scholarly journals Self-Regulated Learning in Flipped Classrooms: A Systematic Literature Review

2020 ◽  
Vol 10 (11) ◽  
pp. 848-853
Author(s):  
Rasheed Abubakar Rasheed ◽  
◽  
Amirrudin Kamsin ◽  
Nor Aniza Abdullah ◽  
Habeebah Adamu Kakudi ◽  
...  
Keyword(s):  
Help Seeking ◽  
Instructional Strategy ◽  
Flipped Classroom ◽  
Self Regulation ◽  
Future Research ◽  
Online Help ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Flipped Classrooms ◽  
Regulation Strategies

The flipped classroom is considered an instructional strategy and a type of blended learning instruction that focused on active learning and student engagement. Over the years, flipped classroom studies have focused more on the advantages and challenges of flipped instruction and its effectiveness, but little is known about the state of self-regulation in flipped classrooms. This study investigates the self-regulation strategies as well as the supports proposed for self-regulated learning in flipped classrooms. Findings show that relatively few studies have focused on self-regulated learning in flipped classrooms compared to the overall research and publication productivity in flipped classrooms. Also, the existing solutions and supports have only focused on either self-regulation or online help-seeking, but have not focused on other specific types of self-regulation strategies. Our study proposed some future research recommendations in flipped classrooms.

ADHD and SCT Symptomatology in Relation to College Students’ Use of Self-Regulated Learning Strategies

2017 ◽  
Vol 23 (14) ◽  
pp. 1719-1728 ◽  
Author(s):  
Christopher R. Shelton ◽  
William E. Addison ◽  
Cynthia M. Hartung
Keyword(s):  
College Students ◽  
Rating Scale ◽  
Self Regulation ◽  
Strategy Use ◽  
Sluggish Cognitive Tempo ◽  
Future Research ◽  
Use Of Self ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Regulation Strategies

Objective: The present study examined the relation between self-regulated learning (SRL) strategies and ADHD and sluggish cognitive tempo (SCT) symptomatology. Method: Participants were 303 college students, aged 18 to 25 ( M = 20.04, SD = 1.45), from a Midwestern university who completed the Barkley Adult ADHD Rating Scale-IV (BAARS-IV), and a shortened, generalized version of the Motivated Strategies for Learning Questionnaire (MSLQ). Results: Among college students, inattention symptomatology was consistently predictive of deficits in use of value, expectancy, and self-regulation strategies, while SCT symptomatology was only predictive of deficits in the use of self-regulation strategies. Conclusion: This study is the first to examine the relation between SCT symptomatology and SRL strategy use in college students. The findings revealed that SRL strategy use differs between college students exhibiting ADHD or SCT symptomatology. Remediation focusing on these deficits would likely increase academic achievement. Clinical implications, limitations, and suggestions for future research are discussed.

scholarly journals Systematic literature review on self-regulated learning in massive open online courses

2019 ◽  
Vol 35 (1) ◽  
Author(s):  
Daeyeoul Lee ◽  
Sunnie Lee Watson ◽  
William R Watson
Keyword(s):  
Goal Setting ◽  
Help Seeking ◽  
Online Courses ◽  
The Body ◽  
Massive Open Online Courses ◽  
Future Research ◽  
Massive Open Online ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Regulation Strategies

Despite arguments about the importance of self-regulated learning (SRL) in massive open online courses (MOOCs) (Terras & Ramsay, 2015), understanding of the topic is limited. This study offers a systematic review of empirical research on SRL in MOOCs. It revealed that the body of literature on SRL in MOOCs has grown from 2014 to 2016. The content analysis findings show that SRL was a factor positively influencing learning in MOOCs. SRL strategies were identified, including motivational regulation strategies, specifically self-efficacy, task value, and goal setting. Particular cognitive regulation strategies were not identified, and goal setting was found as a metacognitive regulation strategy. Regarding behavioural and contextual regulation strategies, help seeking, time management, and effort regulation were identified. In addition, several MOOC designs and SRL interventions that consider unique characteristics of MOOCs were proposed to promote SRL. Implications of these findings and future research are discussed.

Effects of Learning Analytics on Students' Self-Regulated Learning in Flipped Classroom

2018 ◽  
Vol 14 (3) ◽  
pp. 91-107 ◽  
Author(s):  
João Carlos Sedraz Silva ◽  
Erik Zambom ◽  
Rodrigo Lins Rodrigues ◽  
Jorge Luis Cavalcanti Ramos ◽  
Fernando da Fonseca de Souza
Keyword(s):  
Learning Analytics ◽  
Flipped Classroom ◽  
Engineering Students ◽  
Self Regulation ◽  
Control Group ◽  
Self Reflection ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Flipped Classrooms ◽  
Experimental Group

