Empowering Cybersecurity Education:A Review of Adaptive Learning Paradigms and Practical Implications
Year: 2025
Type: article
Abstract: The landscape of cyberthreats is evolving with various new threats coming in every day. It is necessary to provide innovative educational approaches to individuals lacking the required knowledge or who are new to the Cyber domain through adapting to their specific profiles and the learning trajectory. Also, with the introduction of Artificial Intelligence (AI), it is of utmost priority to cater to personalised training for individuals, analysing user performance and creating and modifying tasks specific to it. This paper presents a systematic literature review of various studies related to the field of adaptive cybersecurity learning to facilitate its importance in the field of cybersecurity and analyse its implementation, frameworks adopted and the impact on learner’s outcomes. It also highlights insights related to the benefits from shifting away from the conventional methods of teaching to an AI-based and more personalised learning method, further providing adaptivity to the learning module and in turn to varied individuals using the platform. Although there are less research studies on this topic, the paper has tried to define the impact factor of how the proposed work can pave way towards developing an Adaptive AI Cybersecurity Education Tool which would incorporate all the shortcomings of the discussed review and formalise a better working model. Further research must be undertaken in the field for the inclusion of AI and adaptiveness in the learning methods.
Authors: Segupta, Sayak, Varma, Utkarsh, Islam, Tasmina; id_orcid 0000-0002-6437-8251
Institution: King's College London
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7084277567
FWCI:
Cites:
Cited by:
Related to: