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.