scholarly journals Supporting Self-regulated Learning with Digital Media using Motivational Regulation and Metacognitive Prompts

2021 ◽  
Author(s):  
Martin Daumiller ◽  
Markus Dresel
Keyword(s):  
Digital Media ◽  
Self Regulation ◽  
Path Modeling ◽  
Learning Session ◽  
Metacognitive Control ◽  
Self Regulated Learning ◽  
Positive Effects ◽  
Metacognitive Prompts ◽  
Motivational Regulation ◽  
Regulated Learning

Studying with digital media, learners often struggle because of inadequate self-regulation. Previous research presented clear evidence of metacognitive prompts being effective in supporting learning with digital media. This study examines the potential of motivational regulation prompts, which are assumed to additionally support self-regulated learning. During a 50-min learning session in a digital media learning environment, 215 university students received either no prompts, only metacognitive prompts, only motivational regulation prompts, or both types of prompts. Task value, metacognitive control, task-related learning activities, and knowledge were assessed at a pretest, posttest, and follow-up. The results replicated known positive effects of metacognitive prompts and revealed additional supportive effects of motivational regulation prompts on all dependent variables. Path modeling of the experimentally induced changes was in line with a theoretical model specifying proximal and distal effects of both prompts. Altogether, this indicates that especially motivational regulation prompts could be an effective scaffold to support SRL with digital media.

scholarly journals Supporting Self-Regulated Learning With Digital Media Using Motivational Regulation and Metacognitive Prompts

2019 ◽  
Author(s):  
Martin Daumiller ◽  
Markus Dresel
Keyword(s):  
Digital Media ◽  
Self Regulation ◽  
Path Modeling ◽  
Learning Session ◽  
Metacognitive Control ◽  
Self Regulated Learning ◽  
Positive Effects ◽  
Metacognitive Prompts ◽  
Motivational Regulation ◽  
Regulated Learning

Studying with digital media, learners often struggle because of inadequate self-regulation. Previous research presented clear evidence of metacognitive prompts being effective in supporting learning with digital media. This study examines the potential of motivational regulation prompts, which are assumed to additionally support self-regulated learning. During a 50-minute learning session in a digital media learning environment, 215 university students received either no prompts, only metacognitive prompts, only motivational regulation prompts, or both types of prompts. Task value, metacognitive control, task-related learning activities, and knowledge were assessed at a pretest, posttest, and follow-up. The results replicated known positive effects of metacognitive prompts and revealed additional supportive effects of motivational regulation prompts on all dependent variables. Path modeling of the experimentally induced changes was in line with a theoretical model specifying proximal and distal effects of both prompts. Altogether, this indicates that especially motivational regulation prompts could be an effective scaffold to support SRL with digital media.

Motivation From a Self-Regulated Learning Perspective: Application to School Psychology

2021 ◽  
pp. 082957352110546
Author(s):  
Aishah Bakhtiar ◽  
Allyson F. Hadwin
Keyword(s):  
School Psychology ◽  
Self Regulation ◽  
Metacognitive Awareness ◽  
Motivational Beliefs ◽  
Focus Attention ◽  
Metacognitive Control ◽  
Academic Tasks ◽  
Self Regulated Learning ◽  
Regulated Learning

Self-regulation of learning involves developing metacognitive awareness (planning, monitoring, and evaluating) of (a) cognition—motivational beliefs, (b) behaviors—persistence, effort, engagement, and (c) affect—enjoyment, interest, and other emotions. Metacognitive awareness creates opportunities to exert metacognitive control as needed, which may involve sustaining or manipulating motivational cognition, behavior, and affect. By adopting a self-regulation perspective, this paper discusses the ways motivation develops within and across academic tasks and situations, as well as the ways learners can be supported to take control of their motivation in those contexts. Applying self-regulation principles in the practice of School Psychology means to consider the role of situation, context, and learners’ socio-historical experiences while empowering learners to focus attention on things they can control.

