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Undergraduate Cybersecurity Redesign for the GenAI Era: Beyond Authentic Assessment

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The rise of generative artificial intelligence (GenAI) challenges the design, delivery, and integrity of assessments in undergraduate cybersecurity programs. While GenAI offers opportunities for enhancing instruction and learning, it also disrupts traditional written and authentic assessments, enabling students to bypass critical thinking and skill development. This paper examines institutional policies, pedagogical models, and assessment strategies to help instructors and programs adapt effectively. Drawing on recent studies, case examples, and curricular frameworks, the paper presents a rubric for addressing the use of GenAI by students in courses. These strategies can help maintain both the integrity and the relevance of cybersecurity education in a rapidly evolving technological context.

Original languageEnglish (US)
Title of host publicationACM SIGCITE 2025 - Proceedings of the 26th ACM Annual Conference on Cybersecurity and Information Technology Education
PublisherAssociation for Computing Machinery, Inc
Pages47-51
Number of pages5
ISBN (Electronic)9798400722400
DOIs
StatePublished - Dec 27 2025
Event26th ACM Annual Conference on Cybersecurity and Information Technology Education, ACM SIGCITE 2025 - Sacramento, United States
Duration: Nov 6 2025Nov 8 2025

Publication series

NameACM SIGCITE 2025 - Proceedings of the 26th ACM Annual Conference on Cybersecurity and Information Technology Education

Conference

Conference26th ACM Annual Conference on Cybersecurity and Information Technology Education, ACM SIGCITE 2025
Country/TerritoryUnited States
CitySacramento
Period11/6/2511/8/25

All Science Journal Classification (ASJC) codes

  • Education
  • Law
  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design

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