eduworks kick-off presentation: uva - abs

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Dr. Stefan Mol's presentation about the Center of Job Knowledge research at the Eduworks project's kick-off meeting

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  eduworks-network.eu  

facebook.com/eduworksnetwork@EduworksNetwork

Introduction of ABS research projects

Center of Job Knowledge Research

• Why CJKR? Because job knowledge…• Is among the most important yet least understood individual level

drivers of the knowledge economy• Is imperative to successfully match people to jobs but largely neglected

in personnel selection research• Is an ultimate outcome against which both education and training must

be evaluated• Is a means to ensure public spending on education enhances

graduates’ opportunities, fit, and accomplishment on the labor market

www.jobknowledge.eu

“…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).

Job Knowledge

GMA Job knowledge Job Performance

Unequivocally Job Specific (albeit more portable for more related occupations)Undeniably Job General

Job Specific – Job General

Job Knowledge

Job Performanc

eGMA

Education

A personnel selection and training platform that takes an individualized approach to the assessment and development of job knowledge of ICT Systems analysts

www.ontohr.eu

Transfer of innovation: Development of job knowledge test and training platform for nurses

www.med-assess.eu

OntoTech

Extending portfolio of ICT Job Knowledge Tests for purposes of curriculum diagnostics and development

UvAInform

Learning analytics is “the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs” (SOLAR 2012).

Internal UvA project aimed at the pan-university development of an educational data informed student feedback interface.

ESR1: Leveraging the potential of job knowledge to fit individuals to jobs: Studies in

Personnel SelectionResearch• State of the art on job knowledge based personnel selection: A (quantitative)

literature review• Development and psychometric validation of job knowledge tests for purposes of

personnel selection• Field and (quasi) experimental studies providing support for the (causal) job

knowledge mediated relationship between GMA and Job Performance

Data• Primary Studies, interviews with job incumbents (N>50) and HR Managers (N>20),

content analysis of vacancies and job databases, multisource surveys• We foresee close collaboration with ESR#2.

ESR2: Leveraging the potential of job knowledge to fit individuals to jobs: Studies in

trainingResearch• State of the art on job knowledge based training: A (quantitative) literature review• Development and psychometric validation of job knowledge tests for training needs

analysis and training validation• Field and (quasi) experimental studies providing support for the (causal) job knowledge

mediated relationship between training and Job Performance• Temporal dynamism in the co-development of job knowledge and job performance over

time.

Data• Primary Studies, interviews with job incumbents (N>50) and HR Managers (N>20), content

analysis of vacancies and job databases, multisource surveys• We foresee close collaboration with ESR#1.

ESR7: Labour market driven learning analytics

Research• State of the art on labour market context educational outcome measures: A literature

review• Exploring Person-Education-Labour market (mis)matches by merging big data from

education (HvA, UvA), Randstad, GITP, etc.• Identifying educational context predictors of labour market success• Provision of labour market validated feedback to current students to enhance their study

success

Data• Secondary data obtained from HvA and UvA student data warehouses, including grades,

behaviors in online learning environments), labour market data from associate partners (GITP, Randstad, etc).

Supervisory Team

Prof. Deanne den Hartog

Dr. Corine Boon Dr. Gabor Kismihok Dr. Stefan Mol

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