scholarly journals An Approach to Co-Design and Self-Regulated Learning in Technological Environments. Systematic Review

2021 ◽  
Vol 10 (2) ◽  
pp. 234
Author(s):  
Sofia Villatoro Moral​ ◽  
Barbara De Benito
Keyword(s):  
Systematic Review ◽  
Self Regulation ◽  
Technology Enhanced Learning ◽  
Task Management ◽  
Self Regulated Learning ◽  
Personalised Learning ◽  
Design Learning ◽  
Regulated Learning ◽  
Learning Pathways ◽  
Ebsco Host

Present-day society calls for new student-centred didactic methodologies that make the student an active participant in their learning process. Strategies aimed at training citizens and professionals must adapt and respond to a society that is constantly changing. In this context, self-regulated learning and educational co-design emerge as key concepts in the development of new educational approaches. The present study seeks to identify the elements shared by models of self-regulation and educational co-design in technology-enhanced learning environments. To this end, a systematic review of the scientific literature during the period 2014-2019 has been conducted. The search was carried out using five databases: (1) Ebsco Host; (2) Web of Science; (3) Scopus; (4) ERIC; (5) Dialnet. A total of 830 references and 21 papers meeting the criteria for inclusion were identified. An analysis of the studies selected enabled us to identify the self-regulation models associated with co-design learning processes, as well as the elements they have in common. These include planning, motivation, cognition, task management, collaboration, and degree of success. The results provide the first steps for the construction of a co-design model, which includes guidelines for the creation of personalised learning pathways in technology-enhanced environments.

scholarly journals The relationship between mobile learning and self-regulated learning: A systematic review

2020 ◽  
Vol 36 (4) ◽  
pp. 151-172
Author(s):  
Agnieszka Palalas ◽  
Norine Wark
Keyword(s):  
Systematic Review ◽  
Mobile Learning ◽  
Self Regulation ◽  
Geographic Location ◽  
Theoretical Models ◽  
Mobile Technologies ◽  
Measurement Instruments ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
The Relationship

A systematic review of 38 primary research peer-reviewed articles, drawn from six databases and spanning from January 2007 to January 2019, was conducted to determine the principle information that they collectively offered on the relationship between mobile learning (m-learning) and self-regulated learning (SRL). In answering the research questions posed, a synthesis of the following 12 key elements was undertaken: (1) research aims, (2) research methodologies, (3) outcomes, (4) education discipline areas, (5) educational levels, (6) educational contexts, (7) geographic location, (8) time frame, (9) type of device, (10) m-learning and SRL definitions, (11) theoretical models, and (12) m-learning, self-regulation (SR), and SRL variable measurement instruments. The frequency of studies on the relationship between m-learning and SRL increased in more recent years, as did the types of devices used in these studies. More than three quarters of the studies concluded that m-learning enhanced SRL, SRL enhanced m-learning, or m-learning and SRL enhanced other learning factors (e.g., health, curriculum development). Moreover, the relationship between m-learning and SRL was dynamic and complex. A primary recommendation was to intentionally integrate m-learning and SRL into formal curricula guided by informed, technologically adept educators who provided appropriate, ever-decreasing support and scaffolding as learners became more self-determined.   Implications for practice or policy: M-learning research and practice should be founded upon relevant theory and validated definitions of m-learning that consider ever-advancing technologies and related pedagogies that include participatory activities. M-learning designers should ensure that mobile technologies are used intentionally and selectively, guided by clearly defined learning objectives, and integrated into the curriculum by technologically adept educators who provide appropriate, ever-decreasing support and scaffolding as learners become more self-determined. When designing m-learning, educators should consider digital safety and privacy issues.

