HR meets eLearning: An Ontology based, adaptive selection and recruitment process support
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Transcript of HR meets eLearning: An Ontology based, adaptive selection and recruitment process support
HR meets eLearning: An Ontology based, adaptive selection and recruitment
process supportprocess support
EDEN Annual Conference
Lisbon, 12/06/2008
Gábor Kismihók Dr. Stefan Mol
Contents
• Who we are?
• Ontology Based educational content development
• Personnel selection theories
• Proposed training system architecture• Proposed training system architecture
• Case scenario
• Invitation
2
Experience
• eLearning and mLearning research
EU Projects: socrates mLearning, Contsens, Impact
• Knowledge management
Educational Ontology Development, Content Management
System Development, Adaptive Systems, IS IntegrationSystem Development, Adaptive Systems, IS Integration
• HRM
Selection and Recruitment, Workplace Training
www.corvinno.hu
www.abs.uva.nl/hrmob3
Ontology based education
• Educational Ontology
Describing complex
systems in a
structured way
• Adaptive Testing
Scope of
ActivitiesTask
Group of
tasks
CompetenceCompetence
Module
is part
of
requires
prerequisite
requires
specifies
serves
specifies
serves
is part of
element of
is part of
Scope of
ActivitiesTask
Group of
tasks
CompetenceCompetence
Module
is part
of
requires
prerequisite
requires
specifies
serves
specifies
serves
is part of
element of
is part of
• Adaptive Testing
• Customized content
• Competency based
• Integrated into
Learning
Environment
Knowledge
Area
ensures
Curriculum
Module
belongs to
element ofrequires
prerequisite
prerequisite
requires
knowledge of
is part of
Basic
conceptTheorem Example
refers to
premise
conclusion
refers to
refers to
refers to
is part of is part of is part of
Test questions
Knowledge
Area
ensures
Curriculum
Module
belongs to
element ofrequires
prerequisite
prerequisite
requires
knowledge of
is part of
Basic
conceptTheorem Example
refers to
premise
conclusion
refers to
refers to
refers to
is part of is part of is part of
Test questionsVas, 2007
4
Personnel Selection
Binning and Barrett’s (1989) elaborated model for personnel decision research 5
Personnel selection
• The traditional approach
� Predicting job performance on the basis of individual differences variables (such as the Five Factor Model or General Mental Ability GMA)
• Empirical success in showing that predictors relate to job performance, but WHY?
• Little is known as to why personality • Little is known as to why personality and GMA predict job performance
• Black Box theories
• Knowledge has been suggested as a mediator in the relationship between GMA and Job performance
• Little research
6
Architecture
Mapping Adaptive Testing
Domain OntologyJob-Role Ontology Applicant/Staff
AA’
Person 2
B B’
Corporate Portal
Authoring
Environment
7
Personnel selection – Case Scenario
Trial for a single Job Role
� Job for which lots of documentation is already available
� Call center employees / police / military / sales agents
• Constructing the JR Ontology
• Customizing the test engine
• Integration with a VLE
8
Interdisciplinarity
9
More information
10