文档介绍：Meta-knowledge Representation 
for Learning Scenarios Engineering
by
Gilbert Paquette
LICEF Research Centre, Télé-université
1001 Sherbrooke St. East, Montreal
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Abstract. Meta-knowledge helps an individual to improve the ways he/she learns, thus facilitating transfer operations from a known application domain to new ones, and finally enabling him/her to learn more autonomously. The importance of meta-knowledge justify its inclusion within a knowledge model that provides a structured representation of « learning objects», the content of a learning environment. We will outline briefly a knowledge representation technique that was built for the design of learning environments and extend it to display graphical descriptions of meta-knowledge objects and their relationships with domain specific knowledge. We then use the MOT knowledge editor to represent skills and generic processes at the meta-knowledge level. We finally show how a skill applied to a central knowledge object in an application domain can lead to meaningful learning scenarios intended both for the acquisition/construction of specific knowledge and meta-knowledge.
Key words. Higher-order thinking skills, Metacognition, Knowledge and skill acquisition, Knowledge representation for instruction, Learning environments and microworlds, Principles and tools for instruct