scholarly journals Clearing the confusion about self-directed learning and self-regulated learning

2018 ◽  
Vol 40 (8) ◽  
pp. 862-863 ◽  
Author(s):  
Roghayeh Gandomkar ◽  
John Sandars
2016 ◽  
pp. 1129-1156
Author(s):  
Iolanda Garcia ◽  
Begoña Gros ◽  
Ingrid Noguera

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.


Author(s):  
Younghui Hwang ◽  
Jihyun Oh

Problem-solving ability is necessary for the clinical reasoning and decision-making of nurses to solve patients’ health problems. This study aims to investigate the association between self-directed learning and problem-solving ability using the multiple mediation model to identify strategies to enhance problem-solving ability in nursing students. This is a descriptive survey study of 193 nursing students from two universities in South Korea. Data about self-directed learning, self-regulated learning, academic self-efficacy, and problem-solving ability were collected using structured questionnaires between 5 March and 17 June 2018, and were analyzed using serial multiple mediation analysis. The direct effect of self-directed learning on problem-solving ability was statistically significant. The serial multiple mediation technique predicting problem-solving ability from self-directed learning, academic self-efficacy, and self-regulated learning was significant, explaining 40% of the variance in problem-solving ability. The relationship between self-directed learning and problem-solving ability was partially mediated by academic self-efficacy and self-regulated learning. This study suggests the suitability of considering academic self-efficacy and self-regulated learning together when conducting self-directed learning to improve nursing students’ problem-solving ability.


2014 ◽  
pp. 460-465
Author(s):  
Katherine Thornton

As a learning advisor who has been working in self-access learning for six years, I consider myself to be familiar with the field of learner autonomy and self-directed learning, drawing on the work of Henri Holec (1981), David Little (1991), Phil Benson (2011), Anita Wenden (1998) and others in my advising practice, curriculum design projects and research. From time to time in my work, I have come across the concept of self-regulation, as opposed to self-direction, and have had the opportunity to attend several presentations on the subject, where I have found myself in a familiar-sounding yet ultimately different universe. Some of the constructs used were familiar to me, but the terms used to describe them (such as forethought and performance monitoring instead of planning and reflection), and the researchers most referenced (typically Zimmermann and Schunk (2011) as opposed to Holec or Benson) were notably different. I was thus eager to take part in the symposium at Shimonoseki City University, Yamaguchi, entitled Self-Regulation in Foreign Language Learning: Shared Perspectives, to learn more about it. The symposium ran for two days, with only one presentation room, which meant that every participant was able to attend all the presentations. This and the relatively small size (around 40 participants over the weekend) created a friendly and supportive atmosphere, conducive to discussion and the sharing of ideas.


Author(s):  
Iolanda Garcia ◽  
Begoña Gros ◽  
Ingrid Noguera

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.


2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Philip H Winne ◽  
Kenny Teng ◽  
Daniel Chang ◽  
Michael Pin-Chuan Lin ◽  
Zahia Marzouk ◽  
...  

Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. Gašević, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning episodes. They recommended building on Winne’s (1982) characterization of traces — ambient data gathered as learners study that more clearly represent which operations learners apply to which information — and his COPES model of a learning event — conditions, operations, products, evaluations, standards (Winne, 1997). We designed and describe an open source, open access, scalable software system called nStudy that responds to their challenge. nStudy gathers data that trace cognition, metacognition, and motivation as processes that are operationally captured as learners operate on information using nStudy’s tools. nStudy can be configured to support learners’ evolving self-regulated learning, a process akin to personally focused, self-directed learning science.


Author(s):  
Iolanda Garcia ◽  
Begoña Gros ◽  
Ingrid Noguera

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.


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