Examining the relations of time management and procrastination within a model of self-regulated learning

The primary goal of this study was to investigate whether college students’ academic time management could be used to understand their engagement in traditional and active forms of procrastination within a model of self-regulated learning. College students (N = 446) completed a self-report survey that assessed motivational and strategic aspects of self-regulated learning, time management, and procrastination. Results of regression analyses indicated that self-efficacy and metacognitive strategies initially were significant predictors of traditional and active forms of procrastination. Incorporating time management in the analyses increased the amount of the variance explained and, even in the presence of the motivation and strategy variables, time management emerged as an important predictor of both traditional and active forms of procrastination. Findings support the conclusion that academic time management is a key aspect of self-regulated learning and, as such, it can be useful for understanding the extent to which college students procrastinate when doing their academic work.     

Exploring the Relationship Between High School Students’ Physics-Related Personal Epistemologies and Self-regulated Learning in Turkey

This article reports on an empirical exploration of the relations and strengths among Turkish grades 9–11 students’ (n = 209) personal epistemologies (justification of knowledge, certainty of knowledge, source of knowledge, development of knowledge), self-regulated learning (extrinsic motivation, intrinsic motivation, rehearsal, elaboration, organization, critical thinking, metacognitive self-regulation), and achievement in physics (course grades). Established instruments were used to collect data on these students’ beliefs about knowledge and components of self-regulated learning (SRL) such as goal orientations (extrinsic and intrinsic motivation) and learning strategies, critical thinking, and metacognitive regulation. Results from structural equation modeling revealed that students’ personal epistemologies directly influenced their motivation (extrinsic and intrinsic goal orientations), rehearsal and organization strategies, and metacognitive self-regulation to learn physics. Furthermore, students’ personal epistemologies indirectly (mediated through motivation beliefs) influenced rehearsal, elaboration and organization strategies, critical thinking, and metacognitive self-regulation to learn physics. Students’ ideas about knowledge and knowing about the source and development of knowledge significantly contributed to students’ self-regulatory skills and physics course grade. Implications and future directions are discussed.     

Self-regulating academic learning and achievement: The emergence of a social cognitive perspective

For three decades, social cognitive researchers have studied children's development of self-regulation as an achievement of socialization processes. I recount historically the emergence of a social cognitive perspective on self-regulation and identify its unique features. Two essential characteristics of students' self-regulated academic learning have been identified — their use of strategies and perceptions of self-efficacy. A social cognitive model of academic self-regulated learning is proposed that integrates triadic determinants of self-regulated learning (personal, behavioral, and environmental) on the basis of a strategic control loop. When students monitor their responding and attribute outcomes to their strategies, their learning becomes self-regulated, and they display increased self-efficacy, greater intrinsic motivation, and higher academic achievement.     

Effects of motivational regulation strategies on writing performance: a mediation model of self-regulated learning of writing in English as a second/foreign language

Motivational regulation has long been recognized as an essential but insufficiently investigated aspect of self-regulated learning (SRL), especially in relation to learning English-as-a-foreign-language (EFL) writing. This study intends to fill the gap by investigating the predictive effect of motivational regulation strategies on EFL students’ writing performance mediated by SRL strategies. Data were collected from undergraduate students in mainland China (N = 512) through self-report questionnaires and an English writing test. Results of structural equation modeling (SEM) confirmed a partial mediation model in which motivational regulation strategies, as a whole, not only had direct and indirect effects on students’ writing performance but were also significantly correlated with their reported use of SRL strategies relating to cognition, metacognition, and social behavior. In addition, only cognitive and metacognitive strategies were found to be significant mediators in the model while social behavior strategies were not. The findings suggest that cumulative knowledge of motivational regulation is an antecedent of the reported use of other SRL strategies in affecting EFL writing performance. The inclusion of SRL strategies in the mediation model also contributes to a clear understanding of L2 writing processes within the SRL mechanism for improving writing outcomes.     

