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Towards a Management Science Perspective for Recurrent Education

Author

Listed:
  • Vincent P. Houghton

    (The Open University, Milton Keynes, England)

  • Tony E. Gear

    (The Open University, Milton Keynes, England)

Abstract

Many models to aid decision-taking in education of a strategic nature have been put forward in the literature, but there has been little response from educational administrators. In order to pinpoint the reasons for this, a revolutionary concept, recurrent education, is examined in detail. The beginnings of a mathematical programming model applicable to this concept are presented. It appears from this study that the problems of planning education are connected with: setting objectives; defining input-output relationship, which is essentially uncertain in nature; measuring achievements on often long-time scales; handling multiple objectives and defining them in an operational form; including stochastic aspects of educational processes.

Suggested Citation

  • Vincent P. Houghton & Tony E. Gear, 1975. "Towards a Management Science Perspective for Recurrent Education," Interfaces, INFORMS, vol. 5(2), pages 1-10, February.
    • Handle: RePEc:inm:orinte:v:5:y:1975:i:2:p:1-10
    DOI: 10.1287/inte.5.2.1
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    Cited by:

    1. Ruijgrok, Th.W. & Niemeijer, Th., 1976. "The classical one-dimensional Heisenberg magnet in an external magnetic field. Transfer matrix formalism as an application of renormalization group theory “avant la lettre”," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 84(2), pages 336-349.
    2. Nightingale, M.P, 1975. "Scaling theory and finite systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 83(3), pages 561-572.
    3. Hu, Bambi, 1979. "Renormalization group study of the one dimensional quantum mechanical XY model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 99(1), pages 330-336.
    4. Van Dieren, F. & Van Leeuwen, J.M.J., 1986. "Renormalization of the gas-liquid transition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 136(1), pages 21-46.

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