Knowledge integration
From Wikipedia, the free encyclopedia
Knowledge integration is the process of synthesizing multiple knowledge models (or representations) into a common model (representation).
Compared to information integration, which involves merging information having different schemas and representation models, knowledge integration focuses more on synthesizing the understanding of a given subject from different perspectives.
For example, multiple interpretations are possible of a set of student grades, typically each from a certain perspective. An overall, integrated view and understanding of this information can be achieved if these interpretations can be put under a common model, say, a student performance index.
The Web-based Inquiry Science Environment (WISE), from the University of California at Berkeley has been developed along the lines of knowledge integration theory.
[edit] References
- Linn, M. C. (2006) The Knowledge Integration Perspective on Learning and Instruction. R. Sawyer (Ed.). In The Cambridge Handbook of the Learning Sciences. Cambridge, MA. Cambridge University Press
