Epilogue for the IJSME Special Issue: Metacognition for Science and Mathematics Learning in Technology-Infused Learning Environments

Epilogue for the IJSME Special Issue: Metacognition for science and mathematics learning in technology-infused learning environments

[1]  J. Sweller COGNITIVE LOAD THEORY, LEARNING DIFFICULTY, AND INSTRUCTIONAL DESIGN , 1994 .

[2]  Philip H. Winne,et al.  Studying as self-regulated learning. , 1998 .

[3]  J. Frederiksen,et al.  Inquiry, Modeling, and Metacognition: Making Science Accessible to All Students , 1998 .

[4]  D. Kuhn A Developmental Model of Critical Thinking , 1999 .

[5]  E. Deci,et al.  Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. , 2000, The American psychologist.

[6]  Philip H. Winne,et al.  Measuring Self-Regulated Learning , 2000 .

[7]  P. Pintrich The role of goal orientation in self-regulated learning. , 2000 .

[8]  Jodie A. Baird,et al.  Executive Attention and Metacognitive Regulation , 2000, Consciousness and Cognition.

[9]  B. Zimmerman,et al.  Self-regulated learning and academic achievement : theoretical perspectives , 2001 .

[10]  B. Zimmerman Becoming a Self-Regulated Learner: An Overview , 2002 .

[11]  E. Davis Prompting Middle School Science Students for Productive Reflection: Generic and Directed Prompts , 2003 .

[12]  Roger Azevedo,et al.  Does adaptive scaffolding facilitate students ability to regulate their learning with hypermedia? q , 2004 .

[13]  B. Hofer Introduction: Paradigmatic Approaches to Personal Epistemology , 2004 .

[14]  J. Frederiksen,et al.  A Theoretical Framework and Approach for Fostering Metacognitive Development , 2005 .

[15]  Sadhana Puntambekar,et al.  Designing Navigation Support in Hypertext Systems Based on Navigation Patterns , 2005 .

[16]  Kallen E. Tsikalas,et al.  Can Computer-Based Learning Environments (CBLEs) Be Used as Self-Regulatory Tools to Enhance Learning? , 2005 .

[17]  Roger Azevedo,et al.  Adaptive Human Scaffolding Facilitates Adolescents’ Self-regulated Learning with Hypermedia , 2005 .

[18]  A. Renkl,et al.  Do learning protocols support learning strategies and outcomes? The role of cognitive and metacognitive prompts , 2007 .

[19]  T. Jong,et al.  Software scaffolds to promote regulation during scientific inquiry learning , 2007 .

[20]  Krista R. Muis The Role of Epistemic Beliefs in Self-Regulated Learning , 2007 .

[21]  Philip H. Winne,et al.  Using a multitrait-multimethod analysis to examine conceptual similarities of three self-regulated learning inventories. , 2007, The British journal of educational psychology.

[22]  Fielding I. Winters,et al.  Self-Regulation of Learning within Computer-based Learning Environments: A Critical Analysis , 2008 .

[23]  Daniel L. Dinsmore,et al.  Focusing the Conceptual Lens on Metacognition, Self-regulation, and Self-regulated Learning , 2008 .

[24]  Matthias Nückles,et al.  Short-term versus long-term effects of cognitive and metacognitive prompts in writing-to-learn , 2008, ICLS.

[25]  Roger Azevedo,et al.  Exploring the fluctuation of motivation and use of self-regulatory processes during learning with hypermedia , 2008 .

[26]  E. Fox,et al.  Metacognition and Self-Regulation in James, Piaget, and Vygotsky , 2008 .

[27]  Avi Kaplan Clarifying Metacognition, Self-Regulation, and Self-Regulated Learning: What’s the Purpose? , 2008 .

[28]  Daniel C. Moos,et al.  Measuring Cognitive and Metacognitive Regulatory Processes During Hypermedia Learning: Issues and Challenges , 2010 .

[29]  G. Sinatra,et al.  Epistemology, metacognition, and self-regulation: musings on an emerging field , 2010 .

