Supporting Self-Regulated Learning with gStudy Software: The Learning Kit Project **

Published on Jan 1, 2006
Philip H. Winne67
Estimated H-index: 67
,
John C. Nesbit24
Estimated H-index: 24
+ 4 AuthorsN Ancy E. Perry1
Estimated H-index: 1
Source
Abstract
We assume learners mediate instruction and self-regulate learning. Togather fine-grained time-sequenced data that trace these processes, theLearning Kit Project is developing software, called gStudy. Using cog-nitive tools in gStudy, learners can make notes, create glossaries, labeland index content, construct concept maps, search for information, chatand collaborate, and receive coaching. Each of gStudy’s tools is designedon the basis of prior research to scaffold learning and help learnersenhance self-regulated learning as they investigate study tactics andlearning strategies. We describe the software’s features and survey someof its foundations in research.
📖 Papers frequently viewed together
758 Citations
2,343 Citations
782 Citations
References12
Newest
#1Philip H. Winne (SFU: Simon Fraser University)H-Index: 67
366 Citations
#1Monique BoekaertsH-Index: 55
#2Paul R. PintrichH-Index: 71
Last. Moshe ZeidnerH-Index: 61
view all 3 authors...
Foreword. About the Editors. Contributors. M. Boekaerts, P.R. Pintrich, and M. Zeidner, Self-Regulation: An Introductory Overview. General Theories and Models of Self-Regulation: B.J. Zimmerman, Attaining Self-Regulation: A Social Cognitive Perspective. C.S. Carver and M.F. Scheier, On the Structure of Behavioral Self-Regulation. J.Y. Shah and A.W. Kruglanski, Aspects of Goal Networks: Implications for Self-Regulation. J. Kuhl, A Functional-Design Approach to Motivation and Self-Regulation: The ...
2,311 Citations
#1Philip H. Winne (SFU: Simon Fraser University)H-Index: 67
#2Nancy E. Perry (UBC: University of British Columbia)H-Index: 17
Publisher Summary Research on self-regulated learning (SRL) and measurement protocols used in this chapter are relatively new and inherently intertwined enterprises. Each helps to bootstrap the other. One adopts the view that a measurement protocol is an intervention in an environment, disturbing it in a fashion that causes data to be generated. Using that data and logic of causal inference, he/she infers properties and qualities of a target of measurement. Thus, measurement involves understandi...
782 CitationsSource
Self-regulated learning (SRL) is a pivot upon which students’ achievement turns. We explain how feedback is inherent in and a prime determiner of processes that constitute SRL, and review areas of research that elaborate contemporary models of how feedback functions in learning. Specifically, we begin by synthesizing a model of self-regulation based on contemporary educational and psychological literatures. Then we use that model as a structure for analyzing the cognitive processes involved in s...
1,859 CitationsSource
#1Philip H. Winne (SFU: Simon Fraser University)H-Index: 67
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 g...
475 CitationsSource
#1Roger H. BruningH-Index: 1
1. Introduction to Cognitive Psychology. PART ONE: INFORMATION PROCESSING THEORY. 2. Sensory, Short-Term, and Working Memory. 3. Long-Term Memory: Structures and Models. 4. Encoding Processes. 5. Retrieval Processes. PART TWO: BELIEFS AND COGNITION. 6. Beliefs about Self. 7. Beliefs about Intelligence and Knowledge. PART THREE: FOSTERING COGNITIVE GROWTH. 8. Problem Solving and Critical Thinking. 9. Classroom Contexts for Cognitive Growth. 10. Technological Contexts for Cognitive Growth. PART FO...
620 Citations
43 Citations
#1Philip H. Winne (SFU: Simon Fraser University)H-Index: 67
Research and development of instructional computing systems (ICSs) are exploring the frontiers of knowledge in both computing and instructional sciences. While these efforts are slowly advancing knowledge, they have not yet produced practical ICSs that can be readily used in educational settings. I propose a retreat to regions where knowledge is relatively more firmly established, regions I call “merely” state-of-the-art. Specifically, a state-of-the-art ICS would be built on knowledge of comput...
27 CitationsSource
20 CitationsSource
#1Philip H. Winne (SFU: Simon Fraser University)H-Index: 67
Prior research on learning from instruction has used a three-stage model of effects. The model posits that (1) an instructional stimulus cues the learner to use particular cognitive processes to operate on content, (2) these operations are executed, and (3) the result facilitates learning. While theories focus on all three stages, experiments have provided only indirect evidence about how well each is accomplished and rarely have controlled directly all three key sources of variance. An illustra...
100 CitationsSource
Cited By84
Newest
#1Stijn Van Laer (Katholieke Universiteit Leuven)H-Index: 5
#2Jan Elen (Katholieke Universiteit Leuven)H-Index: 30
Blended forms of learning have become increasingly popular. However, it remains unclear under what circumstances blended learning environments are successful. Studies suggest that blended learning challenges learners’ self-regulation. Yet little is known about what self-regulatory behaviour learners exhibit in such environments. This limited understanding is problematic since this insight is needed for effective designs. Therefore, the aim of this study was to identify learners’ self-regulatory ...
