20.500.12556/RUL-167625 A data-driven approach to aligning academic offerings with industry needs for business and economy in Slovenia 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. labour market decision making artificial intelligence decision support language models data-driven insights trg dela odločanje umetna inteligenca true false true Angleški jezik Slovenski jezik Članek v reviji 2025-03-04 15:53:16 2025-03-04 15:53:21 2025-03-05 04:03:08 0000-00-00 00:00:00 2024 0 0 Str. 284-296 no. S1 Vol. 33 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 331.5 1246-0125 10.1080/12460125.2024.2354587 195922179 A_data-driven_approach_to_aligning_academic_offerings_with_industry_needs_for_business_and_economy_in_Slovenia.pdf A_data-driven_approach_to_aligning_academic_offerings_with_industry_needs_for_business_and_economy_in_Slovenia.pdf 1 44E635CEB002E62DA32B46A3B5EECB71 1350998873dd6b4eb2e571cafd4f79d64376ba0a7c1ba7fcf11ad80c44d58f15 d53a8eba-f907-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=200314 https://www.tandfonline.com/doi/full/10.1080/12460125.2024.2354587 0 bdeaa4c8-f907-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=200313 Ekonomska fakulteta 0 0 0