HR meets eLearning: An Ontology based, adaptive selection and recruitment process support

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

Transcript of HR meets eLearning: An Ontology based, adaptive selection and recruitment process support

Page 1: 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

Page 2: HR meets eLearning: An Ontology based, adaptive selection and  recruitment process support

Contents

• Who we are?

• Ontology Based educational content development

• Personnel selection theories

• Proposed training system architecture• Proposed training system architecture

• Case scenario

• Invitation

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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

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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

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Personnel Selection

Binning and Barrett’s (1989) elaborated model for personnel decision research 5

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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

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Architecture

Mapping Adaptive Testing

Domain OntologyJob-Role Ontology Applicant/Staff

AA’

Person 2

B B’

Corporate Portal

Authoring

Environment

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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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Interdisciplinarity

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More information

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