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Developing Optimal Student Plans of Study

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  • R. Alan Bowman

    (Reh School of Business, Clarkson University Capital Region Campus, Schenectady, New York 12308)

Abstract

Advisors in a small graduate program needed to be able to help students with a wide variety of needs and preferences in terms of starting term, pace of study, program of study, and mode of course delivery to identify plans of study in a dynamic fashion and enable them to follow those plans. Course sections were limited and needed to serve multiple programs and all types of students in those programs. Last-second schedule changes due to overly large or small registration numbers were problematic. Special arrangements to allow students to graduate on time were frequent and costly and lowered academic quality. Analytical tools were developed to help with the planning and alleviate these issues. The tools and the overall approach should be of interest to educational institutions and programs that need to offer a wide variety of students extensive flexibility and choices within a highly constrained scheduling environment.

Suggested Citation

  • R. Alan Bowman, 2021. "Developing Optimal Student Plans of Study," Interfaces, INFORMS, vol. 51(6), pages 409-421, November.
  • Handle: RePEc:inm:orinte:v:51:y:2021:i:6:p:409-421
    DOI: 10.1287/inte.2021.1083
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    References listed on IDEAS

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    1. Burke, Edmund Kieran & Petrovic, Sanja, 2002. "Recent research directions in automated timetabling," European Journal of Operational Research, Elsevier, vol. 140(2), pages 266-280, July.
    2. Janice K. Winch & Jack Yurkiewicz, 2014. "Case Article—Class Scheduling with Linear Programming," INFORMS Transactions on Education, INFORMS, vol. 15(1), pages 143-147, September.
    3. Ofer Strichman, 2017. "Near-Optimal Course Scheduling at the Technion," Interfaces, INFORMS, vol. 47(6), pages 537-554, December.
    4. Pongcharoen, P. & Promtet, W. & Yenradee, P. & Hicks, C., 2008. "Stochastic Optimisation Timetabling Tool for university course scheduling," International Journal of Production Economics, Elsevier, vol. 112(2), pages 903-918, April.
    5. Vid Ogris & Tomaž Kristan & Andrej Škraba & Marko Urh & Davorin Kofjač, 2016. "iUrnik: Timetabling for Primary Educational Institutions in Slovenia," Interfaces, INFORMS, vol. 46(3), pages 231-244, April.
    6. Jan Stallaert, 1997. "Automated Timetabling Improves Course Scheduling at UCLA," Interfaces, INFORMS, vol. 27(4), pages 67-81, August.
    7. Scott E. Sampson & James R. Freeland & Elliott N. Weiss, 1995. "Class Scheduling to Maximize Participant Satisfaction," Interfaces, INFORMS, vol. 25(3), pages 30-41, June.
    8. Werner Junginger, 1986. "Timetabling in Germany---A Survey," Interfaces, INFORMS, vol. 16(4), pages 66-74, August.
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    Cited by:

    1. Fabian Dunke & Stefan Nickel, 2023. "A matheuristic for customized multi-level multi-criteria university timetabling," Annals of Operations Research, Springer, vol. 328(2), pages 1313-1348, September.

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