Phases Of Self-regulated Learning Research Articles

Description of Implementation of Self-Regulated Learning on Student at The University of X

This research aims to provide a description regarding the implementation of Self-Regulated Learning on students at the University of X. This research was organized with quantitative methods with types of descriptive. Sampling method on this research using the technique of convenience with the number of participants of 110 students of University consist of 48 males and 62 females. Measurement of Self-Regulated Learning conducted using questionnaires which done by researchers based on 3 phases of Self-Regulated Learning, which are: (1) Forethought, (2) Performance and (3) Self-reflection. The result of this research showed that applying on the first phases which is the stage of Forethought relatively low with the gain of score of 2.62 compared to an average score of 2.82. However, the second phases, which is the stage of performance relatively high with the gain of score above average which is 2.90. the implementation of the third phases which the self-reflection quite high with the score of 2.94. On the research also found the relationship between Grade Point Average (GPA) and the implementation of the 3 phases of Self-Regulated Learning, which is the higher GPA score earned by students, the more optimal the implementation of 3 cycles of Self-Regulated Learning.

What makes practice perfect? How tertiary piano students self-regulate play and non-play strategies for performance success

Self-regulated practice is critical to musicians’ development, but it is unclear what components of practice contribute to performance quality. This study aimed to explore tertiary music students’ practice using performance evaluations as indicators of practice efficacy. Five tertiary piano students prepared a quick study task of two pieces for a mock performance, in 2 hours over 2 days. An expert panel evaluated the mock performances and performers were ranked accordingly. Practice session recordings and interview transcripts were analysed according to the three phases of Self-Regulated Learning (forethought, performance, self-reflection) and linked to the pianists’ final performance evaluations. Successful pianists planned their practice and set interpretative goals, while their less successful peers practiced reactively without planning. The highest-ranked pianist’s self-regulation was facilitated by non-play practice which involved taking long pauses and using strategies such as score study, mark score, and listen to own recording. The lowest-ranked pianist failed to identify problems or self-evaluate effectively. Future studies should explore the use and content of non-play practice strategies, especially self-recording, to empower music students to develop and self-regulate their practice. The quick study task provided an effective practice assessment tool and could be used to diagnose and track practice approaches.

OpenVM MOOCs: a design for self-regulated learning

This paper presents the design of two miniMOOCs (Massive Open Online Courses) Autonomy-driven learning and Self-Regulated Learning (SRL), developed in the Open Virtual Mobility MOOC. The design is based on two concepts: microlearning and SRL. All the MOOC elements were designed to support SRL. From a descriptive and quantitative approach, the research aims to explore participants' satisfaction and their perception on the supporting roles of the miniMOOC for SRL. Data was collected through an online survey through which 375 answers were collected. Results show the general satisfaction of learners with the MOOC design. As for the SRL design gamification and visualization of pathways were more relevant for certain SRL phases such as monitoring learning. OER and related quizzes were useful for all SRL phases. Quizzes especially supported self-reflection. Open Badges supported the forethought phase of SRL. Social elements such as forums and eportfolios obtained the lowest rates in relation to support of SRL. The paper concludes with recommendations for educational research and MOOCs design.

Examining the relationship between emotion variability, self-regulated learning, and task performance in an intelligent tutoring system

Prior research has focused extensively on how emotion tendencies (e.g., duration, frequency, intensity, and valence) affect students’ performance, but little is known about emotion variability (i.e., the fluctuations in emotion states) and how emotion variability affects performance. In this paper, emotion variability was examined among 21 medical students in the context of solving two patient cases of different complexity with BioWorld, a computer-based intelligent tutoring system. Specifically, we examined the influences of task complexity on emotion variability, emotion variability in self-regulated learning (SRL) phases, and the differences in emotion variability between high and low performers. We found that students’ emotion variability varies depending on the SRL phases (i.e., forethought, performance, and self-reflection) and task complexity. High performing students had smaller emotion variability than low performers across the three SRL phases, but the differences in emotion variability were not statistically significant. Moreover, emotion variability in the forethought phase contributed most to high performance when compared to the emotional variability in the performance and self-reflection phases. This study advances theoretical development about emotion variability and provides insights that help explain the mixed results that existed in extant literature.

