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Author: Lornet LD team Reuse freely – Just quote Learning Design based on Graphical Knowledge- Modeling LICEF-CIRTA, Télé-Université Learning Design based.

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Presentation on theme: "Author: Lornet LD team Reuse freely – Just quote Learning Design based on Graphical Knowledge- Modeling LICEF-CIRTA, Télé-Université Learning Design based."— Presentation transcript:

1 Author: Lornet LD team Reuse freely – Just quote Learning Design based on Graphical Knowledge- Modeling LICEF-CIRTA, Télé-Université Learning Design based on Graphical Knowledge- Modeling LICEF-CIRTA, Télé-Université _________________________________ Michel Léonard UNFOLD Workshop Valkenburg, sept, 21-22, 2005

2 Author: Lornet LD team Reuse freely – Just quote The LD Research Team Gilbert Paquette, Scientific Director and ID Specialist Stefan Mihaila, Denis Gareau, System Designer Ileana de la Teja, I.D. Specialist and Competency Models Karin Lundgren-Cayrol, I.D. Specialist and Collaborative Learning Michel Leonard, Knowledge Modeling Expert and System Design

3 Author: Lornet LD team Reuse freely – Just quote Subjects: M.O.T. Modeling language using Object TypeMOTPlus Graphic editor use to produce ‘Unit of Learning’ models and XML-LD manifest compliant with the IMS-LD specificationMISA: Instructional Engineering Method adapted to support IMS-LD Structured competencies

4 Author: Lornet LD team Reuse freely – Just quote R & D- Implementation - Revision Research on knowledge based systems 92/98 - Design & dev. of a pedagogical design course Development of MISA-1, 2, 3 and MOT softw Development of MOTPlus standard model ADISA (MISA4 and MOT): Web Workbench MISA4/MOTPlus : Standard model Flowchart model by actor IMS-Learning Design model + XML-LD Ontology model + XML-OWL Ontology model + XML-OWL

5 Author: Lornet LD team Reuse freely – Just quote Plan LD Editor Graphic Representation MOTPlus - LD Graphic vocabulary Misa – LD Engineering process Knowledge/Competency Referencing Conclusion

6 Author: Lornet LD team Reuse freely – Just quote Concepts Procedures Principles Examples Traces Statements Abstract knowledge Concrete facts MOTPlus : Type of knowledge units WHAT? Conceptual K HOW? Procedural K WHEN? WHY? Conditional K

7 Author: Lornet LD team Reuse freely – Just quote Concepts Objects Documents, tools Dates Definitions Examples of different type of knowledge Procedures Actions Tasks, activities Instructions, algorithms Steps in a scenario Principles Conditions, constraints Rules, heuristics Laws, theories Decisional actors Example: concrete object representing a concept Trace: concrete object representing a procedure Statement: concrete object representing a principle Facts

8 Author: Lornet LD team Reuse freely – Just quote MOT Graphic Language

9 Author: Lornet LD team Reuse freely – Just quote Example of Knowledge Model

10 Author: Lornet LD team Reuse freely – Just quote Model Taxonomy (Categories) Set of Examples Set of Traces Set of Statements Taxonomies and Typologies Component Systems Hybrid Conceptual Systems Series Procedures Parallel Procedures Iterative Procedures Definitions, Norms and Constraints Laws and Theories Decision Trees Control Rules Processes Methods Collaborative Systems S S S S S S S S S S S S S S S S Knowledge Model Factual Models Conceptual Models Procedural Models Prescriptive Models Processes and Methods S S S S S LD Ontologies

11 Author: Lornet LD team Reuse freely – Just quote Desired Properties of a MOT Graphic Representation Formalism Simplicity and User Friendliness (win spec, only few type) Generality (structured overview of the domain) Completeness (process, resources and rules in the same model) Has easily Interpretable graphic objects (only few type) Facilitates communication (same semantic for each model) Allows building meta-knowledge models : Generic Skills and Competencies Makes explicit the relationship between knowledge/competency and LD Translates to machine (XML) format

12 Author: Lornet LD team Reuse freely – Just quote Plan LD Editor Graphic Representation MOTPlus - LD Graphic vocabulary Misa – LD Engineering process Knowledge/Competency Referencing Conclusion

13 Author: Lornet LD team Reuse freely – Just quote MOTPlus - LD Graphic Objects

14 Author: Lornet LD team Reuse freely – Just quote MOT+ LD Links

15 Author: Lornet LD team Reuse freely – Just quote Graphic Representation of a LD

16 Author: Lornet LD team Reuse freely – Just quote Collaboration (Versailles Scenario) I I-France Serbia Confer SO C FRANCE-Serbia Confer I FRANCE-SERBIA Negotiate AD res IP France-Serbia Side-room France-Serbia Forum

