- From: Paola Di Maio <paola.dimaio@gmail.com>
- Date: Wed, 25 May 2022 10:33:41 +0800
- To: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=SpJFMrM2K0nC8JJ5fBo_09m1BZp48S8Gr4_ttr39cXk6w@mail.gmail.com>
Not new, but v good read, I plan to leverage some concepts Graphical Ontology Modeling Language for Learning Environments GILBERT PAQUETTE* https://www.researchgate.net/publication/228639039_Graphical_ontology_modeling_language_for_learning_environments In the last fifteen years, our main goal has been to synthesize and combine various forms of graphical representations that are useful for educational modeling and knowledge management, using an integrated graphical formal- ism. We have shown that very different kinds of representation, conceptual maps, flowcharts, decision trees and others, can all be modeled more precise- ly, using the MOT graphic language based on typed objects (concept, proce- dures, principles, facts) as well as few typed links. With this set of primitive graphic symbols, it has been possible to build very different graphic models, from simple taxonomies to ontologies, more or less complex learning designs, delivery process, decision systems, and methods. Recent developments have led to two specialisations of the graphic lan- guage. The first one is a powerful, yet simple graphic language to build ontologies for a knowledge domain. The second one enables to model learn- ing designs and scenarios in a standardized and computable way. The associ- ation between both kinds of models specifies the central part of a learning environment at the design phase, and enables its delivery to learners and edu- cators. In the final section, I assert that knowledge representation for educa- tion should be graphic, user-friendly, general, scalable, declarative, standard- ized and computable. A discussion of these criteria conclude
Received on Wednesday, 25 May 2022 02:34:32 UTC