Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT

Fuente: arXiv
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Main Authors: Nowrozy, Raza, Jam, David
Format: Preprint
Published: 2024
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author Nowrozy, Raza
Jam, David
author_facet Nowrozy, Raza
Jam, David
contents The rapid advancement of generative Artificial Intelligence (AI) technologies, particularly Generative Pre-trained Transformer (GPT) models such as ChatGPT, has the potential to significantly impact cybersecurity. In this study, we investigated the impact of GPTs, specifically ChatGPT, on tertiary education in cybersecurity, and provided recommendations for universities to adapt their curricula to meet the evolving needs of the industry. Our research highlighted the importance of understanding the alignment between GPT's ``mental model'' and human cognition, as well as the enhancement of GPT capabilities to human skills based on Bloom's taxonomy. By analyzing current educational practices and the alignment of curricula with industry requirements, we concluded that universities providing practical degrees like cybersecurity should align closely with industry demand and embrace the inevitable generative AI revolution, while applying stringent ethics oversight to safeguard responsible GPT usage. We proposed a set of recommendations focused on updating university curricula, promoting agility within universities, fostering collaboration between academia, industry, and policymakers, and evaluating and assessing educational outcomes.
format Preprint
id arxiv_https___arxiv_org_abs_2403_11402
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT
Nowrozy, Raza
Jam, David
Computers and Society
Artificial Intelligence
The rapid advancement of generative Artificial Intelligence (AI) technologies, particularly Generative Pre-trained Transformer (GPT) models such as ChatGPT, has the potential to significantly impact cybersecurity. In this study, we investigated the impact of GPTs, specifically ChatGPT, on tertiary education in cybersecurity, and provided recommendations for universities to adapt their curricula to meet the evolving needs of the industry. Our research highlighted the importance of understanding the alignment between GPT's ``mental model'' and human cognition, as well as the enhancement of GPT capabilities to human skills based on Bloom's taxonomy. By analyzing current educational practices and the alignment of curricula with industry requirements, we concluded that universities providing practical degrees like cybersecurity should align closely with industry demand and embrace the inevitable generative AI revolution, while applying stringent ethics oversight to safeguard responsible GPT usage. We proposed a set of recommendations focused on updating university curricula, promoting agility within universities, fostering collaboration between academia, industry, and policymakers, and evaluating and assessing educational outcomes.
title Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2403.11402