steps towards an ontology based learning environment

Steps Towards an Ontology Based Learning

Environment

Gábor Kismihókwww.corvinno.com

http://informatika.uni-corvinus.hu

ECLO International Conference2009

Running e- and mLearning projectsMobile Technologies in Lifelong Learning

http://motill.eu

E-Learning Managerhttp://deis.ie/elm/

mPSS – mobile Performance Support System (task based mobile Learning)http://mpss.ath.cx

Using wireless technologies for context sensitive education and training

www.ericsson.com/contsens

Corvinno Studio – Ontology Based Content Management and Deliverywww.corvinno.com

What is an Ontology?

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

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

Complex, Ontology based eLearning

Ontologymodell

HRM selection and recruitment

Competencymapping

Contextbased

LearningCurricula

development

Adaptivetesting

LearningTechnologyselection

The Ontology Model

Ontologymodell

HRM selection and recruitment

Competencymapping

Contextbased

LearningCurricula

development

Adaptivetesting

LearningTechnologyselection

Scope of Activities

Task

Group of tasks

Competence Competence Module

Knowledge Area

is part of

requires

ensures

prerequisite

requires

Curriculum Module

belongs to

specifies

serves

element of

specifies

serves

requires

is part of

prerequisite

prerequisite

element of

requires knowledge of

is part of

Basic concept Theorem Example

refers to

premise

conclusion

refers to

refers to

refers to

is part of is part of is part of

is part of

Test questions

R. Vas, 2007

Educational

ontology

Curricula Development

Ontologymodell

HRM selection and recruitment

Competencymapping

Contextbased

LearningCurricula

development

Adaptivetesting

LearningTechnologyselection

Curricula Development

• Conceptual framework for courses

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

requires knowledge of

part of

Basic concept Theorem Example

refers to

premise

conclusion

refers to

refers to

refers to

part of part of part of

Knowledge Area

Curriculum

belongs to element of

requires knowledge of

part of

Basic concept Theorem Example

refers to

premise

conclusion

refers to

refers to

refers to

part of part of part of

Knowledge Area

Curriculum

belongs to element of

Curricula Development

• Different types of connections between the nodes

• Learning Content is developed in Semantic MediaWiki

• Example: Studio MediaWiki

Adaptive testing

Ontologymodell

HRM selection and recruitment

Competencymapping

Contextbased

LearningCurricula

development

Adaptivetesting

LearningTechnologyselection

Adaptive Testing• Questions are connected to the Ontology nodes

• Test engine is adaptive: continuously monitors students’ performance

• A Built-in reasoning engine identifies the missing knowledge areas

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

• Based on this information content is offered automatically

• Demo Video

• Interactive Web Demonstration

Learning Technology Selection

Ontologymodell

HRM selection and recruitment

Competencymapping

Contextbased

LearningCurricula

development

Adaptivetesting

LearningTechnologyselection

Learning Technology Selection

• Based on the Ontology for the E-learning Manager Course

• Technology requirements of eLearning delivery havebeen identified

Learning Technology Selection

• For investments seamless set of technological criteria is now available

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

HRM Selection and Recruitment

Ontologymodell

HRM selection and recruitment

Competencymapping

Contextbased

LearningCurricula

development

Adaptivetesting

LearningTechnologyselection

HRM Selection and Recruitment

Scope of Activities

Task

Group of tasks

Competence Competence Module

Knowledge Area

is part of

requires

ensures

prerequisite

requires

Curriculum Module

belongs to

specifies

serves

element of

specifies

serves

requires

is part of

prerequisite

prerequisite

element of

requires knowledge of

is part of

Basic concept Theorem Example

refers to

premise

conclusion

refers to

refers to

refers to

is part of is part of is part of

is part of

Test questions

R. Vas, 2007

Educational

ontology

HRM Selection and Recruitment

HRM Selection and RecruitmentThis ontology based system has the potential to be powerful tool

to:

• 1) select job applicants,

• 2) train job incumbents,

• 3) assess job performance,

• 4) map an organization’s human capital in light of strategic workforce planning considerations

Competency Mapping

Ontologymodell

HRM selection and recruitment

Competencymapping

Contextbased

LearningCurricula

development

Adaptivetesting

LearningTechnologyselection

Competency mapping

Context Based Learning

Ontologymodell

HRM selection and recruitment

Competencymapping

Contextbased

LearningCurricula

development

Adaptivetesting

LearningTechnologyselection

Context Sensitivity (Contsens)

• The mobile device is a sensor:Location

Identity

Surroundings of the learner

Amount of light

Biophysical reactions of the learner

Etc…

• Based on this complex measurement, content is delivered automatically

Contsens Project

Contsens Project

• Flash Based application –as an external module

• 4 different courses (two art ourses, IT, language learning)

• Content delivery based on user profile and location

• project website: www.ericsson.com/contsens

Mobilised Learning Environment

Ontology modell

HRM selection and recruitment

Competencymapping

Contextbased

LearningCurricula

development

Adaptivetesting

LearningTechnologyselection

Corvinno Studio Architecture

More information

kismihok@corvinno.hu