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Second International Conference on Multimedia and ICTs in Education MICTE 2003 – Badajoz - Spain A KNOWLEDGE ONTOLOGY A KNOWLEDGE ONTOLOGY AND ITS APPLICATION AND ITS APPLICATION INTO A LEARNING INTO A LEARNING ENVIRONMENT MODEL ENVIRONMENT MODEL Inés Friss de Kereki Inés Friss de Kereki ORT Uruguay University ORT Uruguay University Javier Azpiazu, Andrés Silva Javier Azpiazu, Andrés Silva Polytechnic University of Madrid Polytechnic University of Madrid

A KNOWLEDGE ONTOLOGY AND ITS APPLICATION INTO A LEARNING ENVIRONMENT MODEL

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A KNOWLEDGE ONTOLOGY AND ITS APPLICATION INTO A LEARNING ENVIRONMENT MODEL. Inés Friss de Kereki ORT Uruguay University Javier Azpiazu, Andrés Silva Polytechnic University of Madrid. Second International Conference on Multimedia and ICTs in Education MICTE 2003 – Badajoz - Spain. - PowerPoint PPT Presentation

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Page 1: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Second International Conference on Multimedia and ICTs in Education MICTE 2003 – Badajoz - Spain

A KNOWLEDGE A KNOWLEDGE ONTOLOGY AND ITS ONTOLOGY AND ITS

APPLICATION APPLICATION INTO A LEARNING INTO A LEARNING

ENVIRONMENT MODELENVIRONMENT MODELInés Friss de KerekiInés Friss de KerekiORT Uruguay UniversityORT Uruguay University

Javier Azpiazu, Andrés SilvaJavier Azpiazu, Andrés SilvaPolytechnic University of MadridPolytechnic University of Madrid

Page 2: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Part I: IntroductionPart I: Introduction

Part II: Knowledge OntologyPart II: Knowledge Ontology

Part III: ApplicationPart III: Application

Part IV: ConclusionPart IV: Conclusion

Page 3: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Part I: IntroductionPart I: Introduction

Page 4: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Environments MODEL Ontologies

Knowledge Management

Requirements Engineering, Knowledge Engineering

Learning, Teaching

Engineering

PhD Thesis: A learning environment model based on knowledge management techniques

Introduction:Introduction:Context and related Context and related

areasareas

Page 5: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

IntroductionIntroduction

Knowledge: the most versatile and Knowledge: the most versatile and important of all production factors important of all production factors (Toffler et al., 1998)(Toffler et al., 1998)

Accurate definition of knowledge Accurate definition of knowledge related terms is requiredrelated terms is required knowledge ontology (Part II)knowledge ontology (Part II) application (Part III)application (Part III)

Page 6: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Part II: Knowledge Part II: Knowledge OntologyOntology

Page 7: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

OntologyOntology

Defines the vocabulary of an area Defines the vocabulary of an area basic termsbasic terms relationships (Neches et al., 1991)relationships (Neches et al., 1991)

An explicit formal specification of a An explicit formal specification of a shared conceptualization shared conceptualization (Gruber, (Gruber, 1993)1993)

Page 8: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Ontology of knowledgeOntology of knowledge

descriptive knowledge descriptive knowledge

procedural knowledge procedural knowledge

heuristic knowledge heuristic knowledge

anecdotic knowledgeanecdotic knowledge

Page 9: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

ExamplesExamples

Object Oriented ProgrammingObject Oriented Programming ClassesClasses

Elementary MathElementary Math Arithmetic ProgressionArithmetic Progression

Page 10: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

HierarchyHierarchy

Page 11: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Knowledge main attributesKnowledge main attributes

DescriptionDescription Learning strategiesLearning strategies ImportanceImportance MediumMedium Required levelRequired level

Page 12: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Part III: ApplicationPart III: Application

Page 13: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

What is a Learning What is a Learning Environment?Environment?

It is the space where it is possible to It is the space where it is possible to manage knowledge or, rather, manage knowledge or, rather, ignoranceignorance

Adaptable Adaptable Non sequential approachesNon sequential approaches

Page 14: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

The Proposed ModelThe Proposed Model

Page 15: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Implementation: PLE:ASE Implementation: PLE:ASE

Page 16: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

PLE:ASEPLE:ASE

Page 17: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

ExperimentationExperimentation

Understanding teachingUnderstanding teaching Search for new ways to solve Search for new ways to solve

problemsproblems

Knowledge transferabilityKnowledge transferability

Page 18: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

ExperimentationExperimentation

ORT Uruguay UniversityORT Uruguay University 1st year, Programming, Systems Engineering1st year, Programming, Systems Engineering Groups (random):Groups (random):

Control (8 students)Control (8 students) Training (19 students) Training (19 students) Training and environment (21 students)Training and environment (21 students)

2 test to each student2 test to each student Statistical Tests:Statistical Tests:

Mann-Whitney, Kruskal-WallisMann-Whitney, Kruskal-Wallis No significant differences at the beginningNo significant differences at the beginning

Page 19: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Experimentation resultsExperimentation results

The use of the environment allowed The use of the environment allowed the students to enlarge or improve:the students to enlarge or improve: their problem resolution methods and their problem resolution methods and their capacities to carry out the transfer their capacities to carry out the transfer

of knowledge.of knowledge.

Page 20: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Part IV: ConclusionPart IV: Conclusion

Page 21: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

It is possible to define a knowledge It is possible to define a knowledge ontology and to apply it, with good ontology and to apply it, with good results, into a learning environment results, into a learning environment modelmodel

Page 22: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Questions?Questions?

Page 23: A KNOWLEDGE ONTOLOGY AND ITS APPLICATION  INTO A LEARNING ENVIRONMENT MODEL

Thanks!Thanks!