Time-driven modeling of student self-regulated learning in network-based tutors

ABSTRACT This study applies a time-driven approach to model self-regulated learning (SRL) on the basis of elapsed time metrics in the context of open-ended learning environments (OELEs), specifically, network-based tutors. In doing so, we examine how students allocated attentional resources to distinct phases of SRL as a measure of depth of information processing. Student teachers (N=68) were assigned to two different versions of nBrowser: a static version where the network did not converge on the basis of student interactions and a dynamic version where the network was continually updated by the system. Students designed a lesson plan and completed pre- and post-test self-report measures of knowledge gains. In both the experimental conditions, the results show four distinct SRL profiles that are relatively consistent and can be detected on the basis of behavioral patterns logged by the system across behaviors, namely, planning, requesting hints, studying examples, and monitoring. Although students who allocated more attentional resources to studying examples performed more poorly, their efforts to engage in planning, requesting hints, and monitoring were found to predict knowledge gains and design skills. Furthermore, students assigned to the dynamic version of the system outperformed those assigned to the static version in pedagogical knowledge gains.

Confused, now what? A Cognitive-Emotional Strategy Training (CEST) intervention for elementary students during mathematics problem solving

We developed a cognitive-emotional strategy training (CEST) intervention to teach fifth-grade students (N = 57) self-regulated learning strategies that can be used when confusion is experienced during mathematics problem solving in addition to strategies they can implement during learning to help solve them. Fifth-grade students were randomly assigned to the intervention condition or the control condition. A think-emote-aloud protocol was administered to capture self-regulatory processes and emotions as students solved a complex mathematics problem. Using an explanatory mixed methods design, results revealed that, compared to students in the control condition, students who received the intervention scored significantly higher on the mathematics problem, implemented more cognitive and metacognitive learning strategies across the four phases of self-regulated learning, expressed more positive emotions and fewer negative emotions, and were better able to regulate and resolve their confusion when it occurred. These results extend previous findings from the strategy instruction literature by incorporating consideration of the role of emotions during learning.

The dynamic roles of cognitive reappraisal and self-regulated learning during mathematics problem solving: A mixed methods investigation

Emotion regulation (ER) and self-regulated learning (SRL) are crucial to learners’ academic achievements. To date, little research has considered the dynamic relations between cognitive reappraisal (as a form of ER) and SRL in middle-to-upper-elementary-aged children. To address this gap, we conducted an explanatory mixed-methods study to examine relations between cognitive reappraisal, the four macro phases of SRL (task definition, planning/goal setting, enactment of learning strategies, monitoring/evaluation), and mathematics problem-solving outcomes in a sample of 134 elementary students from grades 3 through 6. Path analysis revealed that cognitive reappraisal positively predicted all four phases of SRL, but that the four phases of SRL did not predict cognitive reappraisal. Moreover, both task definition and planning/goal setting positively predicted enactment and monitoring/evaluation. Results from path analyses further revealed that task definition mediated relations between cognitive reappraisal and enactment, and reappraisal and monitoring. Enactment mediated relations between reappraisal and mathematics problem-solving outcomes. Finally, enactment predicted mathematics problem-solving outcomes. Further, quantitative results were cross-validated by results from trend analyses; results converged regarding the weakly sequenced nature of SRL and with regard to cognitive reappraisal serving as an important antecedent for effective SRL.

Self-assessment in the process of self-regulated learning and its relationship with academic achievement

Despite the theoretical argument and empirical evidence regarding the impact of self- assessment on academic achievement and self-regulated learning (SRL), the mechanism for this impact is understudied. The present study aimed to investigate the characteristics of self-assessment practices at different SRL phases and its relationship with academic achievement. Using a course assignment as the learning task, sixty-three students enrolled in a one-year master programme in a teacher education institute responded to an instrument assessing their self-assessment practices (including four self-assessment actions) at the SRL Preparatory, Performance and Appraisal phases of the task. Their final scores of the assignment were also collected. The results showed that self-assessment is a fundamental skill for SRL and occurs at each SRL phase with different patterns. Autoregressive relationships were found for all self-assessment actions between different SRL phases. Self-reflection at Performance phase was found to influence feedback seeking at Appraisal phase. Self-directed feedback seeking through monitoring at Performance phase was the strongest and positive predictor of academic achievement; and achievement had negative impact on all self-assessment actions at Appraisal phase. This study may assist educators and researchers to better understand the complexity of self-assessment in relation to learning process.

