Computer supported collaborative learning using CLARE

Abstract

Current collaborative learning systems focus on maximizing shared information. However, “meaningful learning” is not simply information sharing but, more importantly, knowledge construction. CLARE is a computer-supported learning environment that facilitates meaningful learning through collaborative knowledge construction. CLARE provides a semi-formal representation language called RESRA and an explicit process model called SECAI. Experimental evaluation through 300 hours of classroom usage indicates that CLARE does support meaningful learning, and that a major bottleneck to computer-mediated knowledge construction is summarization. Lessons learned through the design and evaluation of CLARE provide new insights into both collaborative learning systems and collaborative learning theories.

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