Smart Environment for Adaptive Learning of Cybersecurity Skills

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