Multimedia e-Learning and Self-Regulated Science Learning: a Study of Primary School Learners’ Experiences and Perceptions

Multimedia-supported e-learning is considered useful as it can offer an enjoyable independent learning experience to learners. However, the effectiveness of e-learning for self-regulated science learning is still inconclusive. This study aimed to explore primary school students’ perceptions and experiences of self-regulated science learning in a multimedia-supported e-learning environment. A total of 11 classes from grades 3 to 6 from four Hong Kong schools participated in this study. All e-learning lessons were observed, and 33 (3 from each class) were interviewed using cognitive walkthroughs of how they made use of the multimedia resources and system tools, scaffolds, or prompts to direct their own learning in each of the three self-regulated learning phases (forethought, performance, and reflection). Results revealed that the combined use of the discussion forum and statistics table seemed to facilitate the students’ diagnosis of their prior knowledge of natural phenomena in the forethought phase. In the performance phase, the students mostly enjoyed learning with the graphic data, animations, and/or simulation experiments. Some perceived the prompts or tools from the e-learning system as useful for operation and science learning. In the reflection phase, the students self-assessed their learning using quizzes with emoticons as positive feedback which seemed to increase their enthusiasm for learning science. However, not all students were able to effectively use the system tools or prompts, to keep focused self-discipline, or to achieve deeper science learning without the teacher’s guidance. Hence, this study suggests providing more opportunities for students’ exposure to e-learning resources, while at the same time assisting them in the use of digital tools or resources, in adjusting their learning strategies, and in internalizing scientific ideas and inquiry processes so as to ensure more effective self-regulated science learning.

The value of fixed versus faded self-regulatory scaffolds on fourth graders’ mathematical problem solving

Research has indicated that students can be taught self-regulated learning (SRL) in scaffolding programs focusing on a fixed continuous practice (e.g., metacognitive question prompts). However, the fading role of scaffolding to prepare autonomous learning is often an overlooked component. A unique approach for fading is suggested that offers a graduated reduction model of scaffolding prompts according to the SRL phases involved in the solution, which allows assimilation of processes to prepare learners for autonomous activity. This quasi-experimental study of fourth-graders (n = 134) examines the effectiveness of metacognitive self-question prompts in a Fixed (continuous) versus Faded (graduated reduction) scaffolds model during planning, monitoring and reflection phases, on the facilitation of students’ SRL (metacognition, calibration of confidence judgment, motivation), and sense making of mathematical problem solving at the end of the program (short-term effect) and 3 months later (long-term/lasting effect). Findings indicated that the Faded Group performed best in the metacognition knowledge aspect, motivation in the performance goal approach increased and, in the avoidance, goal decreased. No differences were found between the groups on the regulation aspect and calibration of confidence judgment in the solution success. Additionally, the Faded Group outperformed the Fixed Group on sense making of problem solving. These findings were manifested particularly in the long-term effect. The study supports theoretical claims relating the role of fading scaffolds to increase students’ autonomous SRL (metacognition, motivation) and improvements in sense making, particularly on the long-term retention effect.

Formative Scaffolding: how to alter the level and strength of self-efficacy and foster self-regulation in a mathematics test situation

ABSTRACTThe aim of the present study is to advocate the use of a participatory action research programme, the Formative Scaffolding Programme (FSP), in mathematics. The FSP’s main structure is presented as well as an implementation of a class intervention, with the aim of exploring the FSP test cycle’s virtues in a social science class in a Swedish upper-secondary school. The motivations for the FSP’s development were to enhance students’ awareness of their mathematical proficiency, alter the level and strength of their self-efficacy, foster self-regulated learning (SRL), reduce and prevent mathematics-related anxiety, and visualise the learning process in mathematics. The primary findings of the study were there was a resemblance between the FSP setting and SRL phases, and that participation in the test cycle altered the level and strength of students’ self-efficacy and fostered self-regulation in a mathematics test situation. The benefits of working in a formative scaffolding manner indicate that it is worth implementing the FSP on a larger scale. The study is an example of how students can engage in transforming classroom practice and be radical agents of change.