17 Author: Lornet LD team Reuse freely – Just quote Referencing LDs with an Ontology

18 Author: Lornet LD team Reuse freely – Just quote Plan LD Editor Graphic Representation MOTPlus - LD Graphic vocabulary Misa – LD Engineering process Knowledge/Competency Referencing Conclusion

19 Author: Lornet LD team Reuse freely – Just quote Cognitive Science Education Science Software Engineering The basis

20 Author: Lornet LD team Reuse freely – Just quote ADDIE MISA Comparing MISA with the ID model AnalysisDesignDevelopmentImplementationEvaluation Project definition Preliminary solution Architectural design Instructional materials design Materials’ development & validation Infrastructure planning

21 Author: Lornet LD team Reuse freely – Just quote 6 Phases 4 Axes Contents Materials Strategy Delivery MISA: Description Modular structure Allows a flexible approach for the designers and for the administrators Facilitate location, updates and re-use of the LS constituents in new projects. Documentation Elements 35 textual and graphical templates Phases are structured according to specialized AXES

22 Author: Lornet LD team Reuse freely – Just quote MISA 4.0 Method Knowledge Modeling 210 Knowledge modeling principles 212 Knowledge model 214 Target competencies 310 Learning units content 410 Learning instruments content 610 Knowledge and competency management Instructional Modeling 220 Instructional principles 222 Learning events network 224 Learning units properties 320 Instructional scenarios 322 Learning activities properties 420 Learning instruments properties 620 Actors and group management Materials Modeling 230 Media principles 330 Development infrastructure 430 Learning materials list 432 Learning materials models 434 Media elements 436 Source documents 630 Learning system / resource management Delivery Modeling 240 Delivery principles 242 Cost-benefit analysis 340 Delivery planning 440 Delivery models 442 Actors and user’s materials 444 Tools and telecommunication 446 Services and delivery locations 540 Assessment planning 640 Maintenance / quality management Problem definition 100 Training system 102 Training objectives 104 Target Learners 106 Actual situation 108 Reference documents

23 Author: Lornet LD team Reuse freely – Just quote MISA - Instructional Engineering Method

24 Author: Lornet LD team Reuse freely – Just quote Plan LD Editor Graphic Representation MOTPlus - LD Graphic vocabulary Misa – LD Engineering process Knowledge/Competency Referencing Conclusion

25 Author: Lornet LD team Reuse freely – Just quote Structured Competencies n To say that somebody needs to acquire a certain knowledge is insufficient n What kind of generic skill and performance? Explain or Use or Analyse or Communicate the Knowledge In a simple or complex situation, with or without help n The generic skills’ taxonomy is based on different viewpoints : instructional objectives, generic tasks/processes, meta-knowledge n Competency = Meta-process (skill) applied to a knowledge at a certain performance level n Permits to situate knowledge acquisition goals on a competency/performance scale (to be measured or observed)

26 Author: Lornet LD team Reuse freely – Just quote Frameworks

27 Author: Lornet LD team Reuse freely – Just quote A Generic Skills (Meta-process) Taxonomy S Identify S Illustrate Memorize Utilize S S S Classify Construct Initiate/ Influence Adapt/ control S S S S Discriminate Explicitate Simulate Deduce S S Predict Diagnose Induce Plan S S S S S S Exerce a skill Receive Reproduce S Create Self- manage S S 1-Show awareness S 9-Evaluate S 4-Transpose S 7-Repair S 2-Internalize S 3-Instantiate /Detail S 5-Apply S 6-Analyze 8-Synthesize S S 10-Self- manage S Generic skill Inputs Products SimulateA Process and its sub- procedures, inputs, products and control principles Trace of the procedure: set of facts obtained through the application of the procedure in a particular case ConstructDefinition constraints to be satisfied such as target inputs, products or steps…. A model of the process: its inputs, products, sub-procedures each with their own inputs, products and control principles

28 Author: Lornet LD team Reuse freely – Just quote Simulation: generic and scenario models

29 Author: Lornet LD team Reuse freely – Just quote Plan LD Editor Graphic Representation MOTPlus - LD Graphic vocabulary Misa – LD Engineering process Knowledge/Competency Referencing Conclusion

30 Author: Lornet LD team Reuse freely – Just quote Conclusion 1. 1.Generic Skill’s Meta-process could be used and reused as a basis for Learning Scenarios 2. 2.Target competencies with its hierarchic skill structure contribute to build effective and efficient instructional scenarios 3. 3.In a Learning Object Repository, the skill taxonomy provides a way to classify UoLs scenarios by their association to the generic graphic knowledge based models Through the Learning Design templates’ metadata using the main target skill and the related knowledge type

31 Author: Lornet LD team Reuse freely – Just quote Learning Design based on Graphical Knowledge-Modeling Learning Design based on Graphical Knowledge-Modeling IEEE ET&S journal Address: LICEF Reaches Center MOTPlus LD Resources to download : (software, presentations and examples) Presented by Michel Léonard, UNFOLD /ProLearn meeting, Valkenburg, sept, 21-22, 2005


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