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Student Flow in a University Department: Results of a Markov Analysis

Author

Listed:
  • E. Wailand Bessent

    (The University of Texas, Austin, Texas 78712)

  • Authella M. Bessent

    (The University of Texas, Austin, Texas 78712)

Abstract

Most of the applications of Management Science reported in the literature have been macroanalytic studies requiring massive expenditures of time and money, rather than useful applications for small systems involving little effort and cost. One such application was made at the University departmental level in which a Markov analysis was employed to study the progression of doctoral students to completion (with periods of nonenrollment accounted for) to determine if the number of current admissions was creating an undesirable future dissertation overload for supervising professors. The department unanimously approved the recommendation based on the study. Problems of implementation were avoided by having a department member (1) participating in the model development and data gathering and (2) presenting the results of the analysis to department members.

Suggested Citation

  • E. Wailand Bessent & Authella M. Bessent, 1980. "Student Flow in a University Department: Results of a Markov Analysis," Interfaces, INFORMS, vol. 10(2), pages 52-59, April.
    • Handle: RePEc:inm:orinte:v:10:y:1980:i:2:p:52-59
    DOI: 10.1287/inte.10.2.52
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    Cited by:

    1. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    2. Christopher Garcia, 2019. "Practice Summary: Managing Capacity at the University of Mary Washington’s College of Business," Interfaces, INFORMS, vol. 49(2), pages 167-171, March.
    3. Moore, James S, 1998. "An Expert System Approach to Graduate School Admission Decisions and Academic Performance Prediction," Omega, Elsevier, vol. 26(5), pages 659-670, October.
    4. Asma Benhenda, 2018. "What is the cost of grade retention?," DoQSS Working Papers 18-07, Quantitative Social Science - UCL Social Research Institute, University College London.

    More about this item

    Keywords

    queues: Markovian; education systems;

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