2023
Smart Environment for Adaptive Learning of Cybersecurity Skills
VYKOPAL, Jan, Pavel ŠEDA, Valdemar ŠVÁBENSKÝ a Pavel ČELEDAZákladní údaje
Originální název
Smart Environment for Adaptive Learning of Cybersecurity Skills
Autoři
VYKOPAL, Jan (203 Česká republika, garant, domácí), Pavel ŠEDA (203 Česká republika, domácí), Valdemar ŠVÁBENSKÝ (703 Slovensko, domácí) a Pavel ČELEDA (203 Česká republika, domácí)
Vydání
IEEE Transactions on Learning Technologies, 2023, 1939-1382
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 3.700 v roce 2022
Kód RIV
RIV/00216224:14610/23:00130180
Organizační jednotka
Ústav výpočetní techniky
UT WoS
001012684000012
Klíčová slova anglicky
adaptive and intelligent educational systems; intelligent tutoring systems; learning environments; virtual labs; security
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 11. 9. 2023 09:47, doc. Ing. Pavel Čeleda, Ph.D.
Anotace
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.
Návaznosti
EF16_019/0000822, projekt VaV |
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