scholarly journals INVESTIGATING SELF-REGULATED LEARNING STRATEGIES FOR DIGITAL LEARNING RELEVANCY

2021 ◽  
Vol 18 (Number 1) ◽  
pp. 29-64
Author(s):  
Lilian Anthonysamy ◽  
Koo Ah Choo ◽  
Hew Soon Hin
Keyword(s):  
Higher Education ◽  
Learning Strategies ◽  
Higher Education Institutions ◽  
Private Higher Education ◽  
Learning Performance ◽  
Future Research ◽  
Digital Learning ◽  
Sources Of Information ◽  
Self Regulated Learning ◽  
Regulated Learning

Purpose – The rise of digital learning and the prevalence of affordable devices are convenient for young adults who are accustomed to using their digital devices for almost everything such as communication, collaboration, and accessing multiple sources of information for solutions. However, the lack of ability to self-regulate learning processes has led to poor learning performance among undergraduates. Therefore, this study examined the effects of self-regulated learning strategies (SRLS) on learning performance among Malaysian IT undergraduates. Methodology – A sample of IT undergraduates from private higher education institutions in Malaysia participated in the study. Quantitative data from a total of 563 respondents was collected through questionnaire surveys and analysed using PLS-SEM. The common method variance was utilized in this paper. Findings – The findings of this study constitute essential results that three out of four SRLS domains (cognitive engagement, resource management, and motivational beliefs) positively influenced the students’ perception of learning performance. Significance – This study provides insight into the best SRLS to excel in digital learning for deeper learning particularly in the Malaysian context. Implications of the findings on higher education institutions as well as recommendations for future research are discussed. Keywords: Self-regulated learning strategies, digital learning, higher education, learning performance, subjective learning outcomes.

scholarly journals Perception and Attitude Toward Self-Regulated Learning of Thailand’s Students in Educational Data Mining Perspective

2019 ◽  
Vol 14 (09) ◽  
pp. 34 ◽  
Author(s):  
Wongpanya Sararat Nuankaew ◽  
Pratya Nuankaew ◽  
Direk Teeraputon ◽  
Kanakarn Phanniphong ◽  
Sittichai Bussaman
Keyword(s):  
Higher Education ◽  
Learning Styles ◽  
Learning Strategies ◽  
Undergraduate Students ◽  
Learning Strategy ◽  
Educational Data Mining ◽  
Learning Technology ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Modern Learning

The Self-Regulated Learning (SRL) strategies can be the best. It can be achieved by a sub-goal that will be more important in the younger generation. This paper proposes the process of developing factors (attributes) which are related to the development of learning styles through self-regulated strategies. The objectives of this paper are (1) to study the perception and attitude toward the attributes of students with self-regulated learning of the students in higher education, and (2) to find the level of acceptance towards the factor of SRL using applied statistics and machine learning technology. The results show that two tools have proved the respondents and the factors of SRL in the accepted level. Besides, the results found that Thai higher education students still focus on formal learning, which conflicts with the behavior and us-age of Internet and telephone in the classroom. In future work, the author is committed to develop and apply a self-regulated learning strategy model with a combination of collaborative learning strategies of blended learning. Also, it supports undergraduate students in analyzing the factors and studying the behavior patterns of learners in suitable modern learning.

Can Self-Regulated Learning Intervention Improve Student Reading Performance in Flipped Classrooms?

2020 ◽  
Vol 10 (4) ◽  
pp. 1-13
Author(s):  
Christopher C. Y. Yang ◽  
Irene Y. L. Chen ◽  
Anna Y. Q. Huang ◽  
Qian-Ru Lin ◽  
Hiroaki Ogata
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Self Efficacy ◽  
Learning Strategy ◽  
Learning Performance ◽  
Book Reading ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Student Reading ◽  
Reading System

The advancement in network technology has stimulated the proliferation of online learning. Online learning platforms, such as the learning management systems (LMS) and e-book reading systems, are widely used in higher education to enhance students' reflection and planning of the learning process. Although many studies have explored the relationships between students' reading patterns and learning performances, few have examined the effects of self-regulated learning, learning strategy, and self-efficacy on the learning performance of students. Here, the authors collected the reading logs from an e-book reading system BookRoll and investigated the correlations between students' abilities of self-regulated learning, learning strategy, self-efficacy, and learning performance. The results of this study provide valuable insights to the teachers in higher education regarding designing courses helpful for students to improve their learning performance.

