The document proposes an ontology-based, adaptive system to support personnel selection and recruitment processes. It discusses using educational ontologies to develop customized eLearning content for competency-based testing and selection. The proposed architecture would map job role ontologies to domain ontologies to generate adaptive tests within a learning management system. A case scenario applies the system to selecting candidates for a specific job role using existing documentation to build the job role ontology and customize the testing engine.

1. HR meets eLearning: An
Ontology based, adaptive
selection and recruitment
process support
Gábor Kismihók Dr. Stefan Mol
EDEN Annual Conference
Lisbon, 12/06/2008

2. Contents
• Who we are?
• Ontology Based educational content development
• Personnel selection theories
• Proposed training system architecture
• Case scenario
• Invitation
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3. Experience
• eLearning and mLearning research
EU Projects: socrates mLearning, Contsens, Impact
• Knowledge management
Educational Ontology Development, Content Management
System Development, Adaptive Systems, IS Integration
• HRM
Selection and Recruitment, Workplace Training
www.corvinno.hu
www.abs.uva.nl/hrmob
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4. Ontology based education
Group of
specifies
tasks
• Educational Ontology serves is part of
specifies
Describing complex is part
of
Scope of Task
is part of
Activities serves
systems in a requires
requires
structured way element of Competence
prerequisite Competence Module
• Adaptive Testing requires ensures prerequisite
element of
Knowledge belongs to Curriculum
• Customized content is part of
Area requires
knowledge of Module
is part of prerequisite
is part of is part of
• Competency based Basic premise refers to
refers to
Theorem Example
concept
• Integrated into conclusion refers to
Learning refers to
Environment Vas, 2007 Test questions
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5. Personnel Selection
Binning and Barrett’s (1989) elaborated model for personnel decision research 5

6. 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
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
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7. Architecture
Job-Role Ontology Domain Ontology Applicant/Staff
Mapping Adaptive Testing
A
A’
Corporate Portal
B B’ Person 2
Authoring
Environment
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8. 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
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9. Interdisciplinarity
9

10. More information
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