International Handbook of Metacognition and Learning Technologies

  • Roger Azevedo
  • Vincent Aleven

Part of the Springer International Handbooks of Education book series (SIHE, volume 28)

Table of contents

  1. Front Matter
    Pages i-lii
  2. Models and Components of Metacognition

  3. Assessing and Modeling Metacognitive Knowledge and Skills

    1. Front Matter
      Pages 95-95
    2. Ryan S. J. d. Baker, A. T. Corbett, I. Roll, K. R. Koedinger, V. Aleven, M. Cocea et al.
      Pages 97-115
    3. Jeffrey A. Greene, Kristin R. Dellinger, Banu Binbaşaran Tüysüzoğlu, Lara-Jeane Costa
      Pages 117-128
    4. Maria Opfermann, Katharina Scheiter, Peter Gerjets, Annett Schmeck
      Pages 129-141
  4. Scaffolding Metacognition and Learning with Hypermedia and Hypertext

    1. Front Matter
      Pages 169-169
    2. Maria Bannert, Christoph Mengelkamp
      Pages 171-186
    3. Geraldine Clarebout, Jan Elen, Norma A. Juarez Collazo, Griet Lust, Lai Jiang
      Pages 187-195
    4. Susanne P. Lajoie, Laura Naismith, Eric Poitras, Yuan-Jin Hong, Ilian Cruz-Panesso, John Ranellucci et al.
      Pages 229-242
    5. Sadhana Puntambekar, Sarah A. Sullivan, Roland Hübscher
      Pages 261-275
    6. Philip H. Winne, Allyson F. Hadwin
      Pages 293-308
  5. Intelligent Tutoring Systems and Tutorial Dialogues Systems

  6. Multi-agent Systems to Measure and Foster Metacognition and Self-Regulated Learning

    1. Front Matter
      Pages 425-425
    2. Roger Azevedo, Jason Harley, Gregory Trevors, Melissa Duffy, Reza Feyzi-Behnagh, François Bouchet et al.
      Pages 427-449
    3. John S. Kinnebrew, Gautam Biswas, Brian Sulcer, Roger S. Taylor
      Pages 451-470
    4. James C. Lester, Bradford W. Mott, Jennifer L. Robison, Jonathan P. Rowe, Lucy R. Shores
      Pages 471-483
  7. Individual and Collaborative Learning in Classroom Settings

    1. Front Matter
      Pages 501-501
    2. Philip C. Abrami, Eva M. Bures, Einat Idan, Elizabeth Meyer, Vivek Venkatesh, Anne Wade
      Pages 503-515
    3. Jennifer L. Chiu, Jennifer King Chen, Marcia C. Linn
      Pages 517-531
    4. Bridget Dalton, Annemarie Sullivan Palincsar
      Pages 533-544
    5. Ashok K. Goel, Spencer Rugaber, David A. Joyner, Swaroop S. Vattam, Cindy E. Hmelo-Silver, Rebecca Jordan et al.
      Pages 545-559
    6. Inge Molenaar, Carla van Boxtel, Peter Sleegers
      Pages 561-574
    7. Wouter van Joolingen, Ton de Jong
      Pages 589-600
    8. Giuliana Dettori, Valentina Lupi
      Pages 615-625
  8. Motivation and Affect: Key Processes in Metacognition and Self-Regulated Learning

About this book


Education in today's technologically advanced environments makes complex cognitive demands on students pre-learning, during, and post-learning. Not surprisingly, these analytical learning processes--metacognitive processes--have become an important focus of study as new learning technologies are assessed for effectiveness in this area.

Rich in theoretical models and empirical data, the International Handbook of Metacognition and Learning Technologies synthesizes current research on this critical topic. This interdisciplinary reference delves deeply into component processes of self-regulated learning (SRL), examining theories and models of metacognition, empirical issues in the study of SRL, and the expanding role of educational technologies in helping students learn. Innovations in multimedia, hypermedia, microworlds, and other platforms are detailed across the domains, so that readers in diverse fields can evaluate the theories, data collection methods, and conclusions. And for the frontline instructor, contributors offer proven strategies for using technologies to benefit students at all levels. For each technology covered, the Handbook:

  • Explains how the technology fosters students' metacognitive or self-regulated learning.
  • Identifies features designed to study or support metacognitve/SRL behaviors.
  • Reviews how its specific theory or model addresses learners' metacognitive/SRL processes.
  • Provides detailed findings on its effectiveness toward learning.
  • Discusses its implications for the design of metacognitive tools.
  • Examines any theoretical, instructional, or other challenges.

These leading-edge perspectives make the International Handbook of Metacognition and Learning Technologies a resource of great interest to professionals and researchers in science and math education, classroom teachers, human resource researchers, and industrial and other instructors.


ACT-R CTML SRL artifacts cognitive disequilibrium cognitive flexibility theory cognitive load theory complex systems conceptual change construction and integration model discovery learning educational data mining flow theory help-seeking behavior human tutoring learning outcomes machine learning metacognition metareasoning process data self-report measures theory of mind transfer of skills

Editors and affiliations

  • Roger Azevedo
    • 1
  • Vincent Aleven
    • 2
  1. 1.Department of Educational and CounselingMcGill University Department of Educational and CounselingMontrealCanada
  2. 2.Human-Computer Interaction Inst.Carnegie Mellon University Human-Computer Interaction Inst.PittsburghUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-1-4419-5545-6
  • Online ISBN 978-1-4419-5546-3
  • Series Print ISSN 2197-1951
  • Series Online ISSN 2197-196X
  • Buy this book on publisher's site