The differential impact of academic self-regulatory methods on academic achievement among university students with and without learning disabilities

Although research on academic self-regulation has proliferated in recent years, no studies have investigated the question of whether the perceived usefulness and the use of standard self-regulated learning strategies and compensation strategies provide a differential prediction of academic achievement for university students with and without learning disabilities (LD). We developed and tested a model explaining interrelationships among self-regulatory variables and grade point average (GPA) using structural equation modeling and multiple group analysis for students with LD (n = 53) and without LD (n = 421). Data were gathered using a new instrument, the Learning Strategies and Study Skills survey. The results of this study indicate that students with LD differed significantly from students without LD in the relationships between their motivation for and use of standard self-regulated learning strategies and compensation strategies, which in turn provided a differential explanation of academic achievement for students with and without LD. These paths of influence and idiosyncrasies of academic self-regulation among students with LD were interpreted in terms of social cognitive theory, metacognitive theory, and research conducted in the LD field.     

Metacognition, achievement goals, study strategies and academic achievement: pathways to achievement

The purpose of this research was to develop and test a model of effective self-regulated learning. Based on effort expenditure we discerned effective self-regulators and less effective self-regulators. The model comprised achievement goals (mastery, performance-approach and -avoidance goals), metacognition (metacognitive knowledge, regulation and experience), study strategies (metacognitive, deep cognitive, surface cognitive and resource management strategies) and academic achievement. The relationships in the model were tested with controlling for intellectual ability, gender and age. The results showed that effective self-regulated learning involved two pathways: a metacognitive and a strategy pathway. The first pathway involved a positive relationship of mastery goals and a negative relationship of performance-avoidance goals with metacognition. Metacognition positively affected the use of the four study strategies. The strategy pathway involved positive effects of mastery and performance-approach goals on the use of metacognitive and deep cognitive strategies. Further, performance-approach goals positively affected the use of surface cognitive and resource management strategies. The use of metacognitive and resource management strategies had a positive and the use of surface cognitive strategies had a negative effect on exam scores.     

Relationships between teachers’ metacognitive knowledge and students’ metacognitive knowledge and reading achievement

The study examined the relationships between teachers’ metacognitive knowledge of reading strategies and their students’ metacognitive knowledge and reading comprehension. The study was carried out among language art teachers (N?=?34) and their students (N?=?534) in the last year of primary school (ninth grade) in Estonia. Multilevel modeling was used to test the hypotheses of relationships between students’ metacognitive knowledge and reading comprehension, while controlling for students’ previous reading comprehension (in eighth grade) as well as the relations between teachers’ metacognitive knowledge of reading strategies and students’ metacognitive knowledge and comprehension. The results showed that students’ metacognitive knowledge of reading strategies related to their reading comprehension, concurring with previous findings. The main finding was that teachers’ metacognitive knowledge of reading strategies significantly related to their students’ metacognitive knowledge, but not to reading comprehension. These results indicate that students’ reading comprehension may be supported by improving their metacognitive knowledge of reading strategies. In addition, the findings highlight the importance of teachers’ metacognitive knowledge in students’ metacognitive knowledge.     

How can primary school students learn self-regulated learning strategies most effectively?: A meta-analysis on self-regulation training programmes

Recently, research has increasingly focused on fostering self-regulated learning amongst young children. To consider this trend, this article presents the results of a differentiated meta-analysis of 48 treatment comparisons resulting from 30 articles on enhancing self-regulated learning amongst primary school students. Based on recent models of self-regulated learning, which consider motivational, as well as cognitive, and metacognitive aspects [Boekaerts, M. (1999). Self-regulated learning: Where we are today. International Journal of Educational research, 31(6), 445-457], the effects of self-regulated learning on academic achievement, on cognitive and metacognitive strategy application, as well as on motivation were analyzed. As the results show, self-regulated learning training programmes proved to be effective, even at primary school level. Subsequent analysis tested for the effects of several moderator variables, which consisted of study features and training characteristics. Regarding factors that concern the content of the treatment, the impact of the theoretical background that underlies the intervention was tested, as well as the type of cognitive, metacognitive, or motivational strategy which were instructed, and if group work was used as instruction method. Training context related factors, which were included in the analyses consisted of students’ grade level, the length of the training, if teachers or researchers directed the intervention, as well as the school subject in which context the training took place. Following the results of these analyses, a list with the most effective training characteristics was provided.     

