scholarly journals ENHANCING LIFELONG LEARNING AWARENESS IN THE FACULTY OF ENGINEERING AT MCGILL UNIVERSITY

2018 ◽  
Author(s):  
Maria Orjuela-Laverde ◽  
Nasim Razavinia ◽  
Laurent Mydlarski
Keyword(s):  
Lifelong Learning ◽  
Engineering Students ◽  
Self Regulation ◽  
Assessment Method ◽  
Self Reflection ◽  
Systematic Assessment ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Mcgill University ◽  
Definition Of

 Abstract – The theoretical approach to Lifelong Learning used in this paper introduces findings in the field of Self-Regulated Learning (SRL). We are using Nilson’s [4] definition of SRL, which states that self-regulation "encompasses the monitoring and managing of one’s cognitive processes, as well as the awareness of and control over one’s emotions, motivations, behavior, and environment as related to learning." The principles that guide SRL, as proposed by Schunk and Zimmerman [6-8] are: 1) Forethought; 2) Performance/volitional control and; 3) Self-reflection. Following the definition and principles suggested in the SRL literature, activities were designed to develop and strengthen engineering students’ self-regulated learning skills and awareness of such competencies. At McGill University, the Faculty of Engineering is pursuing a systematic assessment method of lifelong learning awareness by the way of activities that target the first- and final-year students.

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.

Self-Regulated Learning as a Method to Develop Scientific Thinking

2015 ◽  
pp. 1189-1214
Author(s):  
Erin E. Peters Burton
Keyword(s):  
Nature Of Science ◽  
Self Regulation ◽  
Scientific Thinking ◽  
Scientific Enterprise ◽  
Self Monitoring ◽  
Self Reflection ◽  
Learning And Teaching ◽  
Self Regulated Learning ◽  
Evaluation Of Performance ◽  
Regulated Learning

The development of skills and the rationale behind scientific thinking has been a major goal of science education. Research has shown merit in teaching the nature of science explicitly and reflectively. In this chapter, the authors discuss how research in a self-regulated learning theory has furthered this finding. Self-regulation frames student learning as cycling through three phases: forethought (cognitive processes that prepare the learner for learning such as goal setting), performance (employment of strategies and self-monitoring of progress), and self-reflection (evaluation of performance with the goal). Because students have little interaction with the inherent guidelines that drive the scientific enterprise, setting goals toward more sophisticated scientific thinking is difficult for them. However, teachers can help students set goals for scientific thinking by being explicit about how scientists and science function. In this way, teachers also explicitly set a standard against which students can self-monitor their performance during the learning and self-evaluate their success after the learning. In addition to summarizing the research on learning and teaching of self-regulation and scientific thinking, this chapter offers recommendations to reform science teaching from the field of educational psychology.

Supporting Learning Self-Regulation through a PLE

2016 ◽  
pp. 1129-1156
Author(s):  
Iolanda Garcia ◽  
Begoña Gros ◽  
Ingrid Noguera
Keyword(s):  
Lifelong Learning ◽  
Time Management ◽  
Knowledge Society ◽  
Self Regulation ◽  
Self Directed Learning ◽  
Web Based ◽  
Virtual Spaces ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Directed Learning

In the knowledge society, autonomous and Self-Directed Learning (SDL) have become particularly important for professional development and lifelong learning. This kind of learning can take place in physical and virtual spaces that may belong to formal institutions but also to extended communities and networks. In virtual spaces, self-directed learning and self-regulation skills and capacities play an important role in learners' performance. For this reason, it is highly recommended to empower students to design and deploy educational spaces and projects able to fuse formal and informal contexts. The use of Personal Learning Environments (PLEs) can support learners to gain control over their experiences through Web-based tools and a task-orientated environment. It is known that time management is one relevant component of self-regulated learning. There are many Web-based tools that can be used to control time investment and promote planning but little research that takes into account time management in the design and use of PLEs. This chapter describes the results of the Just4me project1, aimed at designing and developing a PLE to support self-regulated learning dealing with time management as an important dimension in lifelong learning. From this perspective, this chapter contributes to the operationalization and analysis of the time factor in online learning regarding time management in self-regulated learning processes supported by PLEs.

Supporting Learning Self-Regulation through a PLE

2018 ◽  
pp. 1018-1046
Author(s):  
Iolanda Garcia ◽  
Begoña Gros ◽  
Ingrid Noguera
Keyword(s):  
Lifelong Learning ◽  
Time Management ◽  
Knowledge Society ◽  
Self Regulation ◽  
Self Directed Learning ◽  
Web Based ◽  
Virtual Spaces ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Directed Learning

In the knowledge society, autonomous and Self-Directed Learning (SDL) have become particularly important for professional development and lifelong learning. This kind of learning can take place in physical and virtual spaces that may belong to formal institutions but also to extended communities and networks. In virtual spaces, self-directed learning and self-regulation skills and capacities play an important role in learners' performance. For this reason, it is highly recommended to empower students to design and deploy educational spaces and projects able to fuse formal and informal contexts. The use of Personal Learning Environments (PLEs) can support learners to gain control over their experiences through Web-based tools and a task-orientated environment. It is known that time management is one relevant component of self-regulated learning. There are many Web-based tools that can be used to control time investment and promote planning but little research that takes into account time management in the design and use of PLEs. This chapter describes the results of the Just4me project1, aimed at designing and developing a PLE to support self-regulated learning dealing with time management as an important dimension in lifelong learning. From this perspective, this chapter contributes to the operationalization and analysis of the time factor in online learning regarding time management in self-regulated learning processes supported by PLEs.