scholarly journals The Relationships Between Self-Efficacy, Task Value, and Self-Regulated Learning Strategies in Massive Open Online Courses

2020 ◽  
Vol 21 (1) ◽  
pp. 23-39 ◽  
Author(s):  
Daeyeoul Lee ◽  
Sunnie Lee Watson ◽  
William R Watson
Keyword(s):  
Learning Strategies ◽  
Self Efficacy ◽  
Task Value ◽  
Future Research ◽  
Use Of Self ◽  
Massive Open Online ◽  
Positive Correlation ◽  
Self Regulated Learning ◽  
Significant Difference ◽  
Regulated Learning

This study examines the relationships between self-efficacy, task value, and the use of self-regulated learning strategies by massive open online course (MOOC) learners from a social cognitive perspective. A total of 184 participants who enrolled in two MOOCs completed surveys. The results of Pearson’s correlation analysis show a positive correlation between self-efficacy and the use of self-regulated learning strategies, as well as a positive correlation between task value and the use of self-regulated learning strategies. The results of hierarchical multiple regression analysis show that self-efficacy and task value are significant predictors of the use of self-regulated learning strategies. There was a statistically significant difference in the use of self-regulated learning strategies between learners who possessed high self-efficacy and those who possessed low self-efficacy. In addition, learners who had high task value showed statistically significant higher average self-regulated learning scores than those who had low task value. Implications and future research directions are discussed based on the findings.

scholarly journals A Cross-Cultural Study of Relationships between Epistemological Beliefs and Self-Regulated Learning Strategies

2021 ◽  
Vol 19 (54) ◽  
pp. 369-392
Author(s):  
Ying Hong Jiang ◽  
Jia Wang ◽  
Patricia Bonner ◽  
Jenny Yau
Keyword(s):  
Middle School ◽  
Learning Strategies ◽  
Self Efficacy ◽  
Epistemological Beliefs ◽  
Intrinsic Value ◽  
Future Research ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Self Regulatory Learning ◽  
The Relationship

Introduction.  Prior research consistently provides evidence supporting potential relationships between epistemological beliefs and learning. The current study examines the relationship between epistemological beliefs, academic motivation, and self-regulated learning strategies among different ethnic groups of American adolescents. Method.  This quantitative study utilized a correlational design to examine the relationship between epistemological beliefs and self-regulated learning strategies in adolescents attending middle school. A total of 364 middle school students (6th to 8th grade) from Southern California public middle schools participated in the study. A multiple group path model was employed to analyze the student data. Results.  We found that certain knowledge, omniscient authority, and innate ability beliefs about the nature of knowledge predict positive relationships with self-efficacy and intrinsic value components of motivation. Quick learning and simple knowledge beliefs predict negative relationships with self-efficacy and intrinsic-value but positive relationship with test-anxiety. Similarly, in the aspect of self-regulatory learning strategies, those who believe in the absolute nature of knowledge and the authorities tend to use cognitive and self-regulatory learning strategies more often, while those who believe in the speed of knowledge acquisition tend to employ those strategies less. Discussion and Conclusion. Findings from this study inform educators of the need to advance adolescents’ epistemological beliefs for each subject (e.g., science, language arts) as a method to facilitate their motivation and self-regulated learning. We recommend that future research should include assessments of the participants’ cultural orientations or the domain specificity of the epistemological beliefs, which may vary the associations of the beliefs with self-regulated learning. Additionally, future research can further investigate other potential mediators of the relationship between epistemological beliefs and self-regulatory learning.

Developing a pedagogical instrument for MIS fundamental course – embracing self-regulated learning strategies

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sajed M. Abukhader
Keyword(s):  
Learning Strategies ◽  
Conceptual Development ◽  
Single Case ◽  
Educational Institution ◽  
Future Research ◽  
Content Type ◽  
Four Dimensions ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Practical Implications

