http://worldcat.org/entity/work/id/1117692574

Online Collaborative Learning: Theory and Practice

"Online Collaborative Learning: Theory and Practice" provides a resource for researchers and practitioners in the area of online collaborative learning (also known as cscl, computer-supported collaborative learning), particularly those working within a tertiary education environment. It includes articles of relevance to those interested in both theory and practice in this area. It attempts to answer such important current questions as: how can groups with shared goals work collaboratively using the new technologies? What problems can be expected, and what are the benefits? In what ways does online group work differ from face-to-face group work? And what implications are there for both educators and students seeking to work in this area? This book contains 13 chapters: (1) Supporting Collaborative Project Teams Using Computer-Based Technologies (Sue Bennett); (2) Computer-Mediated Progressive Inquiry in Higher Education (Hanni Muukkonen, Kai Hakkarainen and Minna Lakkala); (3) Moderating Learner-Centered E-Learning (Curtis Bonk, Robert Wisher and Ji-Yeon Lee); (4) Supporting Distributed Problem-Based Learning (Joerg Zumbach, Annette Hillers and Peter Reimann); (5) Online Collaborative Learning in Mathematics (Rod Nason and Earl Woodruff); (6) Thinking Out of a Bowl of Spaghetti (John Dirkx and Regina Smith); (7) a New Taxonomy for Evaluation Studies of Online Collaborative Learning (Lesley Treleaven); (8) Computer-Mediated Learning Groups (Charles Graham and Melanie Misanchuk); (9) Collaborative or Cooperative Learning? (Joanne McInnerney and Tim Roberts); (10) Methods for Analyzing Collaboration in Online Communications (Albert Ingram and Lesley Hathorn); (11) Reflection and Intellectual Amplification in Online Communities of Collaborative Learning (Elsebeth Sorensen); (12) Do Online Collaborative Groups Need Leaders? (Agnes Kukulska-Hulme); and (13) Drawing on Design to Improve Evaluation of Computer Supported Collaborative Learning (John Nash, Christoph Richter and Heidrun Allert).

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