The present article is aimed at analyzing the effects of learning analytics on students' self-regulated learning in a flipped classroom. An experiment was conducted with 96 engineering students, enrolled in a subject offered in the Flipped Classroom model. The students were divided into two groups: an experimental group (N = 51) and a control group (N = 45). After each learning unit, while the control group did not have access to any learning analytics resources, students from the experimental group received a bulletin with feedback to support Self-Regulated Learning. The levels of student self-regulation were measured through questionnaires at the beginning and the end of the course. The analysis of the collected data revealed that the bulletin promoted significant effects in self-regulated learning in the experimental group, stimulating the self-reflection and colleague's support search for clarifying doubts. These results demonstrate that learning analytics can be used to promote self-regulated learning in flipped classrooms, helping students identify strategies that can increase their academic performance.

scholarly journals The Role of Mental Effort in Fostering Self-Regulated Learning with Problem-Solving Tasks

2020 ◽  
Vol 32 (4) ◽  
pp. 1055-1072 ◽  
Author(s):  
Tamara van Gog ◽  
Vincent Hoogerheide ◽  
Milou van Harsel
Keyword(s):  
Problem Solving ◽  
Self Regulation ◽  
Mental Effort ◽  
Future Research ◽  
Task Sequence ◽  
Self Monitoring ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Mathematics

Abstract Problem-solving tasks form the backbone of STEM (science, technology, engineering, and mathematics) curricula. Yet, how to improve self-monitoring and self-regulation when learning to solve problems has received relatively little attention in the self-regulated learning literature (as compared with, for instance, learning lists of items or learning from expository texts). Here, we review research on fostering self-regulated learning of problem-solving tasks, in which mental effort plays an important role. First, we review research showing that having students engage in effortful, generative learning activities while learning to solve problems can provide them with cues that help them improve self-monitoring and self-regulation at an item level (i.e., determining whether or not a certain type of problem needs further study/practice). Second, we turn to self-monitoring and self-regulation at the task sequence level (i.e., determining what an appropriate next problem-solving task would be given the current level of understanding/performance). We review research showing that teaching students to regulate their learning process by taking into account not only their performance but also their invested mental effort on a prior task when selecting a new task improves self-regulated learning outcomes (i.e., performance on a knowledge test in the domain of the study). Important directions for future research on the role of mental effort in (improving) self-monitoring and self-regulation at the item and task selection levels are discussed after the respective sections.

Examining the role of passion in university students’ academic emotions, self-regulated learning and well-being

2021 ◽  
pp. 147797142110373
Author(s):  
Anna Sverdlik ◽  
Sonia Rahimi ◽  
Robert J Vallerand
Keyword(s):  
University Students ◽  
Adult Students ◽  
Self Regulation ◽  
Well Being ◽  
Future Research ◽  
Academic Emotions ◽  
Psychological Well Being ◽  
Self Regulated Learning ◽  
Regulated Learning

University students’ passion for their studies has been previously demonstrated to be important for both their academic performance and their personal well-being. However, no studies to date have explored the role of passion for one’s studies on both academic and personal outcomes in a single model. The present research sought to determine the role of passion in adult university students’ self-regulated learning and psychological well-being (Study 1), as well as the process by which passion shapes these outcomes, namely academic emotions, in Study 2. It was hypothesised that harmonious passion would positively predict both self-regulated learning and psychological well-being in Study 1. Furthermore, the mediating role of academic emotions between passion and outcomes was tested using a prospective design over time in Study 2. Results provided support for the proposed model. Implications for future research and practice focusing on the role of passion in facilitating adaptive emotions, use of self-regulation and well-being in adult students are discussed.

scholarly journals The role of self-control, self-efficacy, metacognition, and motivation in predicting school achievement

Psihologija ◽  
2019 ◽  
Vol 52 (1) ◽  
pp. 35-52
Author(s):  
Vladimir Dzinovic ◽  
Rajka Djevic ◽  
Ivana Djeric
Keyword(s):  
Self Efficacy ◽  
Structural Model ◽  
School Achievement ◽  
Self Regulation ◽  
Self Control ◽  
Future Research ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Eighth Grade Students

Self-control and self-regulated learning refer to those processes and strategies whereby individuals exert agency in facing educational demands. This study tested a structural model which predicts that self-control has direct effect on school achievement, as well as mediated by metacognitive self-regulation, academic self-efficacy, and regulatory motivational styles as the variables related to self-regulated learning. The research was carried out on a stratified random sample of 575 eighth grade students. It was shown that the effect of self-control on achievement is mediated by self-efficacy. In other words, students who have heightened selfcontrol and believe in their own ability to meet school demands will be successful in school regardless of the complexity of their learning or whether they are autonomously motivated. The implications of such a finding were considered, as well as the limitations of the research and the indications for future research.

