ERIC Number: ED437928
Record Type: Non-Journal
Publication Date: 1999
Collaborative Learning: Cognitive and Computational Approaches. Advances in Learning and Instruction Series.
Dillenbourg, Pierre, Ed.
Intended to illustrate the benefits of collaboration between scientists from psychology and computer science, namely machine learning, this book contains the following chapters, most of which are co-authored by scholars from both sides: (1) "Introduction: What Do You Mean by 'Collaborative Learning'?" (Pierre Dillenbourg); (2) "Learning Together: Understanding the Processes of Computer-Based Collaborative Learning" (Karen Littleton and Paivi Hakkinen); (3) "The Role of Grounding in Collaborative Learning Tasks" (Michael Baker, Tia Hansen, Richard Joiner, and David Traum); (4) "What Is 'Multi' in Multi-Agent Learning?" (Gerhard Weiss and Pierre Dillenbourg); (5) "Comparing Human-Human and Robot-Robot Interaction" (Richard Joiner, Kim Issroff, and John Demiris); (6) "Learning by Explaining to Oneself and to Others" (Rolf Ploetzner, Pierre Dillenbourg, Michael Preier, and David Traum); (7) "Knowledge Transformations in Agents and Interactions: A Comparison of Machine Learning and Dialogue Operators" (Engelbert Mephu Nguifo, Michael Baker, and Pierre Dillenbourg); (8) "Can Analytic Models Support Learning in Groups?" (H. Ulrich Hoppe and Rolf Ploetzner); (9) "Using Telematics for Collaborative Knowledge Construction" (Tia Hansen, Lone Dirckinck-Holmfeld, Robert Lewis, and Joze Rugelj); and (10) "The Productive Agency that Drives Collaborative Learning" (Daniel L. Schwartz). Contains an index. (Contains 425 references.) (MES)
Descriptors: Cognitive Psychology, Computer Oriented Programs, Computer Science, Cooperative Learning, Interaction, Interdisciplinary Approach, Problem Solving
Elsevier Science, Inc., P.O. Box 945, Madison Square Station, New York, NY 10160-0757 ($72). Web site: http://www.elsevier.com.
Publication Type: Books; Collected Works - General
Education Level: N/A
Authoring Institution: N/A