[30]  Ruth Cobos Pérez,et al.  Promoting metacognitive skills through peer scaffolding in a CSCL environment , 2010, Int. J. Comput. Support. Collab. Learn..

[31]  Ming Ming Chiu,et al.  Scaffolding of small groups’ metacognitive activities with an avatar , 2011, Int. J. Comput. Support. Collab. Learn..

[32]  L. Yore,et al.  Toward Convergence of Critical Thinking, Metacognition, and Reflection: Illustrations from Natural and Social Sciences, Teacher Education, and Classroom Practice , 2012 .

[33]  Johan van Braak,et al.  Supporting self-regulated learning in computer-based learning environments: systematic review of effects of scaffolding in the domain of science education , 2012, J. Comput. Assist. Learn..

[34]  Peg A Ertmer,et al.  Open Learning Environments, Foundations, Methods, and Models , 2012 .

[35]  Rainer Bromme,et al.  Is adaptation to task complexity really beneficial for performance , 2012 .

[36]  U. Ramnarain Metacognition in Science Education: Trends in Current Research , 2012 .

[37]  A. Zohar,et al.  Metacognition in Science Education , 2012 .

[38]  Y. Dori,et al.  Metacognition in science education : trends in current research , 2012 .

[39]  Brianna Scott,et al.  Metacognition : A Biased Competition Model 1 Metacognition : A Closed-Loop Model of Biased Competition Evidence from Neuroscience , Cognition , and Instructional Research , 2011 .

[40]  Vincent Aleven,et al.  Modeling and Studying Gaming the System with Educational Data Mining , 2013 .

[41]  Jeffrey A. Greene,et al.  A Two-Tiered Approach to Analyzing Self-Regulated Learning Data to Inform the Design of Hypermedia Learning Environments , 2013 .

[42]  S. Järvelä,et al.  New Frontiers: Regulating Learning in CSCL , 2013 .

[43]  A. Zohar,et al.  A review of research on metacognition in science education: current and future directions , 2013 .

[44]  Gautam Biswas,et al.  Analyzing the temporal evolution of students’ behaviors in open-ended learning environments , 2014 .

[45]  Jonna Malmberg,et al.  Elementary school students’ strategic learning: does task-type matter? , 2013, Metacognition and Learning.

[46]  O. R. Anderson,et al.  Neuroscience Perspectives for Science and Mathematics Learning in Technology-Enhanced Learning Environments , 2014 .

[47]  Chia-Yu Wang Exploring General Versus Task-Specific Assessments of Metacognition in University Chemistry Students: A Multitrait–Multimethod Analysis , 2015 .

[48]  R. Azevedo Defining and Measuring Engagement and Learning in Science: Conceptual, Theoretical, Methodological, and Analytical Issues , 2015 .

[49]  Benjamin C. Heddy,et al.  The Challenges of Defining and Measuring Student Engagement in Science , 2015 .

[50]  Y. Hsu,et al.  Exploring the Impacts of Cognitive and Metacognitive Prompting on Students’ Scientific Inquiry Practices Within an E-Learning Environment , 2015 .

[51]  Sufen Chen,et al.  CONTENT ANALYSIS OF 1998–2012 EMPIRICAL STUDIES IN SCIENCE READING USING A SELF-REGULATED LEARNING LENS , 2016 .

[52]  C. Chiu,et al.  Collaboration Scripts for Enhancing Metacognitive Self-regulation and Mathematics Literacy , 2016 .

[53]  J. V. Velzen Eleventh-Grade High School Students’ Accounts of Mathematical Metacognitive Knowledge: Explicitness and Systematicity , 2016 .

[54]  Sufen Chen,et al.  The Effect of Metacognitive Scaffolds on Low Achievers’ Laboratory Learning , 2016 .

[55]  Chin-Chung Tsai,et al.  The Intellectual Structure of Metacognitive Scaffolding in Science Education: A Co-citation Network Analysis , 2015, International Journal of Science and Mathematics Education.

[56]  Cathleen C. Loving,et al.  Exploring the Relationship Between High School Students’ Physics-Related Personal Epistemologies and Self-regulated Learning in Turkey , 2015, International Journal of Science and Mathematics Education.