The Value of Metacognition and Reflectivity in Computer-Based Learning Environments

2016 ◽  
pp. 105-136
Author(s):  
Sammy Elzarka ◽  
Valerie Beltran ◽  
Jessica C. Decker ◽  
Mark Matzaganian ◽  
Nancy T. Walker
Keyword(s):  
Learning Environments ◽  
Real World ◽  
Self Regulation ◽  
Future Research ◽  
Self Regulated Learning ◽  
Computer Based Learning ◽  
Real World Application ◽  
Regulated Learning ◽  
Computer Based

The purposes of this chapter are threefold: to explore the research on and relationships among metacognition, reflection, and self-regulated learning; to analyze students' experiences with metacognition, reflection, and self-regulated learning activities in computer-based learning (CBL) courses; and to provide strategies that can be used in a CBL environment to promote students' metacognition, reflection, and self-regulation. A review of underlying frameworks for and prior study findings in metacognition and reflection are presented. Case study findings are also described and form the basis for the suggested strategies. The value and implications of using such strategies are also offered. Finally, future research should address the teaching of metacognition and reflection in CBL environments with an emphasis on real world application.

The Promotion of Self-Regulated Learning Through Peer Feedback in Initial Teacher Education

2020 ◽  
Vol 10 (1) ◽  
pp. 1-20
Author(s):  
Elena Cano García ◽  
Laura Pons-Seguí
Keyword(s):  
Teacher Education ◽  
Help Seeking ◽  
Self Regulation ◽  
Peer Feedback ◽  
Task Value ◽  
Initial Teacher Education ◽  
Control Group ◽  
Learning To Learn ◽  
Self Regulated Learning ◽  
Regulated Learning

This study explores how peer-feedback promotes self-regulated learning (SRL) processes in initial teacher education. Self-regulation capacity is analyzed through Pintrich's MSLQ questionnaire. A total of 50 students have participated in this experience during the year 2015-2016. Tasks that enhanced self-regulation and learning to learn competence were developed in this course. In order to analyze the effect of these tasks on SRL, pre- and post-tests were administered to the experimental (n=50) and a control group (n=45). The results revealed an improvement in self-regulation capacity, especially in those items relative to help seeking, task value and self-efficacy.

scholarly journals Cultivating Self-Regulated Learning in Flipped EFL Courses: A Model for Course Design

2021 ◽  
Vol 23 (2) ◽  
pp. 20-36
Author(s):  
Ünal Çakıroğlu ◽  
Mücahit Öztürk
Keyword(s):  
Foreign Language ◽  
Learning Strategies ◽  
Time Management ◽  
Help Seeking ◽  
Flipped Classroom ◽  
Course Design ◽  
Testing Time ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Student Centred Learning

AbstractConsiderable effort has been invested in innovative learning practices in English Foreign Language courses (EFL) in universities. Flipped classroom model transforms passive listeners into active learners in school and home activities pace. Flipped classroom model and the foreign language teaching methods are student-centred learning environments in which students should have a certain level of self-regulated learning skills. The study suggest a model for flipped classroom implementations with regard to self-regulated learning strategies in order to keep students more active in the EFL courses. Students were allowed to apply goal setting and planning, rehearsing, help seeking, monitoring, testing, time management, organising, regulating and note taking strategies within the model in online and face to face sessions. We hope the suggested model can contribute to improve listening, reading, writing and speaking skills of students in EFL courses.

scholarly journals Profiles in self-regulated learning in the online learning environment

2010 ◽  
Vol 11 (1) ◽  
pp. 61 ◽  
Author(s):  
Lucy Barnard-Brak ◽  
Valerie Osland Paton ◽  
William Yun Lan
Keyword(s):  
Academic Outcomes ◽  
Time Management ◽  
Help Seeking ◽  
Latent Class ◽  
Setting Time ◽  
Future Research ◽  
Learning Behaviors ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Task Strategies

Individuals who are self-regulated in their learning appear to achieve more positive academic outcomes than individuals who do not exhibit self-regulated learning behaviors. We suggest that distinct profiles of self-regulated learning behaviors exist across learners. In turn, these profiles appear to be associated with significantly different academic outcomes. The purpose of the current study was to examine whether profiles for self-regulated learning skills and strategies exist among learners. To achieve this purpose, we conducted two studies using two different samples. We administered the Online Self-Regulated Learning Questionnaire (OLSQ), a 24-item scale with a 5-point Likert-type response format, to students enrolled in online degree programs at a large, public university located in the Southwestern United States. The OSLQ consists of six subscale constructs, including environment structuring, goal setting, time management, help seeking, task strategies, and self-evaluation. Latent class analyses were performed with participant subscale scores from the OSLQ. Our results indicate the presence of five, distinct profiles of self-regulated learning replicated across both study samples: super self-regulators, competent self-regulators, forethought-endorsing self-regulators, performance/reflection self-regulators, and non- or minimal self-regulators. Results also indicate that individuals differ significantly in their academic achievement according to their profile membership; for example, minimal and disorganized profiles of self-regulated learning are both associated with similar, poorer academic outcomes (e.g., lower GPAs). These profiles in self-regulated learning may be viewed as contributing to the development of theory by elucidating how exactly individuals are and are not self-regulated in their learning. The authors suggest future research directions.

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