Smart Environment for Adaptive Learning of Cybersecurity Skills

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F23%3A00130180" target="_blank" >RIV/00216224:14610/23:00130180 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/9926178" target="_blank" >https://ieeexplore.ieee.org/document/9926178</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TLT.2022.3216345" target="_blank" >10.1109/TLT.2022.3216345</a>

Result language

angličtina

Original language name

Smart Environment for Adaptive Learning of Cybersecurity Skills

Original language description

Hands-on computing education requires a realistic learning environment that enables students to gain and deepen their skills. Available learning environments, including virtual and physical labs, provide students with real-world computer systems but rarely adapt the learning environment to individual students of various proficiency and background. We designed a unique and novel smart environment for adaptive training of cybersecurity skills. The environment collects a variety of student data to assign a suitable learning path through the training. To enable such adaptiveness, we proposed, developed, and deployed a new tutor model and a training format. We evaluated the learning environment using two different adaptive trainings attended by 114 students of various proficiency. The results show students were assigned tasks with a more appropriate difficulty, which enabled them to successfully complete the training. Students reported that they enjoyed the training, felt the training difficulty was appropriately designed, and would attend more training sessions like these. Instructors can use the environment for teaching any topic involving real-world computer networks and systems because it is not tailored to particular training. We freely released the software along with exemplary training so that other instructors can adopt the innovations in their teaching practice.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Learning Technologies

ISSN

1939-1382

e-ISSN

—

Volume of the periodical

16

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

443-456

UT code for WoS article

001012684000012

EID of the result in the Scopus database

2-s2.0-85140790687