International Handbook of the Learning Sciences (eBook, PDF)

Redaktion: Fischer, Frank; Reimann, Peter; Goldman, Susan R.; Hmelo-Silver, Cindy E.

• Format: PDF

Produktbeschreibung

The International Handbook of the Learning Sciences 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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 574
• Erscheinungstermin: 19. April 2018
• Englisch
• ISBN-13: 9781317208365
• Artikelnr.: 53429958

Inhaltsangabe

Foreword
Janet L. Kolodner 1. Introduction
Frank Fischer
Susan R. Goldman
Cindy E. Hmelo-Silver and Peter Reimann I. Historical Foundations and Theoretical Orientations of the Learning Sciences 2. A Short History of the Learning Sciences
Christopher Hoadley 3. Epistemic Cognition and Epistemological Development
Clark Chinn and William Sandoval 4. Cognitive and Sociocultural Perspective on Learning: Tensions and Synergy in the Learning Sciences
Joshua A. Danish and Melissa Gresalfi 5. Apprenticeship Learning
Julia Eberle 6. Expertise
Peter Reimann and Lina Markauskaite 7. Cognitive Neuroscience Foundations for the Learning Sciences
Sashank Varma
Soo-hyun Im
Astrid Schmied
Kasey Michel and Keisha Varma 8. Embodied Cognition in Learning and Teaching: Action
Observation and Imagination
Martha W. Alibali and Mitchell J. Nathan 9. Learning from Multiple Sources in a Digital Society
Susan R. Goldman and Saskia Brand-Gruwel 10. Multiple Representations and Multimedia Learning
Shaaron Ainsworth 11. Learning Within and Beyond the Disciplines
Leslie R. Herrenkohl and Joseph L. Polman 12. Motivation
Engagement
and Interest: "In the End
It Came Down to You and How You Think of the Problem"
K. Ann Renninger
Yanyan Ren and Heidi M. Kern 13. Contemporary Perspectives of Regulated Learning in Collaboration
Sanna Järvelä
Allyson Hadwin
Jonna Malmberg and Mariel Miller 14. Collective Knowledge Construction
Ulrike Cress and Joachim Kimmerle 15. Learning at Work: Social Practices and Units of Analysis
Sten Ludvigsen and Monika Nerland 16. Complex Systems and the Learning Sciences: Implications for Learning
Theory
and Methodologies
Susan A. Yoon II. Learning Environments: Designing
Researching
Evaluating 17. 4C/ID in the Context of Instructional Design and the Learning Sciences
Jeroen J. G. van Merriënboer and Paul A. Kirschner 18. Classroom Orchestration
Pierre Dillenbourg
Luis P. Prieto and Jennifer K. Olsen 19. Research on Scaffolding in the Learning Sciences: A Methodological Perspective
Iris Tabak and Eleni A. Kyza 20. Example-based Learning
Tamara van Gog and Nikol Rummel 21. Learning through Problem Solving
Cindy E. Hmelo-Silver
Manu Kapur and Miki Hamstra 22. Inquiry Learning and Opportunities for Technology
Marcia C. Linn
Kevin W. McElhaney
Libby Gerard and Camillia Matuk
23. Supporting Informal STEM Learning with Technological Exhibits: An Ecosystemic Approach
Leilah Lyons 24. Intelligent Tutoring Systems
Arthur C. Graesser
Xiangen Hu and Robert Sottilare 25. Simulation
Games
and Modeling Tools for Learning
Ton de Jong
Ard Lazonder
Margus Pedaste and Zacharias Zacharia 26. Supporting Teacher Learning through Design
Technology
and Open Educational Resources
Mimi Recker and Tamara Sumner 27. Games in the Learning Sciences: Reviewing Evidence from Playing and Making Games for Learning
Deborah A. Fields and Yasmin B. Kafai 28. The Maker Movement and Learning
Erica Halverson and Kylie Peppler 29. Knowledge Building: Theory
Design and Analysis
Carol K. K. Chan and Jan van Aalst30. Collective Inquiry in Communities of Learners
James D. Slotta
Rebecca Quintana and Tom Moher 31. Computer-Supported Argumentation and Learning
Baruch Schwarz 32. Theoretical and Methodological Frameworks for Computer-Supported Collaborative Learning
Heisawn Jeong and Kylie Hartley 33. Scaffolding and Scripting (Computer-Supported) Collaborative Learning
Ingo Kollar
Christof Wecker and Frank Fischer 34. Group Awareness Tools for Computer-Supported Collaborative Learning
Daniel Bodemer
Jeroen Janssen and Lenka Schnaubert 35. Mobile Computer-Supported Collaborative Learning
Chee-Kit Looi and Lung-Hsiang Wong 36. Massive Open Online Courses (MOOCs) and Rich Landscapes of Learning: A Learning Sciences Perspective
Gerhard Fischer III. Research
Assessment
and Analytic Methods 37. Design-Based Research (DBR)
Sadhana Puntambekar 38. Design-Based Implementation Research
Barry Fishman and William Penuel 39. Participatory Design and the Learning Sciences
Kimberley Gomez
Eleni Kyza and Nicole Mancevice 40. Assessment of and for Learning
James W. Pellegrino 41. Learning Progressions
Ravit G. Duncan and Ann E. Rivet 42. Measuring Competencies
Stefan Ufer and Knut Neumann 43. Mixed Methods Research as a Pragmatic Toolkit: Understanding versus Fixing Complexity in the Learning Sciences
Filitsa Dingyloudi and Jan-Willem Strijbos 44. Multivocal Analysis: Multiple Perspectives in Analyzing Interaction
Kristine Lund and Daniel Suthers 45. Ethnomethodology: Studying the Practical Achievement of Intersubjectivity
Timothy Koschmann 46. Interactional Ethnography
Judith L. Green and Susan M. Bridges 47. Video Research Methods for Learning Scientists: State of the Art and Future Directions
Sharon J. Derry
Lana M. Minshew
Kelly Barber-Lester and Rebekah Duke 48. Quantifying Qualities of Collaborative Learning Processes
Freydis Vogel and Armin Weinberger 49. Learning Analytics in the Learning Sciences
Carolyn P. Rosé 50. Epistemic Network Analysis: Understanding Learning by Using Big Data for Thick Description
David W. Shaffer 51. Selecting Statistical Methods for the Learning Sciences and Reporting their Results
Bram De Wever and Hilde Van Keer