@inproceedings{3eda45a8edb249f290a92bc2bca9bc92,
title = "Psychometric Evaluation of the Cybersecurity Curriculum Assessment",
abstract = "We present a psychometric evaluation of the Cybersecurity Curriculum Assessment (CCA), completed by 193 students from seven colleges and universities. The CCA builds on our prior work developing and validating a Cybersecurity Concept Inventory (CCI), which measures students' conceptual understanding of cybersecurity after a first course in the area. The CCA deepens the conceptual complexity and technical depth expectations, assessing conceptual knowledge of students who had completed multiple courses in cybersecurity. We review our development of the CCA and present our evaluation of the instrument using Classical Test Theory and Item-Response Theory. The CCA is a difficult assessment, providing reliable measurements of student knowledge and deeper information about high-performing students.",
keywords = "classical test theory, concept inventories, cybersecurity assessment tools (cats), cybersecurity curriculum assessment, cybersecurity education, item response theory, psychometrics",
author = "Herman, {Geoffrey L.} and Shan Huang and Peterson, {Peter A.} and Linda Oliva and Enis Golaszewski and Sherman, {Alan T.}",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 54th ACM Technical Symposium on Computer Science Education, SIGCSE 2023 ; Conference date: 15-03-2023 Through 18-03-2023",
year = "2023",
month = mar,
day = "2",
doi = "10.1145/3545945.3569762",
language = "English (US)",
series = "SIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education",
publisher = "Association for Computing Machinery",
pages = "228--234",
booktitle = "SIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education",
address = "United States",
}