Exploring Large Language Model-Powered Pedagogical Approaches to Cybersecurity Education
Chola Chhetri · 2024
The adoption of artificial intelligence (AI) technologies by businesses and corporations is rising. AI technologies continue to be adopted in cybersecurity for both defensive and offensive strategies. However, threat actors also persist in utilizing these technologies to enhance the speed, accuracy, and sophistication of their attacks. Hence, it is essential to train the next generation of cybersecurity learners not only on how to use AI technology but also on how to leverage these technologies to enhance the efficiency of their work. This extended abstract describes our exploratory work on the use of generative AI-based pedagogical approaches in cybersecurity education. This extended abstract will describe some preliminary findings on large language model-powered pedagogical approaches to cybersecurity education and training. These approaches will help cybersecurity educators enhance their teaching methods to equip learners with the essential skills needed to succeed in the dynamic field of cybersecurity.