Using machine learning to classify reviewer comments in research article drafts to enable students to focus on global revision

Reviewer comments in research articles such as journal papers or dissertations guide students during the revision process to improve the quality of their articles. Our goal is to make the comments more meaningful to the students’ revision process. Revision involves implicit cognitive processes and ICT has the potential to make such processes explicit. Previous research into the cognitive processes involved in revision has shown that novices focus on local, sentence level revision while expert writers focus on global revision of ideas or restructuring of arguments. For better quality writing, students should focus more on global revision. The reviewer comments can either trigger more meaningful global revision (content-related comments) or local revision (non content-related comments). In this paper, a machine learning algorithm was applied to classify the comments in academic drafts in our laboratory as either content-related or not. Reviewer comments in academic article drafts are usually short. Therefore, this research applied a Support Vector Machine (SVM) algorithm for the classification, which is one of the most common machine learning algorithms for short texts. Performance evaluation was based on the measures of accuracy, precision and recall for the non content-related comments. Using cross validation, highest scores of 86%, 89% and 89% were achieved for accuracy, recall, and precision, respectively. The results demonstrate the success of the automatic classification, which can be applied to filter out non content-related comments so that the students focus first on revising the content-related comments. In this way, the students can increase their awareness of the importance of global revision.     

A new perspective on memorization practices among East Asian students based on PISA 2012

Abstract

This study examined learning strategy use in mathematics among East Asian students in East Asian educational systems. By employing latent class analysis on the Programme for International Student Assessment (PISA) 2012 data, we found four classes of learning strategy types, namely memorization with metacognitive strategies (17.49%), metacognitive strategies with memorization (50.70%), elaboration only (10.33%), and metacognitive strategies with elaboration (16.47%). The results showed that the majority of the students in all seven East Asian educational systems belonged to the ‘metacognitive strategies with memorization’ class, and most students adopted more than one type of learning strategy when learning mathematics. Additionally, students who reported the use of metacognitive strategies along with either memorization or elaboration showed higher mathematics achievement. We conclude that the cognitive processes employed by students of East Asian backgrounds are more complex and nuanced than the previous perception that they relied heavily on memorization.     

The relation between high school students' motivational regulation and their use of learning strategies,effort, and classroom performance

This study investigates the relation between students' tendency to self-regulate their level of motivation and other aspects of their self-regulated learning and achievement. Ninth- and tenth-grade students (N = 88) responded to survey items designed to assess five motivational regulation strategies identified in previous research. An exploratory factor analyses of these items revealed distinct, internally consistent scales reflecting the strategies of Self-Consequating, Environmental Control, Performance Self-Talk, Mastery Self-Talk, and Interest Enhancement. Self-report measures of effort, use of six cognitive and metacognitive learning strategies, and teacher-reported grades were also collected. Findings revealed mean level differences in students' reported use of the motivational strategies. In addition, results from a series of multivariate regressions indicated that students' use of motivational regulation strategies could be used to predict their use of learning strategies, effort, and classroom performance. As a whole, findings support the belief that motivational self-regulation should be integrated more completely into current models of volition and self-regulated learning.     

Confused,now what? A Cognitive-Emotional Strategy Training (CEST) intervention for elementary students during mathematics problem solving

We developed a cognitive-emotional strategy training (CEST) intervention to teach fifth-grade students (N = 57) self-regulated learning strategies that can be used when confusion is experienced during mathematics problem solving in addition to strategies they can implement during learning to help solve them. Fifth-grade students were randomly assigned to the intervention condition or the control condition. A think-emote-aloud protocol was administered to capture self-regulatory processes and emotions as students solved a complex mathematics problem. Using an explanatory mixed methods design, results revealed that, compared to students in the control condition, students who received the intervention scored significantly higher on the mathematics problem, implemented more cognitive and metacognitive learning strategies across the four phases of self-regulated learning, expressed more positive emotions and fewer negative emotions, and were better able to regulate and resolve their confusion when it occurred. These results extend previous findings from the strategy instruction literature by incorporating consideration of the role of emotions during learning.     