Supporting Learning Self-Regulation through a PLE

2013 ◽  
pp. 127-162
Author(s):  
Iolanda Garcia ◽  
Begoña Gros ◽  
Ingrid Noguera
Keyword(s):  
Lifelong Learning ◽  
Time Management ◽  
Knowledge Society ◽  
Self Regulation ◽  
Self Directed Learning ◽  
Web Based ◽  
Virtual Spaces ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Directed Learning

In the knowledge society, autonomous and Self-Directed Learning (SDL) have become particularly important for professional development and lifelong learning. This kind of learning can take place in physical and virtual spaces that may belong to formal institutions but also to extended communities and networks. In virtual spaces, self-directed learning and self-regulation skills and capacities play an important role in learners’ performance. For this reason, it is highly recommended to empower students to design and deploy educational spaces and projects able to fuse formal and informal contexts. The use of Personal Learning Environments (PLEs) can support learners to gain control over their experiences through Web-based tools and a task-orientated environment. It is known that time management is one relevant component of self-regulated learning. There are many Web-based tools that can be used to control time investment and promote planning but little research that takes into account time management in the design and use of PLEs. This chapter describes the results of the Just4me project1, aimed at designing and developing a PLE to support self-regulated learning dealing with time management as an important dimension in lifelong learning. From this perspective, this chapter contributes to the operationalization and analysis of the time factor in online learning regarding time management in self-regulated learning processes supported by PLEs.

Self-Regulated Learning as a Method to Develop Scientific Thinking

2013 ◽  
pp. 1-26 ◽  
Author(s):  
Erin E. Peters Burton
Keyword(s):  
Nature Of Science ◽  
Self Regulation ◽  
Scientific Thinking ◽  
Scientific Enterprise ◽  
Self Monitoring ◽  
Self Reflection ◽  
Learning And Teaching ◽  
Self Regulated Learning ◽  
Evaluation Of Performance ◽  
Regulated Learning

The development of skills and the rationale behind scientific thinking has been a major goal of science education. Research has shown merit in teaching the nature of science explicitly and reflectively. In this chapter, the authors discuss how research in a self-regulated learning theory has furthered this finding. Self-regulation frames student learning as cycling through three phases: forethought (cognitive processes that prepare the learner for learning such as goal setting), performance (employment of strategies and self-monitoring of progress), and self-reflection (evaluation of performance with the goal). Because students have little interaction with the inherent guidelines that drive the scientific enterprise, setting goals toward more sophisticated scientific thinking is difficult for them. However, teachers can help students set goals for scientific thinking by being explicit about how scientists and science function. In this way, teachers also explicitly set a standard against which students can self-monitor their performance during the learning and self-evaluate their success after the learning. In addition to summarizing the research on learning and teaching of self-regulation and scientific thinking, this chapter offers recommendations to reform science teaching from the field of educational psychology.

Fostering self-regulated learning in higher education: Making self-regulation visible

2020 ◽  
pp. 146978742098237
Author(s):  
Joanne M Russell ◽  
Chi Baik ◽  
Anna T Ryan ◽  
Elizabeth Molloy
Keyword(s):  
Higher Education ◽  
Academic Achievement ◽  
Lifelong Learning ◽  
Teaching Practices ◽  
Self Regulation ◽  
Structured Interview ◽  
Interview Data ◽  
Learning Skills ◽  
Self Regulated Learning ◽  
Regulated Learning

Research associates self-regulated learning with academic achievement and lifelong learning. Although there is consensus surrounding the need for students to develop self-regulated learning skills, there is a paucity of research exploring how educators can foster student self-regulated learning. This study examines the teaching practices, beliefs and experiences of educators that foster student self-regulated learning, across a range of disciplines. It explores the characteristics of teaching that foster self-regulated learning, and the influences on educator approaches. Questionnaire and semi-structured interview data were subjected to analysis. The findings identified four types of teaching strategies used to foster self-regulated learning. This study illuminates the conditions that support educators to foster student self-regulated learning, as well as the challenges they face. Educators’ own engagement in self-regulation, often made visible to students, played a key role in promoting students’ self-regulatory capacities.

scholarly journals SELF-REGULATED LEARNING IN ENGINEERING STUDENTS: STRATEGIES FOR PEDAGOGICAL RESOURCE

Anales AFA ◽  
2021 ◽  
Vol 32 (1) ◽  
pp. 32-38
Author(s):  
V. Miná ◽  
◽  
M. Silvestre ◽  
L. Otero ◽  
◽  
...  
Keyword(s):  
Engineering Students ◽  
Self Regulation ◽  
The Self ◽  
Academic Environment ◽  
Academic Context ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Environment Study ◽  
Study Teams ◽  
Control Of Thoughts

This paper presents some findings of the investigation "Self-regulated learning in engineering students of the Army Engineering Faculty (FIE)". The central theoretical contributions on the “self-regulation of learning” comes from theconceptual approaches of Zimmerman and Pintrich since they allow the understanding of the processes that takes placein the control of: thoughts, feelings, motivations and actions for the achievement of the learning objectives.It was found that to achieve this self-regulation in their learning, the students in this sample developed strategies throughwhich they manage and internalize resources from the academic environment. They are grouped into two large catego-ries: group study and the use of elements of the environment. The dynamics of conformation and functioning of work incollaborative study teams are similar among students. In addition, they describe the progressive use of elements of theinstitutional environment: study spaces, materials, technologies, institutional devices and also codes and dynamics ofsocial interaction typical of this faculty. The achievement of self-regulation implies the progressive incorporation of theresources of the academic context and this is a process that demands time and effort from the student. The acquisitionof self-regulation is evidence of the solid construction of the student ́s craft and a successful educational affiliation tothe university context.

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.

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