Toward an Integrated Model of Student Learning in the College Classroom

In the last special issue devoted to this topic, Pintrich (Educ Psychol Rev 16:385–407, 2004) provided an in-depth critique of his conceptual framework on self-regulated learning (SRL), comparing and contrasting it to Biggs’ student approaches to learning (SAL) perspective. Since then, there have been a number of advances in the study of learning in higher education. To that end, the purpose of this article is to provide a critical analysis of three distinct yet overlapping streams of research in higher education, namely SRL, patterns of learning (including SAL), and student engagement. The theoretical bases of each of these approaches are outlined followed by a review of recent trends. Finally, an integrative model of student learning is proposed, which draws on the strengths of each of these traditions.     

A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students

A conceptual framework for assessing student motivation and self-regulated learning in the college classroom is presented. The framework is based on a self-regulatory (SRL) perspective on student motivation and learning in contrast to a student approaches to learning (SAL) perspective. The differences between SRL and SAL approaches are discussed, as are the implications of the SRL conceptual framework for developing instruments to assess college student motivation and learning. The conceptual framework may be useful in guiding future research on college student motivation and learning.     

Future time orientation and learning conceptions: effects on metacognitive strategies,self-efficacy beliefs,study effort and academic achievement

During the past decade, research on the constructive learning process has been conducted mainly from two perspectives: student approaches to learning (SAL) and self-regulated learning (SRL). The SAL perspective has highlighted the role of learning conceptions with respect to other topics involved in constructive learning processes, whereas recently the SAL perspective has emphasised the effects of the future time perspective (FTP) and self-efficacy beliefs about these topics. Based on these two lines of research (SRL and SAL), using path analysis, we explored the direct and indirect effects of FTP and learning conceptions on self-efficacy, metacognitive strategies, effort and academic performance. Likewise, we identified some patterns that combine specific factors related to these variables. Participants in the present study were 100 (84% females, 16% males) Spanish fourth year university students enrolled in the Social Sciences Degree Programme. The ages of the students ranged from 18 to 49 (M = 22.02; SD = 3.68) and their participation was voluntary and anonymous. Likert-scale inventories were used to obtain data from students: FTP; learning conceptions; metacognitive strategies scale; and self-efficacy beliefs for SAL. On the one hand, the path analysis showed interesting indirect and direct relationships between topics with regard to key constructs of each of these research perspectives (SRL/SAL). However, these results do not coincide with the body of knowledge about FTP. On the other hand, results obtained using cluster and discriminant analysis revealed three specific patterns: a meaning orientation to learning and the future, a reproductive orientation to learning and the present, and an unusual pattern explained by the influence of historical-cultural characteristics on learning practices in educational contexts. We consider that this last pattern presents relevant implications for educational practice.     

Synthesizing research evidence on self-regulated learning and academic achievement in online and blended learning environments: A scoping review

The present study synthesizes research evidence on self-regulated learning (SRL) and academic achievement in online and blended learning environments from intervention and cross-sectional studies. We examined 163 studies conducted in various countries and different learning contexts in terms of study characteristics, methodology, and SRL features. The current study found that SRL in the online and blended learning contexts has been an important topic and has received increased attention. The results revealed the importance of SRL for improving students' academic performance in the STEM field. It also demonstrated that the majority of the studies adopted multiple SRL strategies throughout mixed phases. This study confirmed the effectiveness of SRL on academic achievement in online or blended learning. However, the present study also identified that research on children's and adolescents' SRL strategies in online learning contexts is urgently needed and most of the available research did not focus on the preparatory and planning phases of SRL which are extremely important.     

Self-Regulation of Learning within Computer-based Learning Environments: A Critical Analysis

Computer-based learning environments (CBLEs) present important opportunities for fostering learning; however, studies have shown that students have difficulty when learning with these environments. Research has identified that students’ self-regulatory learning (SRL) processes may mediate the hypothesized positive relations between CBLEs and academic performance. In this review, we identified 33 empirical studies of SRL and CBLEs. We address three research questions: (1) How do learner and task characteristics relate to students’ SRL with CBLEs? (2) Can various learning supports or conditions enhance the quality of students’ SRL as they learn with CBLEs? (3) What conceptual, theoretical, and methodological issues exist for this growing area of research? We found evidence that specific SRL processes are more often associated with academic success than others and that SRL skills can be supported. We also identified a number of issues that researchers should aim to address in future investigations, including a more comprehensive measurement of facets of SRL and the quality of SRL processes, the seeming disconnect between SRL processes and learning outcomes, and the distinction between self- and other-regulation. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

An Exploratory Study of the Effect a Self-Regulated Learning Environment Has on Pre-Service Primary Teachers' Perceptions of Teaching Science and Technology

The effects of a Self Regulated Learning (SRL) environment on pre-service primary teachers of Science and Technology were investigated in this exploratory study. A representative sample of teachers was interviewed about their experience and how it impacted on them pedagogically, affectively, conceptually and metacognitively. The preliminary results suggest that students' understanding of how to implement activity-based learning was enhanced by the SRL environment. Additionally they claimed to be more confident about their ability to teach. However, conceptual understanding did not appear to improve. These findings will inform a larger study involving SRL that will also address the issue of subject content knowledge and attempt to develop overall teaching competence in primary Science and Technology.     

