Skip to main content

Competence Mining to Improve Training Programs

  • Conference paper
  • First Online:
Innovative Technologies and Learning (ICITL 2020)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Formerly the Joint Information Systems Committee (https://www.jisc.ac.uk).

  2. 2.

    Organisation for Economic Co-operation and Development.

  3. 3.

    https://www.oecdskillsforjobsdatabase.org.

  4. 4.

    Centre Européen pour le Développement de la Formation Professionnelle.

  5. 5.

    BOC Group: Business Process Management with Adonis, http://www.boc-group.com/products/adonis/en/.

  6. 6.

    The BPMN model and the transformation program are available on the GitHub (https://github.com/szabinaf/BPM2OWL/).

  7. 7.

    uk.indeed.com.

  8. 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. 9.

    The “ability” and “able” as keywords were used to describe the meaning of competence.

References

  1. JISC: Preparing for Education 4.0. https://www.timeshighereducation.com/hub/jisc/p/preparing-education-40. Accessed 2019

  2. JISC: Digital skills crucial to the success of fourth industrial revolution. https://www.jisc.ac.uk/news/digital-skills-crucial-to-the-success-of-fourth-industrial-revolution. Accessed 2019

  3. Rasika, L., Lim, F.C., Haslinda, A.: Strengths and weaknesses of education 4.0 in the higher education institution. Int. J. Innovative Technol. Exploring Eng. (IJITEE) 9(2S3) (2019). ISSN: 2278-3075

    Google Scholar 

  4. Akgül, H.: Examining the impact of industry 4.0 on education. J. Awareness (JoA) 5, 159–168 (2020)

    Google Scholar 

  5. Rowe, C.: Clarifying the use of competence and competency models in recruitment, assessment and staff development. Ind. Commercial Training 27, 12–17 (1995)

    Article  Google Scholar 

  6. Hecklau, F., Galeitzke, M., Flachs, S., Kohl, H.: Holistic approach for human resource management in industry 4.0. Procedia CIRP 54, 1–6 (2016)

    Google Scholar 

  7. Wikle, T.A., Fagin, T.D.: Hard and soft skills in preparing GIS professionals: comparing perceptions of employers and educators. Trans. GIS 19, 641–652 (2015)

    Article  Google Scholar 

  8. Lippman, L.H., Ryberg, R., Carney, R., Moore, K.: Workforce connections: key “soft skills” that foster youth workforce success: toward a consensus across fields | VOCED plus, the international tertiary education and research database. Child Trends publication (2015)

    Google Scholar 

  9. Havnes, A., Prøitz, T.S.: Why use learning outcomes in higher education? Exploring the grounds for academic resistance and reclaiming the value of unexpected learning. Educ. Asse. Eval. Acc. 28(3), 205–223 (2016). https://doi.org/10.1007/s11092-016-9243-z

    Article  Google Scholar 

  10. Prøitz, T.S.: Learning outcomes: What are they? Who defines them? When and where are they defined? Educ. Asse. Eval. Acc. 22, 119–137 (2010). https://doi.org/10.1007/s11092-010-9097-8

    Article  Google Scholar 

  11. Forehand, M.: Bloom’s taxonomy. Emerg. Perspect. Learn. Teach. Technol. 41, 47–56 (2010)

    Google Scholar 

  12. OECD: Getting Skills Right: Skills for Jobs Indicators. OECD (2017)

    Google Scholar 

  13. Cedefop: Skill forecast. http://www.cedefop.europa.eu/en/publications-and-resources/data-visualisations/skills-forecast

  14. Bakhshi, H., Downing, J.M., Osborne, M.A., Schneider, P.: The future of skills: employment in 2030. Pearson (2017)

    Google Scholar 

  15. Szabó, I., Neusch, G.: Dynamic skill gap analysis using ontology matching. In: Kő, A., Francesconi, E. (eds.) EGOVIS 2015. LNCS, vol. 9265, pp. 231–242. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22389-6_17

    Chapter  Google Scholar 

  16. Ternai, K., Fodor, S., Szabó, I.: Business process matching analytics. In: Doucek, P., Basl, J., Tjoa, A.M., Raffai, M., Pavlicek, A., Detter, K. (eds.) CONFENIS 2019. LNBIP, vol. 375, pp. 85–94. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-37632-1_8

    Chapter  Google Scholar 

  17. Jackson, D.A., Somers, K.M., Harvey, H.H.: Similarity coefficients: measures of co-occurrence and association or simply measures of occurrence? Am. Nat. 133, 436–453 (1989)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ildikó Szabó .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Szabó, I., Ternai, K., Fodor, S. (2020). Competence Mining to Improve Training Programs. In: Huang, TC., Wu, TT., Barroso, J., Sandnes, F.E., Martins, P., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2020. Lecture Notes in Computer Science(), vol 12555. Springer, Cham. https://doi.org/10.1007/978-3-030-63885-6_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-63885-6_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63884-9

  • Online ISBN: 978-3-030-63885-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics