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2020 | OriginalPaper | Chapter

Competence Mining to Improve Training Programs

Authors : Ildikó Szabó, Katalin Ternai, Szabina Fodor

Published in: Innovative Technologies and Learning

Publisher: Springer International Publishing

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Abstract

Analysing of competence and skill shortage or surpluses is essential for educational institutes to prepare their students for satisfying labour market needs in time and comprehensively. Currently, changes in labour market needs are influenced by not just economical but also technological factors. ICT and digitalization play key roles in transformations of business processes including employees’ competences in executing these processes smoothly and effectively. Our research goal is to develop a competence mining method to identify and extract competences needed to fill job vacancies. Based on this new information the educational programs can be refined. This paper presents how to use business process models to extract competences from job vacancies and how this method evolved in time and what its contribution is to the training development based on learning outcome. Competence concept has a crucial role in this method, but it is defined on a broad scale that causes terminological diversity.

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Footnotes
1
Formerly the Joint Information Systems Committee (https://​www.​jisc.​ac.​uk).
 
2
Organisation for Economic Co-operation and Development.
 
4
Centre Européen pour le Développement de la Formation Professionnelle.
 
5
BOC Group: Business Process Management with Adonis, http://​www.​boc-group.​com/​products/​adonis/​en/​.
 
6
The BPMN model and the transformation program are available on the GitHub (https://​github.​com/​szabinaf/​BPM2OWL/​).
 
8
TF·IDF (term frequency-inverse document frequency): a statistical measure that evaluates how relevant a word is to a document in a collection of documents.
 
9
The “ability” and “able” as keywords were used to describe the meaning of competence.
 
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Metadata
Title
Competence Mining to Improve Training Programs
Authors
Ildikó Szabó
Katalin Ternai
Szabina Fodor
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-63885-6_17

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