Face-to-Face and Web-Forum Interventions Promoting SRL Skills at University

2010 ◽  
pp. 380-395
Author(s):  
Barbara De Marco ◽  
Nicoletta Businaro ◽  
Eleonora Farina ◽  
Ottavia Albanese
Keyword(s):  
University Students ◽  
Self Regulation ◽  
Educational Interventions ◽  
Technology Enhanced Learning ◽  
Discussion Forums ◽  
Face To Face ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Web Forum ◽  
Collaborative Activities

Based on recent findings about Self-Regulated Learning (SRL), we outline three educational interventions aimed at fostering students’ learning competence. Our particular focus is on the interaction between collaborative learning in Technology Enhanced Learning contexts and the development of SRL competencies. Two interventions carried out by our research team involved collaborative activities conducted both face-to-face and in web-based learning environments, aimed at promoting the SRL skills of first year university students. Based on the outcomes of these two projects, a further project for different departments was undertaken. This last intervention was designed to facilitate collaborative reflection on the components and processes of SRL through e-tivities and discussion forums. Our research suggests that collaboration in analyzing and working on the different competencies involved in self-regulated learning is an optimal means of enhancing the self-regulation competencies of university students.

Self-Regulated Learning and Technology-Enhanced Learning Environments

2010 ◽  
pp. 1-26 ◽  
Author(s):  
Matthew L. Bernacki ◽  
Anita C. Aguilar ◽  
James P. Byrnes
Keyword(s):  
Learning Environments ◽  
Theoretical Basis ◽  
Empirical Studies ◽  
Self Regulation ◽  
Technology Enhanced Learning ◽  
Design Features ◽  
Adaptive Feedback ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Enhanced Learning

Recent research suggests that technologically enhanced learning environments (TELEs) represent an opportunity for students to build their ability to self-regulate, and for some, leverage their ability to apply self-regulated learning (SRL) to acquire knowledge. This chapter reviews 55 empirical studies and interprets their findings to answer the following questions: (1) What is the theoretical basis for understanding the possible relations among SRL and TELEs? (2) What types of TELE have been used to study these relations? (3) When participants engage in SRL behaviors in a well-designed TELE, do they show greater learning than their peers who engage in fewer SRL behaviors? (4) How have TELEs been shown to promote SRL tendencies in learners? and (5) How do pre-existing SRL tendencies influence the ways in which learners interact with TELEs? Our review suggests that TELEs can promote SRL and are best used by those who can self-regulate learning. SRL training should occur before the task, or be embedded in the TELE. Knowledge acquisition in TELEs is supported by learner self-regulation and by design features that include immediate and adaptive feedback and tools which support SRL behaviors.

scholarly journals Trace-based Micro-analytic Measurement of Self-Regulated Learning Processes

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Melody Siadaty ◽  
Dragan Gasevic ◽  
Marek Hatala
Keyword(s):  
Learning Environment ◽  
Methodological Approach ◽  
Self Regulation ◽  
Learning Processes ◽  
Future Research ◽  
Technology Enhanced Learning ◽  
Self Regulated Learning ◽  
Regulatory Processes ◽  
Measurement Protocol ◽  
Regulated Learning

To keep pace with today’s rapidly growing knowledge-driven society, productive self-regulation of one’s learning processes are essential. We introduce and discuss a trace-based measurement protocol to measure the effects of scaffolding interventions on self-regulated learning (SRL) processes. It guides tracing of learners’ actions in a learning environment on the fly and translating these data into indicators of engagement in SRL processes that reflect learners’ use of scaffolding interventions and contingencies between those events. Graphs of users’ learning actions in a learning environment are produced. Our trace-based protocol offers a new methodological approach to investigating SRL and new ways to examine factors that affect learners’ use of self-regulatory processes in technology-enhanced learning environments. Our application of the protocol was described in a study about Learn-B, a learning environment for SRL in the workplace. The findings of the work presented in this paper indicate that future research can gain substantially by using learning analytics based on users’ trace data and merging them with other quantitative and qualitative techniques for researching SRL beliefs and processes.

scholarly journals Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review

2018 ◽  
Vol 35 (4-5) ◽  
pp. 356-373 ◽  
Author(s):  
Jacqueline Wong ◽  
Martine Baars ◽  
Dan Davis ◽  
Tim Van Der Zee ◽  
Geert-Jan Houben ◽  
...  
Keyword(s):  
Systematic Review ◽  
Online Learning ◽  
Learning Environments ◽  
Online Learning Environments ◽  
Self Regulated Learning ◽  
Regulated Learning

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.

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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