A self-regulated learning approach to extensive listening and its impact on listening achievement and metacognitive awareness

The role of self-regulation in general learning has been investigated for some time now. Its significance and contribution to second language (L2) listening, however, has yet to be discussed extensively with empirical support. This article reports a case study involving four college EFL students in China over a six-month period of self-regulated learning (SRL) in developing their listening in independent settings. The study examined how the achievement and metacognitive awareness of four high-achieving and low-achieving listeners may have been affected by strategies they used for self-regulating extensive listening activities. It also examined the learners’ engagement during four phases of self-regulated listening, namely, task definition, goal setting and planning, strategy enactment, and metacognitive adaptation. Findings revealed substantial differences in the two groups’ metacognitive engagement in three SRL phases. The article argues that the achievements of the respective learners in listening development were affected by these differences. Pedagogical implications of a self-regulated learning approach in extensive listening for L2 listening development are discussed.

The interplay between self-regulation in learning and cognitive load

Research on self-regulated learning and on cognitive load has been two of the most prominent and influential research lines in educational research during the last decades. However, both lines developed quite independently from one another. This paper aims to bridge both concepts in order to better understand self-regulation as well as cognitive affordances of complex and dynamic learning processes. In fact, most learning environments require learners to self-regulate their learning process. They have to set their goals and plan, use strategies and monitor their learning progress and if necessary they have to regulate, i.e. to adapt their learning behavior. However, in all these phases of self-regulation, learners need to invest cognitive and metacognitive resources in addition to dealing with the original learning task. The affordances of self-regulation thus will cause cognitive load. This paper analyzes the affordances in the different phases of self-regulated learning in terms of intrinsic, extraneous and germane load. As a conclusion, the interplay between different affordances of self-regulation and learners’ resources and aptitudes is described in an integrated model of self-regulation and cognitive load.

How do types of interaction and phases of self-regulated learning set a stage for collaborative engagement?

This study investigates how self-regulated learning phases are related to collaborative engagement in two different collaborative task conditions. It integrates SRL theory and the concept of engagement, including interaction in collaboration, as key characteristics of engagement. Forty-four second-year teacher education students worked in groups during a 7-week math didactic course. We collected 84 h of video recordings and coded the group's cognitive and socioemotional interaction and three phases of self-regulation within interaction, including forethought, performance and reflection. After that we analyzed the relationship between the interaction types representing collaborative engagement and SRL phases within two learning tasks. The results show that collaborative engagement did not differ between teacher-led and student-led tasks in terms of the interaction types. However, the results showed that the SRL phases occurred differently within cognitive and socioemotional interaction types when the two task conditions were compared. Findings concerning teacher-led tasks showed invariance in the occurrence of SRL phases across the task and highlighted the relationship between socioemotional interaction and the forethought phase. Additionally, findings concerning the student-led tasks showed systematic changes in the distribution of phases of SRL across sessions in all interaction types. Our results' theoretical and methodological implications for collaborative engagement research are discussed.

The role of epistemic emotions in mathematics problem solving

The purpose of this research was to examine the antecedents and consequences of epistemic and activity emotions in the context of complex mathematics problem solving. Seventy-nine elementary students from the fifth grade participated. Students self-reported their perceptions of control and value specific to mathematics problem solving, and were given a complex mathematics problem to solve over a period of several days. At specific time intervals during problem solving, students reported their epistemic and activity emotions. To capture self-regulatory processes, students thought out loud as they solved the problem. Path analyses revealed that both perceived control and value served as important antecedents to the epistemic and activity emotions students experienced during problem solving. Epistemic and activity emotions also predicted the types of processing strategies students used across three phases of self-regulated learning during problem solving. Finally, shallow and deep processing cognitive and metacognitive strategies positively predicted problem-solving performance. Theoretical and educational implications are discussed.

