Understanding collaborative learning processes in new learning environments

被引:1
作者
Cindy E. Hmelo-Silver
Ellina Chernobilsky
Rebecca Jordan
机构
[1] Rutgers,
[2] The State University of New Jersey,undefined
[3] Caldwell College,undefined
[4] Rutgers,undefined
[5] The State University of New Jersey,undefined
来源
Instructional Science | 2008年 / 36卷
关键词
Computer-supported collaborative learning; Problem-based learning; Methodology; Visual representations;
D O I
暂无
中图分类号
学科分类号
摘要
Trying to understand the complexity of computer-mediated problem-based learning environments is not easy. Sociocultural theory provides a theoretical framework for understanding such environments because it emphasizes the socially situated nature of learning and the critical role of tools in mediating learning. To examine how different aspects of discourse relate to each other, as well as to the tools being used in the collaborative learning process, it is important to understand how collaborative knowledge building unfolds and how these processes are mediated. This requires going beyond coding individual speech acts. The use of Chronologically-Ordered Representations of Discourse and Tool-Related Activity (CORDTRA) diagrams is one way of achieving this understanding. We use this to study contrasting cases of more and less successful groups using the STELLAR learning environment. STELLAR is an integrated online PBL environment for preservice teachers, containing a learning sciences hypermedia, a library of videocases, and online personal and collaborative spaces. Our analyses suggest that an important locus of differences is how students use resources and engage in different kinds of metacognitive talk and knowledge transforming activities, sometimes to the group’s detriment. Frequency analyses provided an easily interpreted snapshot of each group’s activity. The CORDTRA analyses provide a more dynamic view that helps researchers and teachers better understand how collaborative learning unfolds. Such analyses have implications for understanding new learning environments as well as helping identify where interventions might be needed.
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页码:409 / 430
页数:21
相关论文
共 99 条
[1]  
Arvaja M(2007)Combining individual and group-level perspectives for studying collaborative knowledge construction in context Learning and Instruction 17 448-459
[2]  
Salovaara H(2003)On analysis of collaborative problem solving: An object-oriented approach Computers in Human Behavior 19 47-167
[3]  
Häkkinen P(2003)When smart groups fail Journal of the Learning Sciences 12 307-359
[4]  
Järvelä S(2004)Learning to talk the educational psychology talk through a problem-based course in educational psychology Instructional Science 32 319-356
[5]  
Avouris N(1998)The structure of discussions that promote reasoning Teachers College Record 100 315-368
[6]  
Dimitracopoulou A(2008)The need for considering multilevel analysis in CSCL research—an appeal for the use of more advanced statistical methods International Journal of Computer-supported Collaborative Learning 3 69-84
[7]  
Komis V(2003)Complexity, theory, and praxis: Researching collaborative learning and tutoring processes in a networked learning community Instructional Science 31 7-39
[8]  
Barron BJS(2006)Content analysis schemes to analyze transcripts of online asynchronous discussion groups: A review Computers & Education 46 6-28
[9]  
Chernobilsky E(2006)Cognitive transfer revisited: Can we exploit new media to solve old problems on a large scale? Journal of Educational Computing Research 35 145-162
[10]  
DaCosta MC(2002)Guiding principles for fostering productive disciplinary engagement: Explaining an emergent argument in a community of learners’ classroom Cognition and Instruction 20 399-484