Abstract:

Locally hosted, Docker-based laboratories offer a scalable and accessible approach to strengthening cybersecurity education, particularly in courses requiring real-world investigative and analytical skills. This paper presents the design, deployment, and assessment of a structured weekly hands-on laboratory framework implemented entirely within student-hosted Docker environments. The modular lab activities integrate digital forensics workflows, simulated cyber-attack scenarios, memory and network analysis tools, and containerized docker environments that allow students to safely experiment with complex system behaviors. Developed for both undergraduate and graduate curricula, these Docker-based laboratories aim to enhance conceptual understanding, reduce anxiety associated with technically intensive content, and promote meaningful engagement with authentic cybersecurity tasks. Students from diverse academic and technical backgrounds participated throughout the semester, completing weekly practice-driven lab modules on their local systems. Empirical data collected through performance assessments, and analytics generated by automated Docker deployment scripts demonstrated significant gains in student learning outcomes. Participants exhibited an 85-90% improvement in task accuracy, tool proficiency, and confidence relative to traditional lecture-only instruction. Statistical analysis indicates that the failure-tolerant, exploratory nature of Docker-based labs reduces learning anxiety to some extent compared to independent tool installation and supports deeper cognitive integration of complex concepts. Student feedback emphasized increased preparedness for real-world cybersecurity challenges and professional environments. This work contributes a reproducible instructional model that institutions can adopt to enrich STEM curricula, expand experiential learning opportunities, and strengthen workforce readiness. Ongoing enhancements include extending lab modules to mobile and IoT forensics, cloud incident response, and adversarial machine learning. The findings underscore the broader pedagogical value of immersive Docker-based laboratory experiences in cultivating long-term competency, engagement, and resilience in cybersecurity education.

Keywords:

Cybersecurity education, Docker-based learning, hands-on laboratories, digital forensics, experiential learning, locally hosted environments, STEM education, instructional innovation, higher education.