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

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

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.

• Jezik: Angleški jezik
• Ključne besede: labour market, decision making, artificial intelligence, decision support, language models, data-driven insights
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: EF - Ekonomska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: Str. 284-296
• Številčenje: Vol. 33, no. S1
• PID: 20.500.12556/RUL-167625
• UDK: 331.5
• ISSN pri članku: 1246-0125
• DOI: 10.1080/12460125.2024.2354587
• COBISS.SI-ID: 195922179
• Datum objave v RUL: 04.03.2025

Gradivo je del revije

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

Licence

• Licenca: CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
• Opis: Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: trg dela, odločanje, umetna inteligenca