Automized Assessment for Professional Skills—A Systematic Literature Review and Future Research Avenues

Leonie Rebecca Freise () and Ulrich Bretschneider ()
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Leonie Rebecca Freise: University of Kassel, Information Systems
Ulrich Bretschneider: University of Kassel, Information Systems

A chapter in Conceptualizing Digital Responsibility for the Information Age, 2025, pp 135-152 from Springer

Abstract: Abstract Globalization, technological progress, and demographic trends increasingly influence our labor markets. With changing labor markets and increasing digitalization, new competencies of workers are needed to meet demands. However, as a first step to developing these new skills, knowledge about the existing skills and their status quo is necessary. Here, automated skill assessment offers a crucial added value, as it can create a reliable and objective database. Based on a systematic investigation, our analysis shows, in four different areas, how skills and competencies in the automated assessment are (1) defined, (2) included as an element of analysis, (3) methodically recorded and processed, (4) which data source is used. In doing so, we offer insights into existing approaches to automated assessment of professional skills. We contribute to a better understanding of the design of automated skill assessment methods and provide perspectives on future research directions.

Keywords: Data reliability; Automated skill assessment; Natural language processing; Literature review (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-80119-8_9

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