Purpose Teaching management information systems (MIS) fundamental course remains a challenging task to date, encountering several continuing complaints from students as well as instructors, as per several studies. Several reasons are reported, some of which are related to little embrace of more innovative non-traditional techniques, and limited literature guidance on selection and effective use of appropriate strategies to various settings. Toward instructional innovation, this paper proposes and tests a pedagogical instrument. By introducing this tool, the ultimate objective is to minimize the confusion that students usually encounter during this course and to empower the instructors in the delivery of its interdisciplinary knowledge. Design/methodology/approach A triangulation of four methods is being employed: conceptual development, experimentation for 12 years, assessment in light of the self-regulated learning theory, and empirical analysis. For the latter method, an open-ended questionnaire as well as group interviewing were carried out. Findings The proposed instrument (need-function instrument [NFI]) was found to be in support of self-regulated learning to a promising extent in terms of its four core aspects. The participants were more inclined to accept as well as appreciate the instrument than report drawbacks. Yet, there are few complaints for the inability to distinguish between two introduced terms, ‘Information Problem’ and ‘Operations Problem’. Therefore, a future effort is deemed necessary to explore this aspect. Research limitations/implications The results are based on a single case of educational institution which is not enough to generalize for other educational environments. Future research is necessary for testing in a variety of settings in terms of type of classroom, number of students enrolled, type of institution (public or private), etc. Practical implications Whereas the instrument is anticipated to render improvements in the students’ understanding of MIS content and to alleviate the task of the course leader in delivering the course, there are possible practical implications that should be paid careful attention to. They were analyzed in terms of four dimensions: the Instructor, the Student, the Classroom and Time. Originality/value The paper introduces a new pedagogical instrument/tool for teaching the MIS fundamental course.

Metamemory and Education

2015 ◽  
Author(s):  
Nicholas C. Soderstrom ◽  
Carole L. Yue ◽  
Elizabeth Ligon Bjork
Keyword(s):  
Learning And Memory ◽  
Learning Strategies ◽  
Special Consideration ◽  
Future Research ◽  
Memory And Learning ◽  
Self Regulated Learning ◽  
Current State ◽  
Educational Implications ◽  
Regulated Learning ◽  
Actual Learning

Metamemory refers to one’s knowledge and understanding of how learning and memory operate, as well as the interplay between the monitoring and controlling of one’s own memory and learning. This chapter reviews and evaluates the current state of metamemory research—basic, applied, and survey—with respect to its educational implications. Among the relevant aspects of metamemory discussed are the growing number of findings that, although people’s beliefs and ongoing assessments of their own learning can be sometimes quite accurate, they can also be very much at odds with their actual learning and create illusions of competence that can lead to the adoption of ineffective learning strategies. The chapter gives special consideration to procedures that might help foster metamemorial sophistication, with the goal of optimizing self-regulated learning. It concludes with some general remarks regarding the educational implications of metamemory research and offers some promising directions for future research.

scholarly journals Metacognitive illusion or self-regulated learning? Assessing engineering students’ learning strategies against the backdrop of recent advances in cognitive science

2020 ◽  
Author(s):  
Maria Cervin-Ellqvist ◽  
Daniel Larsson ◽  
Tom Adawi ◽  
Christian Stöhr ◽  
Raffaella Negretti
Keyword(s):  
Higher Education ◽  
Learning Strategies ◽  
Engineering Students ◽  
Metacognitive Awareness ◽  
Learning Context ◽  
Self Regulated Learning ◽  
Real World Setting ◽  
Long Run ◽  
Regulated Learning ◽  
Complex Picture

Abstract Knowing how students approach learning in higher education contexts is key to promote learning strategies that are effective in the long run. Previous research has concluded that students often use ineffective learning strategies but believe them to be effective—a phenomenon known as metacognitive illusion. In a bid to broaden the perspective on students’ use of learning strategies, this study draws on the notion of self-regulated learning as a theoretical lens. A questionnaire, comprising both open-ended and closed-ended questions, was developed to gather data from 416 engineering students. The questionnaire was geared towards (1) mapping what learning strategies students use in a real-world setting, in real courses, (2) probing their metacognitive awareness of the effectiveness of various learning strategies and (3) investigating why students choose certain learning strategies. We also compared which learning strategies the engineering students chose across programs and types of courses. The findings reveal a complex picture of why students sometimes use seemingly ineffective learning strategies, and we conclude that this is not always due to metacognitive illusion. It is instead often linked to attempts to regulate behaviour, motivation and/or learning context, sometimes in response to the context. This study adds to the current HE research investigating students’ abilities to reflect on, assess and take control of their learning in an effective way, confirming that students need explicit guidance.

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