, including new strategies; however, both medium and low self-regulated learners had similar levels of academic achievement. It is possible that the medium self-regulated learners represent students who were attempting to improve their learning, but had not yet found strategies that were right for them. Future evaluation of academic performance may determine whether the attempts to improve learning by medium self-regulated learners distinguishes them from low self-regulated learners in the later years of their study.
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Shih, Hui-Ru, Wei Zheng, Evelyn J. Leggette, and Gordon Skelton. "Enhancing Student Performance by Promoting Self-Regulated Learning." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62446.

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Self-regulated Learning (SRL) focuses on the use of self-evaluation and self-motivation to aid the student in developing the correct habits, techniques, and tools necessary for success in a learning environment. With self-regulated learning, students can evaluate their study and learning strategies. Training programs that promote self-regulated learning have been found to be beneficial for students’ learning. SRL is currently viewed as a vital prerequisite for the successful acquisition of knowledge in school and beyond. However, SRL is not well known and utilized by the Engineering and Technology education community for facilitating student learning. Self-regulated learning is an important but difficult concept to present to students. The application of self-regulation to learning is a complicated process involving not only the awareness and application of learning strategies but also extensive reflection and self-awareness. This paper describes the design and development of the SRL instructional strategies, their implementation, and the evaluation of their effectiveness. The outcomes are provided and recommendations are discussed.
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Shih, Hui-Ru, Wei Zheng, Pao-Chiang Yuan, and Richterica Tukiya Ford. "Development of Self Regulation Skills and Academic Self-Efficacy Beliefs." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50343.

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In engineering and technology education, increasing concerns about student retention have led educators to pursue possible explanations for students’ academic successes and failures. Educators need to maintain students’ learning interest and motivation and increase their self-efficacy and learning persistence. Self-Regulated Learning (SRL) is a specific form of learning. “Self-regulated” describes a process of taking control of and evaluating one’s own learning and behavior. SRL is guided by meta-cognition, strategic action, and motivation to learn. With SRL, students can evaluate their study and learning strategies. Self-regulated learners also hold incremental beliefs about intelligence and attribute their successes or failures to factors within their control. The application of self-regulation to learning is a complicated process involving not only the awareness and application of learning strategies but also extensive reflection and self-awareness. Training programs that promote SRL have been found to be beneficial for students’ learning. This paper describes the design and development of the SRL instructional strategies, their implementation, and the evaluation of their effectiveness. Students also learned about the brain and how it forms new connections every time they learn something new. The outcomes are provided and recommendations are discussed.
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Stramkale, Ligita, and Laila Timermane. "Primary School Students’ Self-Regulated Learning Skills in Music Lessons." In 78th International Scientific Conference of University of Latvia. University of Latvia, 2020. http://dx.doi.org/10.22364/htqe.2020.12.

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The topicality of the study was determined by the increasing role of self-regulated learning (hereinafter SRL) in primary education. The aim of the study is to compare the teacher’s assessment with the students’ self-assessment, to identify whether there are differences in awareness of the required level of SRL skills in music learning. Previous researches on SRL have been analysed, and an empirical study involving 86 (N=86) 4th- grade students of primary school has been conducted to achieve the aim of the study. To determine the level of primary school students’ SRL skills in music learning, the SRL skills of each student during music lessons were observed by the music teacher and were recorded in the observation protocol according to four criteria: motivation, setting learning outcomes, monitoring of learning and outcomes assessment. The questionnaire provided an opportunity to reveal the self-assessment of each student’s SRL skills and compare them with the results obtained by pedagogical observation. The study found that there is no difference between the teacher’s assessment and students’ self-assessment. Both teacher and students believe that the students’ skill of setting learning outcomes in a music lesson is at a low level, while the skills of monitoring their learning and assessing the outcomes are at a medium level. The study concluded that primary school students understand their SRL skills level, which is a prerequisite of monitoring learning and outcomes assessment strategies for joint learning.
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Wang, Xuan. "L2 vocabulary learning motivation by Chinese EFL learners." In 11th International Conference of Experimental Linguistics. ExLing Society, 2020. http://dx.doi.org/10.36505/exling-2020/11/0054/000469.

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L2 motivation has been proved by a plethora of studies to positively affect various domains of L2 learning, among which L2 vocabulary learning is relatively underexplored in the literature. This study, therefore, explores the characteristics of L2 vocabulary learning motivation by Chinese EFL learners and investigates how motivation relates to self-regulated learning strategies. The study employs a mixedmethod approach with 47 Chinese EFL learners. Two instruments, the motivation questionnaire and the learning strategies questionnaire were employed, and ten participants were interviewed with regard to self-regulated vocabulary learning. The results reveal the instrumentality (i.e. promotion and prevention) of Chinese EFL learners in vocabulary learning, which is related to their learning strategies and selfregulation.
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