Revealing Data Feature Differences Between System- and Learner-Initiated Self-regulated Learning Processes Within Hypermedia

2021 ◽  
pp. 481-495
Author(s):  
Megan Wiedbusch ◽  
Daryn Dever ◽  
Franz Wortha ◽  
Elizabeth B. Cloude ◽  
Roger Azevedo
Keyword(s):  
Learning Processes ◽  
Self Regulated Learning ◽  
Regulated Learning

Digital Storytelling as a Self-Regulated Learning Tool

2019 ◽  
pp. 209-232 ◽  
Author(s):  
Sinan Kaya
Keyword(s):  
Learning Process ◽  
Digital Storytelling ◽  
Learning Processes ◽  
Learning Tools ◽  
Learning Tool ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Digital Stories ◽  
Research Findings ◽  
Made In

The purpose of this chapter is, as a self-regulated learning tool, to focus on digital storytelling by uncovering relationship between digital storytelling and self-regulated learning process/based on research findings made in the its field. Within this focus, firstly, concept of digital storytelling was theoretically addressed; researches made in learning-teaching for use have been presented; later, self-regulated learning processes and strategies have been defined and given examples. Finally, research findings on the use of digital stories as self-regulated learning tools have been shared.

The Design of Authentic Inquiry for Online Knowledge-Constructive Interaction and Self-Regulated Learning Processes

2013 ◽  
Vol 3 (2) ◽  
pp. 25-39
Author(s):  
Woon Jee Lee ◽  
Fengfeng Ke
Keyword(s):  
Online Survey ◽  
Self Regulation ◽  
Interaction Model ◽  
Learning Processes ◽  
Authentic Inquiry ◽  
Design Elements ◽  
Self Regulated Learning ◽  
Self Evaluation ◽  
Learning Module ◽  
Regulated Learning

This study examined students’ self-regulated learning processes and satisfaction within an authentic, inquiry-based learning module in a graduate-level online course. In this design-based case study, a WebQuest-based, authentic learning module was developed to support self-regulated, collaborative discussions, and implemented with 22 graduate students at a large southeastern university in US. Online discussion transcripts were coded via the Online Learning Interaction Model, and learning satisfaction data were collected via an online survey. As a result, students’ social and knowledge-constructive interactions were closely associated with self-regulated processes. During group and class discussions, students were involved in planning and coordination interactions as well as those for reflection and self-evaluation. Students were generally satisfied with the design elements implemented in the authentic activities. The study findings provide insights on the design of the authentic and inquiry learning that supports both social and individual aspects of self-regulation processes.

scholarly journals Matching self-reports with electrodermal activity data: Investigating temporal changes in self-regulated learning

2019 ◽  
Vol 25 (3) ◽  
pp. 1785-1802 ◽  
Author(s):  
Muhterem Dindar ◽  
Jonna Malmberg ◽  
Sanna Järvelä ◽  
Eetu Haataja ◽  
Paul A. Kirschner
Keyword(s):  
Academic Achievement ◽  
Electrodermal Activity ◽  
Learning Processes ◽  
Self Report ◽  
Self Regulated Learning ◽  
Cognitive Regulation ◽  
Physiological Synchrony ◽  
Regulated Learning ◽  
Report Data ◽  
Self Report Data

AbstractThis study investigated the interplay of temporal changes in self-regulated learning processes (i.e., behavioral, cognitive, motivational and emotional) and their relationship with academic achievement in computer-supported collaborative learning. The study employed electrodermal activity and self-report data to capture the dynamicity of self-regulated learning processes during 15 sessions of collaborative learning activities. Our findings revealed that the changes in motivational regulation was related to academic achievement. However, academic achievement was not related to behavioral regulation, cognitive regulation or emotional regulation. Physiological synchrony among the collaborating students was found to be related only to cognitive regulation. The results also showed that the concordance of self-report data among the collaborating students was related to higher physiological synchrony among them in the behavioral, cognitive, and motivational dimensions of self-regulated learning. The findings reflect the complexity of the relationships between self-regulated learning constructs and demonstrates the potential value of physiological measures in self-regulated learning research.

scholarly journals Self-Regulated Learning: the essential factor for understanding and improving academic and clinical performance

2020 ◽  
Vol 30 (1) ◽  
pp. 36232
Author(s):  
John Sandars
Keyword(s):  
Goal Setting ◽  
Clinical Performance ◽  
Learning Processes ◽  
Use Of Self ◽  
Essential Factor ◽  
Self Monitoring ◽  
Self Regulated Learning ◽  
The Social ◽  
Regulated Learning ◽  
Improved Performance

There is increasing interest in the importance of Self-Regulated Learning for the improvement of academic and clinical performance. Self-Regulated Learning is a dynamic and cyclical metacognitive process that coordinates an individual’s skill (techniques) and will (motivation) to achieve a clearly defined task. There are differences in key Self-Regulated Learning processes between high and low performers, especially goal setting and self-monitoring. Formative feedback on the use of key Self-Regulated Learning processes, which can be identified using microanalysis before, during and after an individual performs a specific task, can lead to improved performance. There is increasing awareness of the importance of both the social and educational environment on the use of Self-Regulated Learning, including the essential influence of the teacher. 

scholarly journals SELF-REGULATED LEARNING MICROANALYSIS FOR THE STUDY OF THE PERFORMANCE OF CLINICAL EXAMINATIONS BY PHYSIOTHERAPY STUDENTS

2019 ◽  
Author(s):  
Raquel Medina ◽  
Daniel David Álamo-Arce ◽  
Felipe Rodríguez de Castro ◽  
Dario Cecilio Fernandez ◽  
John Sandars ◽  
...  
Keyword(s):  
Strategic Planning ◽  
Clinical Examination ◽  
Learning Processes ◽  
The Self ◽  
Rater Reliability ◽  
Self Monitoring ◽  
Self Regulated Learning ◽  
Self Evaluation ◽  
Regulated Learning ◽  
Physiotherapy Students

Abstract Background Understanding how health sciences students learn to perform clinical examinations is required to inform feedback that improves performance. Self-regulated learning (SRL) is an essential component of effective feedback. The key self-regulated learning processes can be identified using microanalysis. Self-regulated learning microanalysis is increasingly used to assess and inform the training of clinical skills in medical education but there are no studies on the use of self-regulated learning microanalysis to understand the performance of clinical examination by physiotherapy students. The aim of this study was to evaluate the feasibility of using self-regulated learning microanalysis to understand how physiotherapy students use key self-regulated learning processes while performing a clinical examination. Method SRL microanalysis assessed the self-regulated learning processes of second year physiotherapy students of a Spanish university (n= 26) as they performed a goniometric evaluation. An analysis of inter-rater reliability was also performed to evaluate the degree of agreement among raters. Results There were differences in the use of key self-regulated learning processes between successful (n= 15: 57.0%) and unsuccessful performers (n= 11: 43.0%), with differences in strategic planning, self-monitoring and the self-evaluation phases. There was good inter-rater reliability for scoring strategic planning (k=0.792), self-monitoring (k=0.946) and self-evaluation (k=0.846). Conclusion SRL microanalysis is a feasible approach to identify the key self-regulated learning processes of the performance of clinical examination by physiotherapy students. Further research with larger number of students and a variety of tasks is recommended.

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