CPPJ

Cybersecurity Pedagogy and Practice Journal

Volume 5

V5 N1 Pages 4-16

Apr 2026


Enhancing Student Learning in Information Security Courses: Integrating Generative AI, Critical Thinking, and Case-Based Pedagogy


Gary Yu Zhao
Northwest Missouri State University
Maryville, MO USA

Cindy Zhiling Tu
Northwest Missouri State University
Maryville, MO USA

Joni Adkins
Northwest Missouri State University
Maryville, MO USA

Abstract: Generative AI (GenAI) offers transformative potential in higher education, particularly in the field of information security. This study explores integrating GenAI tools into information security courses and proposes a structured framework that enhances critical thinking and problem-solving skills through case-based learning. By combining GenAI with the analytical framework, Motivation-Methods-Resources-Impact-Solutions (MMRIS), students gain a deeper understanding of complex cyber incidents and practical experience in GenAI-supported cybersecurity analysis. The approach fosters critical thinking across six dimensions and helps students allocate more time to higher-level tasks, such as evaluation and regulatory compliance. The findings suggest that GenAI tools can accelerate scenario comprehension and enrich educational outcomes.

Download this article: CPPJ - V5 N1 Page 4.pdf


Recommended Citation: Zhao, G., Tu, C., Adkins, J.K., (2026). Enhancing Student Learning in Information Security Courses: Integrating Generative AI, Critical Thinking, and Case-Based Pedagogy. Cybersecurity Pedagogy and Practice Journal 5(1) pp 4-16. https://doi.org/10.62273/STAD3184