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Ontology Based Content Ontology Based Content Management 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