MOT and MOT Plus are object-oriented modeling tools intended to express various fields of knowledge as graphic knowledge models. These models attempt to give a dynamic view on a particular field that is often vast and complex, and on the existing links between knowledge objects.
Research in cognitive sciences has demonstrated the existence of some types of knowledge objects, their links as well as relational rules between them. MOT and MOT Plus exploit these notions. They regroup several graphic icons that represent abstract (concepts, procedures or principles) and concrete (facts) knowledge and the possible links (composition, regulation, specialization, precedence, input/ product, example). Moreover, it integrates grammar rules that govern the types of links between knowledge objects.
MOT and MOT Plus editors are endowed with sophisticated graphic editing capabilities. Graphs, that can be easily created, represent knowledge and links and make the nature and structure of learning systems contents stand out. Moreover, models and knowledge objects can be associated and displayed in a multilevel mode, models may be filtered in order to retain some types of knowledge objects or links. Neighborhood models can automatically be created by regrouping all knowledge objects at a certain distance from a given knowledge object, and finally, a knowledge object can be linked to any type of document using the OLE standards such as a word processor, slide presentation, Web browser, spreadsheet or database.
These tools characteristics allow learning systems designers or contents experts to build different types of graphic models that represent the knowledge domain involved. MOT and MOT Plus editors are particularly useful in learning systems engineering where model and knowledge types must be carefully distinguished in order to direct the choice of pedagogical and media processing. Moreover, it can be used advantageously in fields such as processes reengineering or method design.
MOT Plus includes new features such as layers, variants, lists of objects according to their type, labels, more powerful filters, etc.
These software tools were developed at Centre de recherche LICEF for a Windows environment. They are closely related to MISA method (learning systems engineering method) and the ADISA tool, also developed at LICEF.
These products are related to the HyperGuides-Recto sub-project entitled Design and production assistance, and to the TL-NCE TELEFORM project. MOT Plus was developed during the AGDI (“Atelier de Génie Didactique Intégré”) project.