"Smart University" project: fair matching of students to academic trajectories

Keywords: matching problem of students to academic trajectories, two-sided matching market, stable matching, lower quota, mathematical programming

Abstract

Subject. The goal of “Smart University” information system is to increase the efficiency and quality of the academic process at Saint Petersburg State University of Economics through the automation of its various aspects and phases which is based on mathematical modelling. The optimization model of finding a fair matching of students to academic trajectories is discussed in the paper as a mathematical kernel of one of the information system’s components.
Objectives. The goal of the paper is to provide an exact mathematical formulation and corresponding numerical results to the problem of finding a fair matching of students to academic trajectories, their preferences and academic performance was taken into account. 
Method. The optimization model was developed to find a matching in the many-to-one two-sided market, the corresponding concept of stable matching and conflicts was discussed.
Results. The optimization model of finding a fair matching was verified by numerical simulations with the full-scale data for the students of the “Econоmics” academic program of the Saint Petersburg State University of Economics. Numerical results demonstrated the effectiveness of the proposed model in finding a fair matching with a minimum number of conflicts and with a maximal level of satisfaction of agents from both sides of the market (students and academic trajectories) with the matching obtained.

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Author Biographies

Yuriy M. Vasiliev, Saint Petersburg State University of Economics

assist. Prof.

Ekaterina V. Glazunova, Saint Petersburg State University of Economics

Postgraduate Student

Gregory M. Fridman, Saint Petersburg State University of Economics

Dr. Sci. (Eng.), Full Prof.

References

Ивахненко, Д. А. (2021). Применение моделей двусторонних рынков в задаче распределения учебной нагрузки между преподавателями кафедры. Современная экономика: проблемы и решения, 9, 16–28. [Ivakhnenko, D. A. (2021). Application of Two-Sided Market Models in the Problem of Distributing the Teaching Load Between Teachers of the Department. Modern Economics: Problems and Solutions, 9, 16–28. (In Russian).] https://doi.org/10.17308/meps.2021.9/2667

Мину, М. (1990). Математическое программирование. Теория и алгоритмы. Москва, Наука. [Minu, M. (1990). Mathematical programming. Theory and algorithms. Moscow, Nauka Publ. (In Russian).]

Bir, P., Fleiner, T., Irving, R. W., & Manlove, D. F. (2010). The College Admissions problem with lower and common quotas. Theoretical Computer Science, 411(34–36), 3136–3153. https://doi.org/10.1016/j.tcs.2010.05.005

Boehmer, N., & Heeger, K. (2022). A Fine-grained View on Stable Many-to-one Matching Problems with Lower and Upper Quotas. ACM Transactions on Economics and Computation, 10(2). https://doi.org/10.1145/3546605

Charnes, A., & Cooper, W. W. (1962). Management Models and Industrial Applications of Linear Programming. New York, John Wiley and Sons.

Diebold, F., & Bichler, M. (2017). Matching with indifferences: A comparison of algorithms in the context of course allocation. European Journal of Operational Research, 260(1), 268–282. https://doi.org/10.1016/j.ejor.2016.12.011

Fleiner, T., & Kamiyama, N. (2016). A matroid approach to stable matchings with lower quotas. Mathematics of Operations Research, 41(2), 734–744. https://doi.org/10.1287/moor.2015.0751

Fragiadakis, D., Iwasaki, A., Troyan, P., Ueda, S., & Yokoo, M. (2015). Strategyproof matching with minimum quotas. ACM Transactions on Economics and Computation, 4(1). https://doi.org/10.1145/2841226

Gale, D., & Shapley, L. S. (2013). College admissions and the stability of marriage. American Mathematical Monthly, 120(5), 386–391. https://doi.org/10.4169/amer.math.monthly.120.05.386

Hylland, A., & Zeckhauser, R. (1979). The Efficient Allocation of Individuals to Positions. Journal of Political Economy, 87(2), 293–314. https://doi.org/10.1086/260757

Irving, R. W. (1994). Stable marriage and indifference. Discrete Applied Mathematics, 48(3), 261–272. https://doi.org/10.1016/0166-218X(92)00179-P

Kamada, Y., & Kojima, F. (2015). Efficient matching under distributional constraints: Theory and applications. American Economic Review, 105(1), 67–99. https://doi.org/10.1257/aer.20101552

Manlove, D. (2013). Algorithmics of Matching Under Preferences. World Scientific. https://doi.org/https://doi.org/10.1142/8591

Manlove, D. F., Irving, R. W., Iwama, K., Miyazaki, S., & Morita, Y. (2002). Hard variants of stable marriage. Theoretical Computer Science, 276(1–2), 261–279. https://doi.org/10.1016/S0304-3975(01)00206-7

Monte, D., & Tumennasan, N. (2013). Matching with quorums. Economics Letters, 120(1), 14–17. https://doi.org/10.1016/j.econlet.2013.03.007

Roth, A. E. (1986). On the Allocation of Residents to Rural Hospitals: A General Property of Two-Sided Matching Markets. Econometrica, 54(2), 425-427. https://doi.org/10.2307/1913160

Roth, A. E. (2008). Deferred acceptance algorithms: History, theory, practice, and open questions. International Journal of Game Theory, 36(3–4), 537–569. https://doi.org/10.1007/s00182-008-0117-6

Rothblum, U. G. (1992). Characterization of stable matchings as extreme points of a polytope. Mathematical Programming, 54(1–3), 57–67. https://doi.org/10.1007/BF01586041

Published
2024-03-31
How to Cite
Vasiliev, Y. M., Glazunova, E. V., & Fridman, G. M. (2024). "Smart University" project: fair matching of students to academic trajectories. Eurasian Journal of Economics and Management, (1), 16-24. https://doi.org/10.17308/econ.2024.1/11838
Section
Mathematical and Tool Methods of Economy