International Handbook of the Learning Sciences

<p>The <i>International Handbook of the Learning Sciences </i>is a comprehensive collection of international perspectives on this interdisciplinary field. In more than 50 chapters, leading experts synthesize past, current, and emerging theoretical and empirical directions for learning sciences research. The three sections of the handbook capture, respectively: foundational contributions from multiple disciplines and the ways in which the learning sciences has fashioned these into its own brand of use-oriented theory, design, and evidence; learning sciences approaches to designing, researching, and evaluating learning broadly construed; and the methodological diversity of learning sciences research, assessment, and analytic approaches. This pioneering collection is the definitive volume of international learning sciences scholarship and an essential text for scholars in this area.</p> <p>Foreword, <em>Janet L. Kolodner </em>1. Introduction, <i>Frank Fischer, Susan R. Goldman, Cindy E. Hmelo-Silver and Peter Reimann </i><b>I. Historical Foundations and Theoretical Orientations of the Learning Sciences </b>2. A Short History of the Learning Sciences, <i>Christopher Hoadley </i>3. Epistemic Cognition and Epistemological Development, <i>Clark Chinn and William Sandoval </i>4. Cognitive and Sociocultural Perspective on Learning: Tensions and Synergy in the Learning Sciences, <i>Joshua A. Danish and Melissa Gresalfi </i>5. Apprenticeship Learning, <i>Julia Eberle </i>6. Expertise, <i>Peter Reimann and Lina Markauskaite </i>7. Cognitive Neuroscience Foundations for the Learning Sciences, <i>Sashank Varma, Soo-hyun Im, Astrid Schmied, Kasey Michel and Keisha Varma </i>8. Embodied Cognition in Learning and Teaching: Action, Observation and Imagination, <i>Martha W. Alibali and Mitchell J. Nathan </i>9. Learning from Multiple Sources in a Digital Society, <i>Susan R. Goldman and Saskia Brand-Gruwel </i>10. Multiple Representations and Multimedia Learning, <i>Shaaron Ainsworth </i>11. Learning Within and Beyond the Disciplines, <i>Leslie R. Herrenkohl and Joseph L. Polman </i>12. Motivation, Engagement, and Interest: "In the End, It Came Down to You and How You Think of the Problem", <i>K. Ann Renninger, Yanyan Ren and Heidi M. Kern </i>13. Contemporary Perspectives of Regulated Learning in Collaboration, <i>Sanna Järvelä, Allyson Hadwin, Jonna Malmberg and Mariel Miller </i>14. Collective Knowledge Construction, <i>Ulrike Cress and Joachim Kimmerle </i>15. Learning at Work: Social Practices and Units of Analysis, <i>Sten Ludvigsen and Monika Nerland </i>16. Complex Systems and the Learning Sciences: Implications for Learning, Theory, and Methodologies, <i>Susan A. Yoon </i><b>II. Learning Environments: Designing, Researching, Evaluating </b>17. 4C/ID in the Context of Instructional Design and the Learning Sciences, <i>Jeroen J. G. van Merriënboer and Paul A. Kirschner </i>18. Classroom Orchestration, <i>Pierre Dillenbourg, Luis P. Prieto and Jennifer K. Olsen </i>19. Research on Scaffolding in the Learning Sciences: A Methodological Perspective, <i>Iris Tabak and Eleni A. Kyza </i>20. Example-based Learning, <i>Tamara van Gog and Nikol Rummel </i>21. Learning through Problem Solving, <em>Cindy E. Hmelo-Silver, Manu Kapur and Miki Hamstra </em>22. Inquiry Learning and Opportunities for Technology, <i>Marcia C. Linn, Kevin W. McElhaney, Libby Gerard and Camillia Matuk, </i>23. Supporting Informal STEM Learning with Technological Exhibits: An Ecosystemic Approach, <i>Leilah Lyons </i>24. Intelligent Tutoring Systems, <i>Arthur C. Graesser, Xiangen Hu and Robert Sottilare </i>25. Simulation, Games, and Modeling Tools for Learning, <i>Ton de Jong, Ard Lazonder, Margus Pedaste and Zacharias Zacharia </i>26. Supporting Teacher Learning through Design, Technology, and Open Educational Resources, <i>Mimi Recker and Tamara Sumner </i>27. Games in the Learning Sciences: Reviewing Evidence from Playing and Making Games for Learning, <i>Deborah A. Fields and Yasmin B. Kafai </i>28. The Maker Movement and Learning, <i>Erica Halverson and Kylie Peppler </i>29. Knowledge Building: Theory, Design and Analysis, <i>Carol K. K. Chan and Jan van Aalst</i>30. Collective Inquiry in Communities of Learners, <i>James D. Slotta, Rebecca Quintana and Tom Moher </i>31. Computer-Supported Argumentation and Learning, <i>Baruch Schwarz </i>32. Theoretical and Methodological Frameworks for Computer-Supported Collaborative Learning, <i>Heisawn Jeong and Kylie Hartley </i>33. Scaffolding and Scripting (Computer-Supported) Collaborative Learning, <i>Ingo Kollar, Christof Wecker and Frank Fischer </i>34. Group Awareness Tools for Computer-Supported Collaborative Learning, <i>Daniel Bodemer, Jeroen Janssen and Lenka Schnaubert </i>35. Mobile Computer-Supported Collaborative Learning, <i>Chee-Kit Looi and Lung-Hsiang Wong </i>36. Massive Open Online Courses (MOOCs) and Rich Landscapes of Learning: A Learning Sciences Perspective, <i>Gerhard Fischer </i><b>III. Research, Assessment, and Analytic Methods </b>37. Design-Based Research (DBR), <i>Sadhana Puntambekar </i>38. Design-Based Implementation Research, <i>Barry Fishman and William Penuel </i>39. Participatory Design and the Learning Sciences, <i>Kimberley Gomez, Eleni Kyza and Nicole Mancevice </i>40. Assessment of and for Learning, <i>James W. Pellegrino </i>41. Learning Progressions, <i>Ravit G. Duncan and Ann E. Rivet </i>42. Measuring Competencies, <i>Stefan Ufer and Knut Neumann </i>43. Mixed Methods Research as a Pragmatic Toolkit: Understanding versus Fixing Complexity in the Learning Sciences, <i>Filitsa Dingyloudi and Jan-Willem Strijbos </i>44. Multivocal Analysis: Multiple Perspectives in Analyzing Interaction, <i>Kristine Lund and Daniel Suthers </i>45. Ethnomethodology: Studying the Practical Achievement of Intersubjectivity, <i>Timothy Koschmann </i>46. Interactional Ethnography, <i>Judith L. Green and Susan M. Bridges </i>47. Video Research Methods for Learning Scientists: State of the Art and Future Directions, <i>Sharon J. Derry, Lana M. Minshew, Kelly Barber-Lester and Rebekah Duke </i>48. Quantifying Qualities of Collaborative Learning Processes, <i>Freydis Vogel and Armin Weinberger </i>49. Learning Analytics in the Learning Sciences, <i>Carolyn P. Rosé </i>50. Epistemic Network Analysis: Understanding Learning by Using Big Data for Thick Description, <i>David W. Shaffer </i>51. Selecting Statistical Methods for the Learning Sciences and Reporting their Results, <i>Bram De Wever and Hilde Van Keer</i></p>