Dynamic Integration and Optimization of NetCyber Activities (DIONA) System using Artificial Intelligence for Cybersecurity Education
Russell L. Diona
a
,
Dante L. Silva
b
,
Kevin Lawrence M. De Jesus
c
,
Bernard S. Villaverde
b
,
Edgar M. Adina
d
,
Carmelo John E. Vidal
a
,
Esther B. Vedaña
a
,
Imelda E. Cuartel
a
,
Amalia G. Dela Cruz
a
,
Lorena U. Ontangco
a
,
Diosdado C. Caronongan
a
,
Meriam P. Leopoldo
e
a Graduate School, University of Luzon, Dagupan City, Philippines
b School of Civil, Environmental, and Geological Engineering, Mapúa University, Manila, Philippines
c Department of Civil Engineering, FEU Institute of Technology, Manila, Philippines
d Mathematics Department, Mapúa University, Manila, Philippines
e College of Engineering and Architecture, Mapúa Malayan Colleges Mindanao, Davao, Philippines
2025 International Conference on Distance Education and Learning (ICDEL), (2025), pp. 139-145
Abstract: The inclusion of Artificial Intelligence (AI) and Machine Learning (ML) into cybersecurity education offers a significant opportunity to customize learning, improve engagement, and connect theoretical concepts with practical applications. This study presents the Dynamic Integration and Optimization of NetCyber Activities (DIONA) system which is an AI-enhanced educational tool developed from the NetFusion Learning Academy (NLA) to tackle ongoing issues in conventional cybersecurity education, including restricted adaptability, absence of real-time feedback, and inadequate practical skill application. The study employs a systematic methodology based on four distinct objectives: (1) to assess the efficacy of NLA in improving student learning across five critical domains— knowledge retention, practical skills, engagement, conceptual understanding, and problem-solving; (2) to examine student and faculty perceptions of its educational value; (3) to develop the ACTIVE AI Framework for AI-driven pedagogy; and (4) to create and validate DIONA as an AI/ML-based experiential learning platform. Statistical and thematic analyses indicated that although NLA effectively enhances knowledge and engagement, deficiencies persist in practical skills and problem-solving, necessitating the incorporation of AI-powered tools. The ACTIVE AI Framework and DIONA system offer customized learning trajectories, AI-generated feedback, and immersive simulations that correspond with authentic cybersecurity challenges. Results endorse the significance of intelligent learning analytics and specialized AI systems in transforming technical education and equipping students for changing digital environments.