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ERIC Number: EJ1482252
Record Type: Journal
Publication Date: 2025-Sep
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2211-1662
EISSN: EISSN-2211-1670
Available Date: 2025-05-26
Leveraging Virtual Reality for Neurodivergent Representation in Cybersecurity Education: An Emerging Technology Report
Noah Glaser1; Zeinab Parishani1; Amogh Chetankumar Joshi1; Prasad Calyam2
Technology, Knowledge and Learning, v30 n3 p1757-1770 2025
As Virtual Reality (VR) gains traction in education, its potential to support neurodivergent learners in cybersecurity training remains underexplored. This emerging technology report examines how VR can bridge the gap between STEM education and cybersecurity training for neurodivergent individuals, highlighting both its promise and the challenges that must be addressed. While VR-based cybersecurity simulations offer immersive, hands-on learning experiences that align with neurodivergent strengths, existing implementations often overlook critical accessibility considerations. This emerging technology report reviews current VR-based cybersecurity training systems, and provides insights and limitations in how they are supporting neurodivergent users. This report also addresses key challenges in this area of research such as cybersickness, the lack of neurodivergent representation in VR development, and the difficulty in creating realistic cybersecurity simulations. Given the rapid evolution of VR in cybersecurity education, ensuring accessibility requires intentional design choices and co-development with neurodivergent learners. We conclude by identifying research gaps and advocating for a more inclusive approach to VR-based cybersecurity education that fosters diversity within the field.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Authoring Institution: N/A
Grant or Contract Numbers: 2302596
Author Affiliations: 1University of Missouri, School of Information Science & Learning Technologies, Columbia, USA; 2University of Missouri, Department of Electrical Engineering and Computer Science, Columbia, USA