Smart Environment for Adaptive Learning of Cybersecurity Skills

J 2023

Smart Environment for Adaptive Learning of Cybersecurity Skills

VYKOPAL, Jan, Pavel ŠEDA, Valdemar ŠVÁBENSKÝ and Pavel ČELEDA

Basic information

Original name

Smart Environment for Adaptive Learning of Cybersecurity Skills

Authors

VYKOPAL, Jan (203 Czech Republic, guarantor, belonging to the institution), Pavel ŠEDA (203 Czech Republic, belonging to the institution), Valdemar ŠVÁBENSKÝ (703 Slovakia, belonging to the institution) and Pavel ČELEDA (203 Czech Republic, belonging to the institution)

Edition

IEEE Transactions on Learning Technologies, 2023, 1939-1382

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.700 in 2022

RIV identification code

RIV/00216224:14610/23:00130180

Organization unit

Institute of Computer Science

DOI

http://dx.doi.org/10.1109/TLT.2022.3216345

UT WoS

001012684000012

Keywords in English

adaptive and intelligent educational systems; intelligent tutoring systems; learning environments; virtual labs; security

Abstract

V originále

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.

Links

EF16_019/0000822, research and development project

Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

Files attached

2022-TLT-smart-environment-adaptive-learning-cybersecurity-skills.pdf

Find similar documents

Citovat

VYKOPAL, Jan, Pavel ŠEDA, Valdemar ŠVÁBENSKÝ and Pavel ČELEDA. Smart Environment for Adaptive Learning of Cybersecurity Skills. IEEE Transactions on Learning Technologies. 2023, vol. 16, No 3, p. 443-456. ISSN 1939-1382. Available from: https://dx.doi.org/10.1109/TLT.2022.3216345.

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   author = {Vykopal, Jan and Šeda, Pavel and Švábenský, Valdemar and Čeleda, Pavel},
   article_number = {3},
   doi = {http://dx.doi.org/10.1109/TLT.2022.3216345},
   keywords = {adaptive and intelligent educational systems; intelligent tutoring systems; learning environments; virtual labs; security},
   language = {eng},
   issn = {1939-1382},
   journal = {IEEE Transactions on Learning Technologies},
   title = {Smart Environment for Adaptive Learning of Cybersecurity Skills},
   url = {https://ieeexplore.ieee.org/document/9926178},
   volume = {16},
   year = {2023}
}

TY  - JOUR
ID  - 2246149
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TI  - Smart Environment for Adaptive Learning of Cybersecurity Skills
JF  - IEEE Transactions on Learning Technologies
VL  - 16
IS  - 3
SP  - 443-456
EP  - 443-456
SN  - 19391382
KW  - adaptive and intelligent educational systems
KW  - intelligent tutoring systems
KW  - learning environments
KW  - virtual labs
KW  - security
UR  - https://ieeexplore.ieee.org/document/9926178
N2  - 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.
ER  -

VYKOPAL, Jan, Pavel ŠEDA, Valdemar ŠVÁBENSKÝ and Pavel ČELEDA. Smart Environment for Adaptive Learning of Cybersecurity Skills. \textit{IEEE Transactions on Learning Technologies}. 2023, vol.~16, No~3, p.~443-456. ISSN~1939-1382. Available from: https://dx.doi.org/10.1109/TLT.2022.3216345.

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