Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Repository of the University of Ljubljana
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Advanced
New in RUL
About RUL
In numbers
Help
Sign in
Details
SmartICST : a smart information and cyber security training approach for older adults
ID
Fujs, Damjan
(
Author
),
ID
Vrhovec, Simon
(
Author
),
ID
Hovelja, Tomaž
(
Author
),
ID
Vavpotič, Damjan
(
Author
)
PDF - Presentation file,
Download
(2,31 MB)
MD5: E9456264BA5A2616679283D334D01F64
URL - Source URL, Visit
https://link.springer.com/article/10.1007/s10639-025-13564-y
Image galllery
Abstract
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.
Language:
English
Keywords:
predictive analytics
,
clustering
,
adult learning
,
education
,
lifelong learning
,
21st century abilities
,
information literacy
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FRI - Faculty of Computer and Information Science
Publication status:
Published
Publication version:
Version of Record
Year:
2025
Number of pages:
22 str.
Numbering:
Vol. , no.
PID:
20.500.12556/RUL-171599
UDC:
004:37
ISSN on article:
1360-2357
DOI:
10.1007/s10639-025-13564-y
COBISS.SI-ID:
234214915
Publication date in RUL:
28.08.2025
Views:
222
Downloads:
43
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Education and information technologies
Shortened title:
Educ. inf. technol.
Publisher:
Springer Nature
ISSN:
1360-2357
COBISS.SI-ID:
3733799
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
napovedna analitika
,
gručenje
,
učenje odraslih
,
izobraževanje
,
vseživljensko učenje
,
sposobnosti 21. stoletja
,
informacijska pismenost
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0426-2022
Name:
Digitalna preobrazba za pametno javno upravljanje
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
J5-3111-2021
Name:
e@ser | Varna uporaba pametnih naprav med starejšimi: Nasproti na izobraževanju temelječi prevenciji kibernetske kriminalitete
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back