@inproceedings{f36a470bd461470b8f081c1f1dff568e,
title = "Student Perceptions of Fairness and Security in a Versioned Programming Exam",
abstract = "Using multiple versions of exams is a common exam security technique to prevent cheating in a variety of contexts. While psycho-metric techniques are routinely used by large high-stakes testing companies to ensure equivalence between exam versions, such approaches are generally cost and effort prohibitive for individual classrooms. As such, exam versions practically present a tension between exam security (which is enhanced by the versioning) and fairness (which results from difficulty variation between versions). In this work, we surveyed students on their perceptions of this trade-off between exam security and fairness on a versioned programming exam and found that significant populations value each aspect over the other. Furthermore, we found that students' expression of concerns about unfairness was not correlated to whether they had received harder versions of the course's most recent exam, but was correlated to lower overall course performance.",
keywords = "assessment, exam security, fairness, programming, question variants, randomized exams",
author = "Chinedu Emeka and Craig Zilles",
note = "Funding Information: This work was partially supported by NSF DUE-1915257 and the Grainger College of Engineering at the University of Illinois at Urbana-Champaign under the Strategic Instructional Initiatives Program (SIIP). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Publisher Copyright: {\textcopyright} 2020 ACM.; 16th Annual ACM Conference on International Computing Education Research, ICER 2020 ; Conference date: 10-08-2020 Through 12-08-2020",
year = "2020",
month = aug,
day = "10",
doi = "10.1145/3372782.3406275",
language = "English (US)",
series = "ICER 2020 - Proceedings of the 2020 ACM Conference on International Computing Education Research",
publisher = "Association for Computing Machinery",
pages = "25--35",
booktitle = "ICER 2020 - Proceedings of the 2020 ACM Conference on International Computing Education Research",
}