20.500.12556/DKUM-93789 Artificial intelligence in knowledge management for higher education transformative impact, challenges, and future directions post-COVID-19 The COVID-19 pandemic has accelerated the integration of Artificial Intelligence (AI) in Knowledge Management (KM) within higher education, particularly in the Federal Technical and Vocational Training (TVT) sector. This systematic review synthesizes current research on AI-based KM in higher education during the pandemic, aiming to elucidate its effectiveness, challenges, and future directions. Following PRISMA guidelines, we conducted a comprehensive search across major databases, including Web of Science, Scopus, and ERIC, identifying 69 relevant studies published between 2020 and 2023. Our analysis reveals that AI-based KM has significantly enhanced personalized learning experiences, improved health safety measures, and increased administrative efficiency in higher education. However, challenges persist, including technological barriers, ethical concerns, and the digital divide. The review highlights a notable research gap in empirical studies validating AI's effectiveness in real-world educational settings, particularly in developing countries. Furthermore, there is a critical need for comprehensive ethical frameworks governing AI use in education. Our findings underscore the transformative potential of AI-based KM in higher education, while emphasizing the necessity for context-specific implementations and rigorous evaluation methodologies. This review provides valuable insights for educators, policymakers, and researchers, guiding future developments in AI-based KM strategies for resilient and inclusive higher education systems in the post-pandemic era. artificial intelligence knowledge management higher education COVID-19 systematic review umetna inteligenca upravljanje znanja visokošolsko izobraževanje COVID-19 sistematični pregled true false true Angleški jezik Slovenski jezik Znanstveno delo 2025-07-21 11:55:33 2025-07-21 11:55:33 2025-07-22 03:10:10 0000-00-00 00:00:00 2025 0 0 str. 344-359 št. 3s Letn. 10 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-09-29 2024-12-12 2025-01-01 004.8:378 229764355 10.52783/jisem.v10i3s.414 2468-4376 RAZ_Gebregziabher_Hagos_Haftom_2025.pdf RAZ_Gebregziabher_Hagos_Haftom_2025.pdf 1 42DD135B9D60077930E952E6D08B0BFF 0c990c913e89cff877790c6b787295f781c51affcd7067862aa931c2a840dd57 7d8dabcc-6619-11f0-bcda-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=193857 https://doi.org/10.52783/jisem.v10i3s.414 1 da6c0f5e-6618-11f0-bcda-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=193856 Fakulteta za naravoslovje in matematiko 0 0 0