Ontology Based ContentOntology Based ContentManagement in a Mobilized

L i E iLearning Environment

Gábor KismihókDr. Réka Vas

www corvinno comwww.corvinno.comhttp://informatika.uni-corvinus.hu

mLearn 2009Orlando

Running e- and mLearning projectsOntology Based Personnel Selection and Recruitment

Tba (start: 01/11/09)Mobile Technologies in Lifelong Learning

http://motill.euE-Learning Manager

http://deis.ie/elm/PSS bil P f S t S t (t k b d bil L i )mPSS – mobile Performance Support System (task based mobile Learning)

http://mpss.ath.cxUsing wireless technologies for context sensitive education and trainingUsing wireless technologies for context sensitive education and training

www.ericsson.com/contsensCorvinno Studio – Ontology Based Content Management and DeliveryCorvinno Studio Ontology Based Content Management and Delivery

www.corvinno.com

What is an Ontology?

„ …ontologies aim to capture consensual knowledge in a generic and formal way so that they may bein a generic and formal way, so that they may be reused and shared across applications (software) and by groups of people Ontologies are usually builtby groups of people. Ontologies are usually built cooperatively by a group of people in different locations ”locations.

(Corcho et al., 2003. p. 44.).

Complex, Ontology based eLearning

HRM selection and

LearningTechnology selection and

recruitmentTechnologyselection

OntologyOntologymodell

Competencymapping

Adaptivetesting

Contextbased

LearningCurricula

development

The Ontology Model

HRM selection and

LearningTechnology selection and

recruitmentTechnologyselection

OntologyOntologymodell

Competencymapping

Adaptivetesting

Contextbased

LearningCurricula

development

Group of tasksspecifies Educational

Scope of A ti iti

Taskis part of

serves

specifies is part of

is part of

ontologyActivities

requiresrequires

serves

Competence Competence Module

ensures

prerequisite

requires prerequisite

element of

Knowledge Area

ensures

Curriculum Module

belongs toelement of

requires

prerequisite

p q

requires knowledge of

is part of

i t f prerequisite

Basic Theorem E lpremise refers to

refers to

is part of is part of is part of

concept Theorem Example

refers to

conclusion refers to

R. Vas, 2007 refers to

Test questions

,

Curricula Development

HRM selection and

LearningTechnology selection and

recruitmentTechnologyselection

OntologyOntologymodell

Competencymapping

Adaptivetesting

Contextbased

LearningCurricula

development

Curricula Development

Curriculum

belongs to element of

Curriculum

belongs to element of

requires knowledge of

part of

part of part of part of

Knowledge Area requires

knowledge of

part of

part of part of part of

Knowledge Area

Basic concept Theorem Example

premise

conclusion

refers to

refers to

refers to Basic concept Theorem Example

premise

conclusion

refers to

refers to

refers to

C t l f k f

refers torefers to

• Conceptual framework for courses

• Clearly structures the required knowledge, nodes are y q g ,connected to Learning Objects

Curricula Development

• Different types of connections between the nodes

• Learning Content is developed in Semantic MediaWiki

• Example: Studio MediaWiki

Adaptive testing

HRM selection and

LearningTechnology selection and

recruitmentTechnologyselection

OntologyOntologymodell

Competencymapping

Adaptivetesting

Contextbased

LearningCurricula

development

Adaptive Testing• Questions are connected to the Ontology nodes

• Test engine is adaptive: continuously monitors students’ g p yperformance

• A Built-in reasoning engine identifies the missing knowledge g g g gareas

• Knowledge areas are only accepted if questions aboutKnowledge areas are only accepted if questions about underlying concepts are correct

• Based on this information content is offered automaticallyBased on this information content is offered automatically

• Demo Video

I t ti W b D t ti• Interactive Web Demonstration

Learning Technology Selection

HRM selection and

LearningTechnology selection and

recruitmentTechnologyselection

OntologyOntologymodell

Competencymapping

Adaptivetesting

Contextbased

LearningCurricula

development

Learning Technology Selection

• For investments seamless set ofseamless set of technological criteria is nowcriteria is now available

• This approach has been tested on institutional synchronous virtual learning software selection

HRM Selection and Recruitment

HRM selection and

LearningTechnology selection and

recruitmentTechnologyselection

OntologyOntologymodell

Competencymapping

Adaptivetesting

Contextbased

LearningCurricula

development

HRM Selection and Recruitment

Higher education–Master level

Ontology based learningenvironment

Higher education–Bachelor level

Workplace

STUDIO OntologybasedlearningOntology based learning genvironm

ent

environment

Higher vocational training

Secondaryeducation

Secondary vocational training

Basic vocationaltraining

HRM Selection and Recruitment

Competency Mapping

HRM selection and

LearningTechnology selection and

recruitmentTechnologyselection

OntologyOntologymodell

Competencymapping

Adaptivetesting

Contextbased

LearningCurricula

development

Competency mapping

Context Based Learning

HRM selection and

LearningTechnology selection and

recruitmentTechnologyselection

OntologyOntologymodell

Competencymapping

Adaptivetesting

Contextbased

LearningCurricula

development

Contsens Project

Mobilised Learning Environment

HRM selection and

LearningTechnology selection and

recruitmentTechnologyselection

OntologyOntology modell

Competencymapping

Adaptivetesting

Contextbased

LearningCurricula

development

More information

kismihok@informatika.uni-corvinus.hu