Improving Higher Education Students’ Learning Proficiency by Fostering their Self-regulation Skills

2016 ◽  
Vol 24 (2) ◽  
pp. 264-276 ◽  
Author(s):  
Erik De Corte
Keyword(s):  
Learning Environment ◽  
Self Regulation ◽  
Learning Task ◽  
Control Group ◽  
Business Economics ◽  
First Year Students ◽  
Self Regulated Learning ◽  
Positive Effects ◽  
Regulated Learning ◽  
Post Test

A major challenge for education and educational research is to build on our present understanding of learning to design environments for education that are conducive to fostering students’ self-regulatory and cooperative learning skills, transferable knowledge, and a disposition toward competent thinking and problem solving. Using the CLIA-model (Competence, Learning, Intervention, Assessment) as a framework for developing learning environments, and taking the growing knowledge base on self-regulated learning as a background, this article discusses an intervention study that aimed at the design and evaluation of a powerful learning environment for fostering self-regulated learning in university freshmen, thereby improving their learning proficiency. More specifically, the intervention in this environment focused on the trainability of four cognitive (orienting, planning, self-testing, and reflecting), and four complementary affective self-regulation skills (respectively self-judging, valuing, coping, and attributing). The effects of the learning environment were investigated using a pre-test – post-test design with a control group. The participants were 141 first-year students of business economics. The positive effects of the intervention on students’ self-regulated learning and on their academic performance is illustrated for two of the eight self-regulation skills, namely orienting (preparing one’s learning process by examining the characteristics of a learning task) and self-judging (evaluating one’s competences in view of an accurate appraisal of the efforts needed to approach and accomplish a learning task).

scholarly journals Strategie e strumenti di valutazione formativa per promuovere l’apprendimento autoregolato: una rassegna ragionata delle ricerche empiriche

2021 ◽  
Author(s):  
Irene Scierri
Keyword(s):  
Formative Assessment ◽  
Empirical Studies ◽  
Self Regulation ◽  
Target Population ◽  
Future Research ◽  
Assessment Practices ◽  
Self Regulated Learning ◽  
Positive Effects ◽  
Regulated Learning ◽  
Quasi Experimental

The area of research into the relationship between formative assessment and self-regulated learning is well established. Several studies have explored the connection between assessment and self-regulated learning, but the literature shows that there are still several lines of research to be explored, including examining which formative assessment practices actually help students improve their self-regulation skills and under which conditions. The paper presents a reasoned review of empirical studies, with experimental or quasi-experimental research design, that have examined the effect of formative assessment practices on self-regulated learning. The target population includes students from all levels of education. It was possible to classify two different ways of implementing formative assessment practices: a global approach and an analytical approach. Most of the reviewed studies recorded significant positive effects on self-regulation. The results and implications for future research are discussed.

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.

scholarly journals The Effect Of Problem Based Learning And Self-Assessment On Students’ Writing Competency And Self-Regulated Learningm

2018 ◽  
Vol 42 ◽  
pp. 00036
Author(s):  
I Putu Suyoga Dharma ◽  
Pande Agus Adiwijaya
Keyword(s):  
Significant Interaction ◽  
Self Regulation ◽  
Problem Based Learning ◽  
Teaching Model ◽  
Self Assessment ◽  
Significance Level ◽  
Self Regulated Learning ◽  
Writing Competency ◽  
Regulated Learning