Enhancing Decision-Making in STSE Education by Inducing Reflection and Self-Regulated Learning

Thoughtful decision-making to resolve socioscientific issues is central to science, technology, society, and environment (STSE) education. One approach for attaining this goal involves fostering students’ decision-making processes. Thus, the present study explores whether the application of decision-making strategies, combined with reflections on the decision-making processes of others, enhances decision-making competence. In addition, this study examines whether this process is supported by elements of self-regulated learning, i.e., self-reflection regarding one’s own performance and the setting of goals for subsequent tasks. A computer-based training program which involves the resolution of socioscientific issues related to sustainable development was developed in two versions: with and without elements of self-regulated learning. Its effects on decision-making competence were analyzed using a pre test-post test follow-up control-group design (N?=?242 high school students). Decision-making competence was assessed using an open-ended questionnaire that focused on three facets: consideration of advantages and disadvantages, metadecision aspects, and reflection on the decision-making processes of others. The findings suggest that students in both training groups incorporated aspects of metadecision into their statements more often than students in the control group. Furthermore, both training groups were more successful in reflecting on the decision-making processes of others. The students who received additional training in self-regulated learning showed greater benefits in terms of metadecision aspects and reflection, and these effects remained significant two months later. Overall, our findings demonstrate that the application of decision-making strategies, combined with reflections on the decision-making process and elements of self-regulated learning, is a fruitful approach in STSE education.     

Disciplinary Differences in Self-Regulated Learning in College Students

The personal attributes of self-regulated learning are often described in terms of knowledge base, adaptive motivational beliefs, and appropriate use of cognitive and metacognitive strategies for learning. These attributes are usually assumed to apply across all disciplines and contexts, but there has been little research that has examined the disciplinary differences in these personal attributes of self-regulated learning. The present study examined college students’ knowledge, motivation, and self-regulatory learning strategies in humanities, social science, and natural science college courses. The sample included 380 college students from three different institutions. Students were given a measure of their course knowledge and a self-report measure of their motivational beliefs and use of self-regulatory strategies at the beginning and end of the semester. Three levels of achievement were created from final course grade and ANOVA's were used to examine the differences in knowledge, motivation, and self-regulation by achievement level and discipline. The results suggest that the components of knowledge, motivation, and self-regulation do distinguish high from low achievers in social and natural science courses, but not in the humanities courses. Results are discussed in terms of the generalizability of our models of self-regulated learning across disciplines and implications for measuring self-regulated learning in different disciplines.     

The role of test hope and hopelessness in self-regulated learning: Relations between volitional strategies,cognitive appraisals and academic achievement

The aim of this study was to examine the relationships amongst students' test emotions of hope and hopelessness, their antecedents of cognitive control and value appraisals and volitional strategies during learning, as well as their effects on academic achievement in the domain of mathematics, using the control–value theoretical framework. Sample consisted of 365 Croatian high school students. Correlational and structural equation analysis substantiated the assumptions concerning the relationships between test emotions, cognitive appraisals, volitional strategies and academic achievement. The results showed that cognitive appraisals partially mediate the relationship between volitional strategies and test emotions, and, further, that hopelessness play a partially mediating role in the relationship between volitional strategies and academic achievement. These findings once again emphasise the complex dynamics of cognitive, emotional and behavioural components of a self-regulated learning process.     

Fostering self-regulation in training complex cognitive tasks

In complex cognitive domains such as air traffic control, professionals must be able to adapt to and act upon continuing changes in a highly advanced technological work environment. To function optimally in such an environment, the controllers must be able to regulate their learning. Although these regulation skills should be part of their training, this is not usually the case. This study evaluates a training program that integrates air traffic control skills with regulation skills. The participants were 29 air traffic control students who followed either the original training program (n = 12) or a new program (n = 17) in which the development of regulation skills was embedded in the training of domain specific skills. Compared to students in the original program, the students in the new program showed increased self-efficacy in the use of self-regulated learning skills with improved performance in domain specific competences. The implications of these findings are discussed with regard to the daily training practice of complex cognitive skills.     

