Embed Size (px)
Citation preview
Integrating Knowledge Management in the Context of Evidence Based Learning:
Two concept models for facilitating the assessment and acquisition of job knowledge
Stefan T. Mol
Gabor Kismihok Fazel Ansari
Mareike Dornhöfer
May 13th 2012 ISDT 2012, Mallorca, Spain
Contents
• Context
• The Med-Assess Concept
• The Meta Practitioner Concept
• Challenges
• Synthesis
• Questions / comments
“…people who are more intelligent learn more job knowledge and learn it faster, the major determinant of job performance is not GMA but job knowledge” (Schmidt and Hunter, 2001).
Point of departure
GMA Job knowledge Job
Performance
Job Knowledge: A tentative definition
The oftentimes job idiosyncratic and specifically defined know-how or evidence that is required of and by the job-holder to make sound decisions and thereby demonstrate successful job performance.
Job Knowledge
Job Knowledge Specificity
1 2 4 3 6 5 8 7 9 Su
bstan
tiation
Job Performance Specificity
1 2 4 3 6 5 8 7 9
Introducing Med-Assess
• MED-ASSESS is a personnel selection and training platform that takes an individualized approach to the assessment and development of job specific knowledge.
• Based on cutting edge semantic technology, MED-ASESS provides detailed personalized assessment and training of essential technical competencies and related job knowledge elements that are required for a particular job.
What will MED-ASSESS offer?
• General Mental Ability test • Customizable, adaptive job knowledge test for
medical employees (e.g., ward nurses, medical imaging nurses)
• Applicant ranking based on integrated Job Knowledge and GMA test performance
• Automatic and tailored e-Learning content delivery on the basis of test results
• Cutting-edge semantic technology for job knowledge structuring, testing, and evaluation
Benefits of MED-ASSESS to Organizations
• Efficient applicant screening
• Greater person – job fit.
• Cuts in selection and initial training costs
• Fully customizable tests and training modules
• Based on ONTO-HR (see www.ontohr.eu)
Benefits of MED-ASSESS to individuals
• Easy to access, online interface
• Easy to use and straightforward test environment
• Comprehensive presentation of results
• Personalized learning plan for knowledge deficiencies
• Fair and ethical testing
Unequivocally Job Specific (albeit more portable for more related occupations) Undeniably Job General
Job Specific – Job
General
Job
Knowledge
Job
Performance GMA
Education
The MED-ASSESS Concept
Unequivocally Job Specific (albeit more portable for more related occupations)
Job Specific – Job
General
Job
Knowledge
Job
Performance
Education
The META-PRACTITIONER Concept
Evidence based management
…is based on the belief that facing the hard facts about what works and what doesn’t, understanding the dangerous half-truths that constitute so much conventional wisdom about management, and rejecting the total nonsense that too often passes for sound advice will help organizations perform better.
Pfeffer & Sutton (2006)
Meta-Practitioner
• Aimed at facilitating practitioner access to academically accrued evidence through the automated conduct of meta-analysis
Systematic Reviews: Meta-analysis
Meta-analysis is a statistical technique of summarizing and aggregating the findings of large numbers of previous investigations into the strength of the relationship between two or more variables (for instance the correlation between general mental ability and job performance).
Systematic Reviews: Meta-analysis
Shaffer et al. 2006
Conclusions
• The importance and centrality of job knowledge in today’s knowledge based economy is undeniable
• Multidisciplinary approaches are needed to tackle the challenges inherent to modeling job knowledge
Research challenges
– both systems are currently mainly concerned with explicit knowledge that has in some way shape or form been documented. One challenge that awaits here is facilitating the automated processing and mapping into the ontologies of such knowledge.
– It should be recognized that job incumbents are likely to have significant know-how, and incorporating this latent knowledge into either system will be another significant challenge.
Research challenges
Technological challenges:
– (semi) automated ontology development
– Content development
– Validation
– Integration
• Into existing learning environments
• With educational programs
– Engaging stakeholders
Job Knowledge as Matchmaker
• Connecting:
– HRM, eLearning & Knowledge Management (foster collaboration)
– Academia and industry (Science and practice)
– Employees and workplaces (Enhanced Matching)
– Policy and Education (Training)
– Government and Labor Market (Needs analysis)
http://www.ontohr.eu
Dr. Stefan T. Mol
Assistant Professor in Organizational Behavior
Rm. M-2.36 | Plantage Muidergracht 12
1018 TV Amsterdam | The Netherlands T +31 20 525 5490 | F +31 20 525 4182 E [email protected] | I www.abs.uva.nl/pp/stmol