Occurrences and quality of teacher and student strategies for self-regulated learning in hands-on simulations

For many decades, teacher-structured hands-on simulations have been used in education mainly for developing procedural and technical skills. Stimulating contemporary learning outcomes suggests more constructivist approaches. The aim of this study is to examine how self-regulated learning (SRL), an important constructivist learning environment characteristic, is expressed in hands-on simulations. Via structured observations of teachers’ SRL promoting strategies and students’ SRL strategies in eight hands-on simulations, along the three phases of SRL, this study is the first to expose whether students and teachers use SRL in hands-on simulations, what these strategies look like and what their quality is. The results show that both students and teachers demonstrate SRL behaviour in the forethought, performance and reflection phase to some extent, but that they vary considerably in their occurrences, form and quality and provide opportunities for improvement. For example, teacher strategies ‘modelling’ and ‘scaffolding’ were often used, while ‘giving attribution feedback’ and ‘evaluation’ were lacking. The student strategy ‘proposing methods for task performance’ was used regularly, while ‘goal-setting’ and ‘self-monitoring’ were often absent. An overview shows exemplary teacher and student behaviours in the SRL phases with lower, medium and higher quality in hands-on simulations.

The Cyclical Nature of Self-Regulated Learning Phases: Stable Between Learning Tasks?

Think-aloud and self-report data from 37 preservice teachers were used to examine the stability of self-regulated learning (SRL). Participants, all of whom were preservice teachers, learned about 2 topics (Circulatory System and Constructivism) with hypermedia. Think-aloud data were collected to determine the extent to which participants self-regulated their learning in each task. In addition, participants completed a self-report questionnaire, which measured various motivation constructs. Results indicated that the level of extrinsic motivation and control beliefs was similar between tasks, whereas the level of task value and self-efficacy was higher when participants learned about Constructivism. In addition, participants’ use of some SRL processes (planning and monitoring) was stable between the learning tasks, despite the higher level of task value and self-efficacy. Use of learning strategies significantly increased when they learned about Constructivism, however. These results offer theoretical implications and insights into the interaction between SRL phases during hypermedia learning.

Construct and predictive validity of microanalytic measures of students' self-regulation of science learning

We sought to determine the construct and predictive validity of a microanalytic approach to capture the subprocesses within the three phases of self-regulated learning (SRL). Subprocesses included students' use of strategic planning, metacognition, task strategies, and self-evaluative standards. Fifty-one high school juniors were assessed as they read, studied, and were tested on a science passage. The results of the microanalytic measures were compared with the previously validated RSSRL Scale. Hierarchical regression revealed that microanalytic measures shared significant variance with the RSSRL. In addition to this construct validity, the former measures displayed greater predictive validity of science learning. Regression revealed a linear increase in SRL among students from different achievement levels. Case studies of a student at each level demonstrated how the microanalysis can provide finely detailed information about SRL. The results suggest that phase-linked microanalytic measures of SRL have potential diagnostic value for guiding instructional interventions in science.

Supporting self‐regulated learning in computer‐based learning environments: systematic review of effects of scaffolding in the domain of science education

AbstractDespite the widespread assumption that students require scaffolding support for self‐regulated learning (SRL) processes in computer‐based learning environments (CBLEs), there is little clarity as to which types of scaffolds are most effective. This study offers a literature review covering the various scaffolds that support SRL processes in the domain of science education. Effective scaffolds are categorized and discussed according to the different areas and phases of SRL. The results reveal that most studies on scaffolding processes focus on cognition, whereas few focus on the non‐cognitive areas of SRL. In the field of cognition, prompts appear to be the most effective scaffolds, especially for processes during the control phase. This review also shows that studies have paid little attention to scaffold designs, learner characteristics, or various task characteristics, despite the fact that these variables have been found to have a significant influence. We conclude with the implications of our results on future design and research in the field of SRL using CBLEs.

Investigating how college students’ task definitions and plans relate to self-regulated learning processing and understanding of a complex science topic

Winne and Hadwin (2008) identified four phases of self-regulated learning (SRL) including defining the task, setting goals and making plans, studying (i.e., learning), and adaptation. The vast majority of SRL research has focused on processing during the third phase, studying. In this study, we developed coding rubrics that allowed us to examine how the results of college students’ processing during phases one and two of Winne and Hadwin’s model, task definitions and plans, affected their SRL processing while learning with a hypermedia learning environment (HLE), and their subsequent academic performance. Our findings showed that, on average, participants gained both factual knowledge and integrated conceptual understanding over the course of learning with the HLE. The quality of participants’ task definitions and plans at pretest, as well as their SRL processing during learning, were related to learning outcomes. On average, participants’ task definitions improved from pretest to posttest. The findings from this study and the associated coding methodologies have implications for educational research and practice.