Constructivist learning and openness to diversity and challenge in higher education environments

The increasing calls for diversity research signal a need to explore contemporary learning and instruction strategies that respond to diversity in courses and curricula. The major objective of this research was to measure the level of openness to diversity and challenge (ODC) among college students as a function of their perceived constructivist learning environment in traditional lecture-based courses (LBE) and seminars (SM). The study included 243 undergraduate students. Data were gathered using the Constructivist Learning in Higher Education Settings scale (CLHES), which measures students’ perceptions of the occurrence of constructivist practices in learning environments along three dimensions of constructive activity, teacher–student interaction and social activity, and the Openness to Diversity and Challenge scale. Structural equation modelling (SEM) results indicated a positive connection between the general factor of CLHES and ODC over and above several pre-entry variables such as gender and culture. According to a further SEM analysis, the social activity variable mainly explained the ODC variable whereas the teacher–student interaction factor was mainly connected to the constructive activity variable. Multivariate analysis of variance results indicated that students enrolled in SM perceived this environment as more constructivist and reported having higher levels of feelings of ODC than LBE students. Interpretation of these findings, in conjunction with theory, applications, and implications for future research are discussed.     

Scaffolding cognitive and metacognitive strategy instruction in regular class lessons

The quality of teachers’ knowledge about how people learn influences students’ learning outcomes. Similarly, the quality of students’ knowledge about how they learn influences their engagement in self-regulated learning and consequently, their learning achievement. There is a gap between research findings that support these two premises and teaching–learning practices in classrooms. In this paper we describe attempts to reduce this gap. In Study 1 we surveyed early adolescent students’ cognitive and metacognitive strategy use and demonstrated that students’ cognitive and metacognitive strategy knowledge has substantial room for improvement. In Studies 2 and 3 we collaborated with teachers to embed explicit cognitive and metacognitive strategy instruction, using learning protocols, into regular class lessons. Studies 2 and 3 showed that the learning protocols slipped readily into teachers’ typical lesson designs, scaffolded teachers’ delivery of strategy instruction, and scaffolded some students’ acquisition of strategy knowledge, although progress was sometimes slow. Recommendations are presented for supporting teachers and students to engage with cognitive and metacognitive strategy instruction.     

When is the best time to use rubrics in flipped learning? A study on students’ learning achievement,metacognitive awareness,and cognitive load

ABSTRACT

Rubrics can guide teachers to provide effective feedback and students’ peer- and self-assessment. This paper examines the effect of rubric use in flipped learning activities on students’ learning achievement, metacognitive awareness, and cognitive load through a quasi-experiment. A total of 83 university students were randomly assigned to an experimental group or a control group. The students in the experimental group were given rubrics in performing pre-class learning activities on the cloud platform, while those in the control group used rubrics in post-class assessment and modification of their finished works. The results show that rubric use can assist flipped learning by improving students’ learning achievement and metacognitive awareness, while reducing their cognitive load. Using rubrics before in-class work can yield stronger benefits in raising metacognitive awareness and lessening cognitive load. Moreover, the study reveals that students tend to hold a generally favorable attitude toward rubric use. These findings imply that appropriate use of rubrics in flipped learning has the potential to create a more efficient and learner-friendly condition to enhance self-regulated learning.     

Comparing active delay and procrastination from a self-regulated learning perspective

Researchers have proposed that the act of postponing academic work may be divided into a traditional definition of procrastination, viewed as maladaptive, and adaptive forms of delay. Adaptive forms of delay may be more consistent with certain facets of self-regulated learning. The current study investigated this issue by examining whether the relations between aspects of self-regulated learning and active delay may be distinct from the relations these aspects of self-regulated learning have with procrastination. Among 206 undergraduates, procrastination was positively predicted by mastery-avoidance goals and negatively by metacognitive strategy usage, whereas active delay was negatively predicted by avoidance goals and positively by self-efficacy. Furthermore, students who reported higher levels of active delay also received better grades. These findings provide support that active delay is a distinct form of delay from procrastination that may be more positive due to its associations with some adaptive self-regulatory processes and academic achievement.