20.500.12556/RUL-171599 SmartICST a smart information and cyber security training approach for older adults An increasingly aging population, widespread internet connectivity, and an increasing number of cybersecurity incidents bring many challenges for the future of information security. Older adults, in particular, are a highly vulnerable demographic, often targeted by cyber attackers. This paper aims to develop an approach that enables the identification of different groups of users of information systems according to their requirements for information and cyber security training (ICST). To achieve this, we surveyed 784 older adults residing in the UK recruited through the Prolific platform. First, S-HAIS-Q (Shortened Human Aspects of Information Security Questionnaire) was used to assess their information security performance. Through hierarchical clustering and k-means clustering, we identified five distinct groups. Additionally, predictive clustering trees (PCTs) were employed to simultaneously perform clustering and classification, providing deeper insights into the characteristics of these groups. This approach provides a segmentation framework highlighting the potential for customizing ICST to address the diverse needs of different groups of older adults. The results of our study indicate that it is possible to tailor and optimize ICST even among older adults who are more proficient in computer use than the general older adult population. predictive analytics clustering adult learning education lifelong learning 21st century abilities information literacy napovedna analitika gručenje učenje odraslih izobraževanje vseživljensko učenje sposobnosti 21. stoletja informacijska pismenost true false true Angleški jezik Slovenski jezik Članek v reviji 2025-08-28 14:52:52 2025-08-28 14:52:53 2026-06-06 03:30:24 0000-00-00 00:00:00 2025 0 0 Str. 19911–19932 iss. 14 Vol. 30 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004:37 1360-2357 10.1007/s10639-025-13564-y 234214915 s10639-025-13564-y.pdf s10639-025-13564-y.pdf 1 B3546D385A378A8482A55AA580E720AB 1d1566f4ec2784e1c6c923ec8398e6bf4a35eb4d075b9e531ca4494ca3595e8b 845fe4b1-60be-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=235007 https://link.springer.com/article/10.1007/s10639-025-13564-y 1 cc8c836d-840d-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=214978 Fakulteta za računalništvo in informatiko 0 0 0