@inproceedings{8df7ce371fb5438da64b906324b33270,
title = "Modeling student scheduling preferences in a computer-based testing facility",
abstract = "When undergraduate students are allowed to choose a time slot in which to take an exam from a large number of options (e.g., 40), the students exhibit strong preferences among the times. We found that students can be effectively modelled using constrained discrete choice theory to quantify these preferences from their observed behavior. The resulting models are suitable for load balancing when scheduling multiple concurrent exams and for capacity planning given a set schedule.",
keywords = "Asynchronous exams, Capacity planning, Computerized testing, Discrete choice theory, Student modeling",
author = "Matthew West and Craig Zilles",
note = "Publisher Copyright: Copyright {\textcopyright} 2016 ACM ISBN/14/04...$15.00.; 3rd Annual ACM Conference on Learning at Scale, L@S 2016 ; Conference date: 25-04-2016 Through 26-04-2016",
year = "2016",
month = apr,
day = "25",
doi = "10.1145/2876034.2893441",
language = "English (US)",
series = "L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale",
publisher = "Association for Computing Machinery",
pages = "309--312",
booktitle = "L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale",
address = "United States",
}