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Case-Based Learning
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Theories
"with the collaboration of D. Leclercq"


The titles hereafter link to some theories or concepts, defined by scientific authors, that help us understand why and how usiny CBLMs.

You can browse through this section, but the theories and concepts are especialty to be used in context, i.e. when using the check-list.

Theories - concepts :

Architecture of Cognition
Artificial Intelligence
Chunks (verbal)
Competencies (pyramid of)
Conceptual activity propagation
Concepts in the Brain
Context (in schemata)
Decision Making : emotional hypothesis
Decision Making : decision theory
Deep processing
Generalisation
Limitations on human information processing
Meaning (of experience)
Memories : semantic and episodic
Narratives
Negative Cases
Prerequisites
Problem Solving
Representation (of cases) in mind
Schemata and Chess players
Schemata
Simulation (advantages of)
Spontaneous mental network
Subsomption
Transfer
Transfer (preparation to)
Typicality (of examples)
Working Memory
Written texts as a source of learning

 

 

 

 

Ulg - HP - LabSET
Why and how using case-based learning ?

Poumay, M. (Ed) (2001), Why and How using Case Based Learning Methods (CBLMs), a LabSET report for Hewlett Packard in San-Francisco, University of Liège.