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 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.

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 Transforming Pedagogy: Studying the Relationship between Students’ Self-Regulated Learning and Academic Achievement at Higher Education

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Dr. Asia Zulfqar ◽  
◽  
Dr. Bashir Hussain ◽  
Keyword(s):  
Higher Education ◽  
Academic Achievement ◽  
Learning Styles ◽  
Learning Strategies ◽  
Main Hypothesis ◽  
Self Regulated Learning ◽  
Current State ◽  
Regulated Learning ◽  
Prime Objective ◽  
The Difference

Recently an increasing focus has been observed on the learner-centred approaches for their role in preparing more independent and skilful graduates. Of these active learning styles, self-regulated learning has received greater attention in higher education. In this context, it is highly important to examine current state of self-regulated learning adopted by students, along with examining the gender differences and the nature of discipline in adopting self-regulated learning. Considering this situation, the prime objective of the study was to map the link between students' self-regulated learning and their academic achievement in their related disciplines, and on basis of their gender. Using the descriptive design, a quantitative survey was used to collect the data from 300 students of two public sector universities of Pakistan. A questionnaire was adopted to collect data from students to measure their level of adopted self-regulated learning and CGPA. Simple linear regression and t-test and ANOVA were applied to reach to certain results. Our findings rejected the main hypothesis that there is no impact of self-regulated learning on students’ academic achievement. Likewise, this study could not identify the difference in view of adopting self-regulated learning strategies by male and female students at higher education. However, in view of measuring SRL at faculty level, students from the faculty of science adopted self-regulated learning strategies to some extent. Next to concrete discussion in relation to these findings limitations and directions for future researches were stressed.

scholarly journals Comparing crowdworkers’ and conventional knowledge workers’ self-regulated learning strategies in the workplace

2019 ◽  
Vol 6 ◽  
pp. 83-97
Author(s):  
Anoush Margaryan
Keyword(s):  
Learning Strategies ◽  
Incidental Learning ◽  
Knowledge Workers ◽  
Learning Goals ◽  
Future Research ◽  
Self Regulated Learning ◽  
Wide Range ◽  
Significant Difference ◽  
Regulated Learning ◽  
Training Professional

This paper compares the strategies used by crowdworkers and conventional knowledge workers to self-regulate their learning in the workplace. Crowdworkers are a self-employed, radically distributed workforce operating outside conventional organisational settings; they have no access to the sorts of training, professional development and incidental learning opportunities that workers in conventional workplaces typically do. The paper explores what differences there are between crowdworkers and conventional knowledge workers in terms of self-regulated learning strategies they undertake. Data were drawn from four datasets using the same survey instrument. Respondents included crowdworkers from CrowdFlower and Upwork platforms and conventional knowledge workers in the finance, education and healthcare sectors. The results show that the majority of crowdworkers and conventional knowledge workers used a wide range of SRL strategies. Among 20 strategies explored, a statistically significant difference was uncovered in the use of only one strategy. Specifically, crowdworkers were significantly less likely than the conventional workers to articulate plans of how to achieve their learning goals. The results suggest that, despite working outside organisational structures, crowdworkers are similar to conventional workers in terms of how they self-regulate their workplace learning. The paper concludes by discussing the implications of these findings and proposing directions for future research. 

Estratégias de aprendizagem autorregulada e formação inicial de professores de Geografia: uma revisão sistemática de literatura1 | Self-regulated learning strategies and initial education of Geography teachers: A systematic literature review

2020 ◽  
Vol 25 ◽  
pp. 1
Author(s):  
Liz Cristiane Dias ◽  
Evely Boruchovitch
Keyword(s):  
Literature Review ◽  
Learning Strategies ◽  
Systematic Literature Review ◽  
Electronic Library ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
America Latina

Este artigo objetiva averiguar, com base em uma revisão sistemática de literatura, o investimento em estratégias de ensino e aprendizagem autorregulada em cursos de Licenciatura em Geografia. Os dados foram coletados nas bases de dados Scientific Electronic Library Online, Red de Revistas Cientificas de America Latina y el Caribe, España y Portugal e na Plataforma Sucupira da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior em periódicos da Geografia com classificação Qualis A1, A2 e B1 dos últimos cinco anos. A busca pelos trabalhos teve como resultado o total de 154 artigos. Destes, apenas 25 tratavam especificamente da formação inicial de professores e, dentre estes, apenas 8 atendiam às demandas da pesquisa. Os resultados revelaram a necessidade de mais investimento em programas de intervenção em estratégias de aprendizagem e a necessidade de pesquisas futuras que disseminem na Geografia a temática da autorregulação.

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.

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