20.500.12556/DKUM-96384 Beyond differences a generational convergence in technology use among business students The rapid digitalization of higher education has transformed how students learn, collaborate, and engage with emerging technologies such as artificial intelligence (AI). While earlier research emphasized generational or academic-level differences in digital behavior, recent evidence suggests convergence in technology use. This study explores whether undergraduate and postgraduate students at the Faculty of Economics and Business, University of Maribor, display distinct technology engagement patterns across five constructs: excessive technology use, online collaboration, the use of digital learning tools (E-boards), the use of AI in education, and perceived academic success. A survey among 285 students was analyzed using the non-parametric Mann–Whitney U test due to a non-normal data distribution. The findings showed that postgraduate students did not report higher levels of E-Board use, online collaboration, or perceived academic success. Undergraduate students scored higher on one item related to excessive technology use, but not across the full construct. However, significant differences emerged in AI use, where postgraduate students showed greater confidence and willingness to integrate AI tools. The findings suggest that digital competence and the quality of technology integration, rather than study level, shape students’ learning experiences. Higher education institutions should promote balanced and ethical technology use, strengthen AI literacy, and foster self-regulated learning skills. higher education technology use online collaboration artificial intelligence perceived academic success undergraduate and postgraduate students true false true Angleški jezik Angleški jezik Znanstveno delo 2025-12-23 13:32:00 2025-12-23 13:32:01 2025-12-24 03:19:43 0000-00-00 00:00:00 2025 0 0 str. 1-26 issue 12, [art. no.] 1095 Vol. 13 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2025-10-31 2025-12-02 2025-12-03 378 262753027 10.3390/systems13121095 2079-8954 https://www.mdpi.com/2079-8954/13/12/1095 1 6263beb4-dffb-11f0-8aa3-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201678 RAZ_Cancer_Vesna_2025.pdf RAZ_Cancer_Vesna_2025.pdf 1 EB1021C5E0E9BD6A0B67E98DA57944CE 8e0a2a989127e7235a5ac16da13ff92876f233addaff3bbe44fa0a9ce9c1369d 948c0239-dffb-11f0-8aa3-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201680 Ekonomsko-poslovna fakulteta 0 0 0