A data-driven approach to aligning academic offerings with industry needs for business and economy in Slovenia

Andonovikj, Viktor (author), Boshkoska, Biljana Mileva (author), Redek, Tjaša (author), Boškoski, Pavle (author)

The success of graduates and their employability hinge on a crucial alignment between the skills and competencies sought by employers and those possessed by job seekers. This study delves into the extent to which the competencies cultivated in the curricula of selected Slovenian universities align with the ever-evolving requirements of the Slovenian labour market. Employing a combination of LLaMA-2-7B-chat, a generative language model, and the multilingual Sentence Transformer, a contextual language model, we identify skill gaps and pinpoint the most in-demand competencies that align with those generated by the faculty. This data-driven approach offers a roadmap for confirming the relevance and enhancing the university curricula, thus fostering a stronger connection between education and employment as well as improving the labour market efficiency.

• Language: English
• Keywords: labour market, decision making, artificial intelligence, decision support, language models, data-driven insights
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: EF - School of Economics and Business
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: Str. 284-296
• Numbering: Vol. 33, no. S1
• PID: 20.500.12556/RUL-167625
• UDC: 331.5
• ISSN on article: 1246-0125
• DOI: 10.1080/12460125.2024.2354587
• COBISS.SI-ID: 195922179
• Publication date in RUL: 04.03.2025

Record is a part of a journal

• Title: Journal of decision systems
• Publisher: Taylor & Francis
• ISSN: 1246-0125
• COBISS.SI-ID: 515053593

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

• Language: Slovenian
• Keywords: trg dela, odločanje, umetna inteligenca