This experimental study aimed at investigating the effect of Problem Based Learning (PBL) and self-assessment (SA) on students’ writing competency and self-regulated learning in Tabanan Regency. This research applied 2x2 factorial design. 96 students were selected as sample through random sampling. Data were collected by test (writing competency) and questionnaire (self-regulation). Students’ writings were scored by analytical scoring rubric. The obtained data were analyzed statistically by MANOVA at 5% significance level. This research discovers: 1) there is a significant effect of PBL which occurs simultaneously and separately on students’ writing competency and self-regulated learning, 2) there is a significant effect of SA which ocurs simultaneously and separately on students’ writing competency and self-regulated learning, 3) there is a significant interaction between teaching model and assessment type on students’ writing competency and self-regulated learning which occurs simultaneously, 4) there is no significant interaction between teaching model and assessment type on students’ writing competency, and 5) there is a significant interaction between teaching model and assessment type on students’ self-regulated learning. This research results implies that PBL and SA should be applied in instruction process as a way to improve the quality of students’ writing competency and self-regulated learning.

scholarly journals Training Self-Regulated Learning in the Classroom: Development and Evaluation of Learning Materials to Train Self-Regulated Learning during Regular Mathematics Lessons at Primary School

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Manuela Leidinger ◽  
Franziska Perels
Keyword(s):  
Primary School ◽  
Self Regulation ◽  
The Self ◽  
Structured Learning ◽  
Process Data ◽  
Learning Materials ◽  
Self Regulated Learning ◽  
Powerful Learning ◽  
Regulated Learning ◽  
Evaluation Of Learning

The aim of the intervention based on the self-regulation theory by Zimmerman (2000) was to promote a powerful learning environment for supporting self-regulated learning by using learning materials. In the study, primary school teachers were asked to implement specific learning materials into their regular mathematics lessons in grade four. These learning materials focused on particular (meta)cognitive and motivational components of self-regulated learning and were subdivided into six units, with which the students of the experimental group were asked to deal with on a weekly basis. The evaluation was based on a quasiexperimental pre-/postcontrol-group design combined with a time series design. Altogether, 135 fourth graders participated in the study. The intervention was evaluated by a self-regulated learning questionnaire, mathematics test, and process data gathered through structured learning diaries for a period of six weeks. The results revealed that students with the self-regulated learning training maintained their level of self-reported self-regulated learning activities from pre- to posttest, whereas a significant decline was observed for the control students. Regarding students’ mathematical achievement, a slightly greater improvement was found for the students with self-regulated learning training.

scholarly journals Learning Analytics to Reveal Links Between Learning Design and Self-Regulated Learning

2021 ◽  
Author(s):  
Yizhou Fan ◽  
Wannisa Matcha ◽  
Nora’ayu Ahmad Uzir ◽  
Qiong Wang ◽  
Dragan Gašević
Keyword(s):  
Learning Analytics ◽  
High Performance ◽  
Process Mining ◽  
Learning Experience ◽  
Learning Design ◽  
Metacognitive Control ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
High Level ◽  
Evaluation Of Learning

AbstractThe importance of learning design in education is widely acknowledged in the literature. Should learners make effective use of opportunities provided in a learning design, especially in online environments, previous studies have shown that they need to have strong skills for self-regulated learning (SRL). The literature, which reports the use of learning analytics (LA), shows that SRL skills are best exhibited in choices of learning tactics that are reflective of metacognitive control and monitoring. However, in spite of high significance for evaluation of learning experience, the link between learning design and learning tactics has been under-explored. In order to fill this gap, this paper proposes a novel learning analytic method that combines three data analytic techniques, including a cluster analysis, a process mining technique, and an epistemic network analysis. The proposed method was applied to a dataset collected in a massive open online course (MOOC) on teaching in flipped classrooms which was offered on a Chinese MOOC platform to pre- and in-service teachers. The results showed that the application of the approach detected four learning tactics (Search oriented, Content and assessment oriented, Content oriented and Assessment oriented) which were used by MOOC learners. The analysis of tactics’ usage across learning sessions revealed that learners from different performance groups had different priorities. The study also showed that learning tactics shaped by instructional cues were embedded in different units of study in MOOC. The learners from a high-performance group showed a high level of regulation through strong alignment of the choices of learning tactics with tasks provided in the learning design. The paper also provides a discussion about implications of research and practice.

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.

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