7 CitationsSource
#1Gayane Sedrakyan (UGent: Ghent University)H-Index: 11
#2Jonna Malmberg (University of Oulu)H-Index: 19
Last. Paul A. Kirschner (Open University in the Netherlands)H-Index: 96
view all 5 authors...
Abstract Technological advancements have generated a strong interest in exploring learner behavior data through learning analytics to provide both learner and instructor with process-oriented feedback in the form of dashboards. However, little is known about the typology of dashboard feedback relevant for different learning goals, learners and teachers. While most dashboards and the feedback that they give are based only on learner performance indicators, research shows that effective feedback n...
36 CitationsSource
#1John B. Holbein (UVA: University of Virginia)H-Index: 8
#2D. Sunshine Hillygus (Duke University)H-Index: 19
In 2016, 90% of young Americans reported an interest in politics. 80% intended to vote. Yet only 43% of people between the ages of 18 and 29 ended up actually casting a ballot. Making Young Voters investigates what lies at the core of this gap. The authors' in-depth, interdisciplinary approach reveals that political apathy is not the reason for low levels of youth turnout. Rather, young people too often fail to follow through on their political interests and intentions. Those with 'noncognitive'...
2 Citations
#1Jaclyn BroadbentH-Index: 16
#2Ernesto Panadero (Ikerbasque)H-Index: 26
Last. Paula de BarbaH-Index: 9
view all 4 authors...
This chapter explores how technologies may enhance SRL in online learning environments. This chapter first gives an overview of self-regulated learning theory and discusses how SRL may differ in online and face-to-face contexts. It then explores how educational and communication technologies can be used to help students develop SRL, either prior to or outside of course instruction or as technology embedded within online learning environments and used during learning. Ready-made online tools such...
1 CitationsSource
#1Rex P. Bringula (Ateneo de Manila University)
Source
#1Cheng-Yu Chung Cidse (ASU: Arizona State University)
#2I-Han Hsiao Cidse (ASU: Arizona State University)
This Research Full Paper investigates potential quantitative self-regulated learning (SRL) analytics of problemsolving behaviors on a multiple-choice question (MCQ) platform. Conventionally, SRL skills are assessed by qualitative and selfreport instruments which can provide insightful details of SRL behaviors. Nevertheless, such kind of tools might be under criticism of reproducibility and lack scalability. Additionally, it is difficult to provide real-time feedback based on such measurements si...
Source
#1Sanne F. E. Rovers (UM: Maastricht University)H-Index: 3
#2Geraldine Clarebout (UM: Maastricht University)H-Index: 5
Last. Jeroen J. G. van Merriënboer (UM: Maastricht University)H-Index: 87
view all 5 authors...
Although self-regulated learning (SRL) is becoming increasingly important in modern educational contexts, disagreements exist regarding its measurement. One particularly important issue is whether self-reports represent valid ways to measure this process. Several researchers have advocated the use of behavioral indicators of SRL instead. An outstanding research debate concerns the extent to which it is possible to compare behavioral measures of SRL to traditional ways of measuring SRL using self...
25 CitationsSource
#1Aditi Ramachandran (Yale University)H-Index: 9
#2Chien-Ming Huang (Johns Hopkins University)H-Index: 13
Last. Brian Scassellati (Yale University)H-Index: 55
view all 3 authors...
Personalized learning environments have the potential to improve learning outcomes for children in a variety of educational domains, as they can tailor instruction based on the unique learning needs of individuals. Robot tutoring systems can further engage users by leveraging their potential for embodied social interaction and take into account crucial aspects of a learner, such as a student’s motivation in learning. In this article, we demonstrate that motivation in young learners corresponds t...
2 CitationsSource
#1Gayane Sedrakyan (Katholieke Universiteit Leuven)H-Index: 11
#2Erik Mannens (UGent: Ghent University)H-Index: 18
Last. Katrien Verbert (Katholieke Universiteit Leuven)H-Index: 34
view all 3 authors...
Abstract Learning dashboards are known to improve decision-making by visualizing learning processes and helping to track where learning processes evolve as expected and where potential issues (may) occur. Despite the popularity of such dashboards, little is known theoretically on the design principles. Our earlier research reports on the gap between dashboards’ design and learning science concepts, subsequently proposing a conceptual model that links dashboard design principles with learning pro...
9 CitationsSource
#1Hanna Järvenoja (University of Oulu)H-Index: 20
#2Jonna Malmberg (University of Oulu)H-Index: 19
Last. Heikki Kontturi (University of Oulu)H-Index: 1
view all 5 authors...
ABSTRACTThis study explores fluctuation in students’ emotional state and motivational goals during a learning project that requires self-regulation. The research asks the following questions: (1) How do students’ emotional state and motivational goal fluctuate between the gStudy learning sessions during a two-month project? (2) How do students with different situational motivation describe their use of motivation regulation strategies? and (3) How is students’ situational motivation associated w...
2 CitationsSource