Modeling student scheduling preferences in a computer-based testing facility

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

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.

Original languageEnglish (US)
Title of host publicationL@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale
PublisherAssociation for Computing Machinery, Inc
Pages309-312
Number of pages4
ISBN (Electronic)9781450337267
DOIs
StatePublished - Apr 25 2016
Event3rd Annual ACM Conference on Learning at Scale, L@S 2016 - Edinburgh, United Kingdom
Duration: Apr 25 2016Apr 26 2016

Publication series

NameL@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale

Other

Other3rd Annual ACM Conference on Learning at Scale, L@S 2016
CountryUnited Kingdom
CityEdinburgh
Period4/25/164/26/16

Keywords

  • Asynchronous exams
  • Capacity planning
  • Computerized testing
  • Discrete choice theory
  • Student modeling

ASJC Scopus subject areas

  • Education
  • Software
  • Computer Science Applications
  • Computer Networks and Communications

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  • Cite this

    West, M., & Zilles, C. (2016). Modeling student scheduling preferences in a computer-based testing facility. In L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale (pp. 309-312). (L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale). Association for Computing Machinery, Inc. https://doi.org/10.1145/2876034.2893441