Domain-specificity of self-regulated learning processing in science and history

As computer-based learning environments grow in prominence, so do the demands placed upon students to learn with these tools. Empirical research has shown that students who are effective at self-regulating their learning are more likely to acquire deep conceptual understanding while using these environments. However, there is a noticeable lack of research into the degree to which self-regulated learning (SRL) is domain-specific. Investigating this theoretical question about domain-specificity results in related questions about how to best capture and model SRL. To address these concerns, we randomly assigned college students to either a science or history digital library, and used think-aloud protocol (TAP) data to examine the degree to which SRL processing predicted knowledge gains, above and beyond the effects of prior knowledge. We examined multiple methods of aggregating SRL TAP data into analysis variables, to determine which would be the most predictive of learning gains, and then tested these findings using a sample from a second study. In addition, we tested whether the frequency of SRL processing differed by academic domain. We found that data-driven aggregation methods were the most effective at predicting learning gains, and that there were both intriguing similarities in SRL processing across domains (e.g., the importance of corroborating sources) as well as differences (e.g., the predictive validity of self-questioning). Our findings have implications for how to capture and model SRL processing, as well as how to foster SRL among those students who do not yet enact it effectively on their own.     

A framework for classroom assessment,learning, and self-regulation

ABSTRACT

We present a conceptual framework that leverages synergies between classroom assessment (CA) practices and self-regulated learning (SRL) theory to support academic growth and instruction. We articulate the processes shared by CA and SRL, drawing on a model of SRL with three phases: forethought, performance, and self-reflection. We blend this SRL model with CA to create the CA:SRL framework in four stages: (1) pre-assessment, (2) the cycle of learning, doing, and assessing, (3) formal assessment, and (4) summarizing assessment evidence. We elucidate how SRL processes are involved at each stage and can be drawn on to support learning development and teacher understanding and co-regulation of learning. This framework is important in that it depicts how assessment and learning processes interact dynamically for both teachers and students in classrooms, and demonstrates that such interactions encompass the full breadth of purposes in CA, from planning through summation of evidence.     

The study of teachers' written feedback to students' writing: changes in theoretical considerations and the expansion of research contexts

This paper identifies four successive phases in the study of written feedback to students' compositions. The studies included in these phases are distinguished by views of writing instruction reflected in their theoretical frameworks: the view of writing instruction as a series of teacher provided stimuli and students' responses to these stimuli; the view that the writing class is a rhetorical community, where teacher and students interact as readers and writers over texts; the view of learning to write as a phenomenon both natural and problematic, where school may interfere with students' natural development; the view that learning to write, like all other learning, depends on successful student-teacher interactions within student's zone of proximal development. While reviewing recent studies of written feedback, the paper shows how these changing views of writing instruction are accompanied by changing theoretical perspectives for the study of the provision and processing of written feedback as well as by a gradual expansion of research contexts for looking at this problem. Finally, in view of such a line of development, it suggests an agenda for future research.     

Inherent details in self-regulated learning

Self-regulated learning (SRL) has become a pivotal construct in contemporary accounts of effective academic learning. I examine several areas of theory and empirical research, which are not prominently cited in educational psychology's research into SRL, that reveal new details of what SRL is and how students develop productive SRL. I interpret findings from these investigations to suggest that nondeliberative, knowledge-based elements are inherent in the processes of SRL, and in learning more generally. Several topics for future research are sketched based on an assumption that learning effectively by oneself will remain a goal of education and can be an especially revealing context in which to research SRL.     

Exploring autonomous learning capacity from a self-regulated learning perspective using learning analytics

Practising self-regulated learning (SRL) has been proposed to develop learning autonomy. However, there is lack of empirical evidence on how SRL strategies affect autonomous learning capacity. This study attempts to bridge that gap by utilizing the learners’ trace data for measuring the learners’ autonomous interactions, and investigates the effects of four SRL strategies on learners’ autonomous choices. The goal is to explain how the employed SRL strategies impact autonomous control (in terms of frequencies of self-enforced decisions, as well as time-spent on decision making). The results from an exploratory study with undergraduate learners (N = 113) shown that goal-setting and time-management have strong positive effects on autonomous control, effort-regulation moderately positively affects learners’ autonomy, while help-seeking has a strong negative effect. These findings provide empirical evidence and contribute to clarifying the role of each one of the SRL strategies in the development of autonomous learning capacity, from a learning analytics perspective. Limitations and potential implications for research and practice are also discussed.     

Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis

It is often assumed that interventions aimed at supporting students’ self-regulated learning (SRL) are effective for improving achievement because these interventions support SRL activity. In this study, meta-analytic structural equation modeling (MASEM) was used to test whether SRL activity indeed mediates the effect of SRL interventions on achievement in higher education. Contrary to popular belief, the results only provide evidence for partial mediation. Furthermore, three separate meta-analyses were performed to investigate the role of possible moderators of the relations between: (1) SRL interventions and achievement, (2) SRL interventions and SRL activity, and (3) SRL activity and achievement. Although SRL interventions were effective in improving SRL activity and achievement, most of the study, measurement, and intervention moderators did not explain significant variance of the investigated effect sizes. Other factors, such as task motivation and time on task, potentially influence the effectiveness of SRL interventions. Practical, theoretical and methodological implications are provided.     

Towards a theoretical basis for students' alternative frameworks in science and for science teaching

As there is nothing as practical as a good theory, there is a continuing need in the field of science education enquiry to look for theories which help to interpret the findings about students' alternative frameworks and to inform the design of teaching strategies which relate to a research focus on ‘how the student learns’. The developmental model of cognitive functioning based on the SOLO Taxonomy (Biggs & Collis, 1982) as updated in 1991 (Biggs & Collis, 1991; Collis & Biggs, 1991) is being applied in this way. Questionnaire data from two large studies of science learning of Australian students (conducted by ACER and NBEET) are being re-analysed in terms of the current theory. This paper illustrates the theory and describes a plan of further research. Specializations: science education, students' understandings of phenomena in science. Specializations: cognitive development, evaluation, mathematics and science education. Specializations: mathematics education, students' understanding of chance and data concepts.     

Integrating Skills and Wills Instruction in Self-Regulated Science Text Reading for Secondary Students

This study investigated the effectiveness of cognitive-metacognitive versus motivational components of the IMPROVE self-regulatory model, used while reading scientific texts, for 10th graders’ scientific literacy and self-regulated learning (SRL). Three treatment groups (N?=?198) received one type of self-addressable questions while reading scientific texts: cognitive-metacognitive (CogMet), motivational (Mot), or combined (CogMetMot). Control group received no self-addressed questions (noSRL). One measure assessed scientific literacy, and two measures assessed SRL: (a) as an aptitude—pre/post questionnaires assessing self-perceived SRL, and (b) as an event—audiotaping participants’ thinking-aloud SRL behaviors in real-time learning experiences and data coding illustrating SRL changes. Findings indicated that treatment groups significantly outperformed the non-treatment group. No differences emerged between CogMet and Mot, whereas fully combined SRL support (CogMetMot) was most effective. Theoretical and practical implications of this preliminary study are discussed.     

Using Web-based Pedagogical Tools as Scaffolds for Self-regulated Learning

The purpose of the present study was to confirm previous research findings that different categories of Web-based pedagogical tools (WBPT) (e.g., collaborative and communication tools, content creation and delivery tools) supported different self-regulated learning (SRL) processes (e.g., goal setting, self-monitoring), and to further examine which WBPT were most effective in supporting student SRL while completing course assignments. The sample surveyed consisted of 65 students enrolled in three distributed courses. A mixed methods methodological approach was implemented. As expected, quantitative analyses confirmed that different WBPT supported different SRL processes. In addition, analyses of qualitative data collected revealed that WBPT were highly effective in activating the use of SRL processes necessary to support specific types of learning tasks required for completion of course assignments. Educational implications for using WBPT as scaffolds for SRL are discussed.     

“Practising what we preach”—teacher educators’ dilemmas in promoting self-regulated learning: a cross case comparison

Teacher educators, as mentors involved in developing student–teacher learning, encounter increasing demands to promote self-regulated learning (SRL) in their students. This study investigated how teacher educators are committed to promoting SRL in their students, as well as how they promote their own professional development as self-regulated learners, which may (or may not) mirror the way they support SRL in their students.In both the Israeli and Dutch teacher education contexts, the study investigated how teacher educators conceptualize SRL and what they mean by actively utilizing SRL approaches, both as a framework for their own professional development and as a way to involve their students in self-directed learning.The study notes several professional dilemmas teacher educators face with respect to SRL. These dilemmas seem to be connected to their underlying conceptions of teaching and learning, as well as the demands of the setting in which they teach. Furthermore, what teacher educators themselves are doing in terms of SRL does not align with what they are teaching others to do; this divergence was the case in the Dutch context more than in the Israeli context. As such, teacher educators struggled with both learning to use SRL approaches themselves, and teaching their students to use them.     

Investigating how college students’ task definitions and plans relate to self-regulated learning processing and understanding of a complex science topic

Winne and Hadwin (2008) identified four phases of self-regulated learning (SRL) including defining the task, setting goals and making plans, studying (i.e., learning), and adaptation. The vast majority of SRL research has focused on processing during the third phase, studying. In this study, we developed coding rubrics that allowed us to examine how the results of college students’ processing during phases one and two of Winne and Hadwin’s model, task definitions and plans, affected their SRL processing while learning with a hypermedia learning environment (HLE), and their subsequent academic performance. Our findings showed that, on average, participants gained both factual knowledge and integrated conceptual understanding over the course of learning with the HLE. The quality of participants’ task definitions and plans at pretest, as well as their SRL processing during learning, were related to learning outcomes. On average, participants’ task definitions improved from pretest to posttest. The findings from this study and the associated coding methodologies have implications for educational research and practice.