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Creating student groups with similar characteristics: A heuristic approach

Author

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  • Mingers, J.
  • O'Brien, F. A.

Abstract

This paper describes an algorithm for classifying elements with binary valued attributes so that the classes are similar. The problem chosen for discussing is that of allocating students to groups within an educational setting. Individual students are described by a set of binary-valued attributes. The objective of the algorithm is to create working groups which are similar to each other in terms of their mix of student attributes. The algorithm uses an information theory measure. The paper also compares the performance of the algorithm to a goal programming formulation of the problem.

Suggested Citation

  • Mingers, J. & O'Brien, F. A., 1995. "Creating student groups with similar characteristics: A heuristic approach," Omega, Elsevier, vol. 23(3), pages 313-321, June.
    • Handle: RePEc:eee:jomega:v:23:y:1995:i:3:p:313-321
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    Citations

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    Cited by:

    1. Bhadury, Joyendu & Mighty, E. Joy & Damar, Hario, 2000. "Maximizing workforce diversity in project teams: a network flow approach," Omega, Elsevier, vol. 28(2), pages 143-153, April.
    2. O'Brien, F. A. & Mingers, J., 1997. "A heuristic algorithm for the equitable partitioning problem," Omega, Elsevier, vol. 25(2), pages 215-223, April.
    3. Arne Schulz, 2024. "Efficient neighborhood evaluation for the maximally diverse grouping problem," Annals of Operations Research, Springer, vol. 341(2), pages 1247-1265, October.
    4. Kondor, Gábor, 2022. "Egyoldali párosítási piacok nehézségi eredményei magasabb dimenzióban [Hardness results of one-sided matching markets in higher dimensions]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 825-840.
    5. Iszan Hana Kaharudin & Mohammad Syuhaimi Ab-Rahman & Roslan Abd-Shukor & Azamin Zaharim & Mohd Jailani Mohd Nor & Ahmad Kamal Ariffin Mohd Ihsan & Shahrom Md Zain & Afiq Hipni & Kamisah Osman & Ruszym, 2022. "How Does Supervision Technique Affect Research? Towards Sustainable Performance: Publications and Students from Pure and Social Sciences," Sustainability, MDPI, vol. 14(9), pages 1-18, May.
    6. Schulz, Arne, 2021. "The balanced maximally diverse grouping problem with block constraints," European Journal of Operational Research, Elsevier, vol. 294(1), pages 42-53.
    7. Şenay Ağca & Burak Eksioglu & Jay B. Ghosh, 2000. "Lagrangian solution of maximum dispersion problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(2), pages 97-114, March.
    8. Arne Schulz, 2022. "A new mixed-integer programming formulation for the maximally diverse grouping problem with attribute values," Annals of Operations Research, Springer, vol. 318(1), pages 501-530, November.
    9. Mustafa, A. & Goh, M., 1996. "Multi-criterion models for higher education administration," Omega, Elsevier, vol. 24(2), pages 167-178, April.
    10. Akkan, Can & Erdem Külünk, M. & Koçaş, Cenk, 2016. "Finding robust timetables for project presentations of student teams," European Journal of Operational Research, Elsevier, vol. 249(2), pages 560-576.
    11. Sara Mohamed Abdelaziz El-Menawy & Pancie Salah Saleh, 2023. "How does the mediating role of the use of social media platforms foster the relationship between employer attractiveness and generation Z intentions to apply for a job?," Future Business Journal, Springer, vol. 9(1), pages 1-13, December.
    12. Saber, Hussein M. & Ghosh, Jay B., 2001. "Assigning students to academic majors," Omega, Elsevier, vol. 29(6), pages 513-523, December.
    13. Stewart Robinson & Maureen Meadows & John Mingers & Frances A. O'Brien & Estelle A. Shale & Stephanie Stray, 2003. "Teaching OR/MS to MBAs at Warwick Business School: A Turnaround Story," Interfaces, INFORMS, vol. 33(2), pages 67-76, April.
    14. Weitz, R. R. & Lakshminarayanan, S., 1997. "An empirical comparison of heuristic and graph theoretic methods for creating maximally diverse groups, VLSI design, and exam scheduling," Omega, Elsevier, vol. 25(4), pages 473-482, August.
    15. Sergio García & Valentina Cacchiani & Lieselot Vanhaverbeke & Martin Bischoff, 2014. "The table placement problem: a research challenge at the EWI 2007," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(1), pages 208-226, April.

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