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An Integer Linear Programming Model Based on Competences for Student-Industry Placement Allocation

Authors:

Moumena Salah Yassen,

Victor Sanchez-Anguix,

Juan M. Alberola,

Fulgencia VillaAuthors Info & Claims

SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing

Pages 104 - 105

https://doi.org/10.1145/3605098.3636173

Published: 21 May 2024 Publication History

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Abstract

Allocating students to industry placements is a necessary task in educational contexts that need optimization techniques. This article proposes a novel integer linear programming model where, differently to other proposals, students' and businesses' preferences are represented by means of competences. The model has been evaluated by using commercial and non-commercial solvers, showing the need for alternative open algorithms for larger instances.

References

[1]

Abdella Yimam Ali. 2021. Greedy algorithm for solving student allocation problem in internship program: a case study. International journal of research in industrial engineering 10, 2 (2021), 155--164.

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[2]

Dhananjay Thiruvady, Kerri Morgan, Susan Bedingfield, and Asef Nazari. 2021. Allocating students to industry placements using integer programming and ant colony optimisation. Algorithms 14, 8 (2021), 219.

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Cited By

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Yassen MSanchez-Anguix VAlberola JVilla FJulian VBotti V(2024)Exploring an Artificial Intelligence Model Based on Integer Linear Programming for Allocating Students to Industry PlacementsMethodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference10.1007/978-3-031-73538-7_9(90-102)Online publication date: 28-Dec-2024
https://doi.org/10.1007/978-3-031-73538-7_9

Index Terms

An Integer Linear Programming Model Based on Competences for Student-Industry Placement Allocation
1. Applied computing
  1. Education
  2. Operations research
2. Computing methodologies
  1. Artificial intelligence

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Information

Published In

SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing

April 2024

1898 pages

ISBN:9798400702433

DOI:10.1145/3605098

Chair:
Jiman Hong,
Program Chairs:
Juw Won Park,
Adam Przybyłek

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 May 2024

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SAC '24

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SIGAPP

SAC '24: 39th ACM/SIGAPP Symposium on Applied Computing

April 8 - 12, 2024

Avila, Spain

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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SAC '25

Sponsor:
sigapp

The 40th ACM/SIGAPP Symposium on Applied Computing

March 31 - April 4, 2025

Catania , Italy

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Yassen MSanchez-Anguix VAlberola JVilla FJulian VBotti V(2024)Exploring an Artificial Intelligence Model Based on Integer Linear Programming for Allocating Students to Industry PlacementsMethodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference10.1007/978-3-031-73538-7_9(90-102)Online publication date: 28-Dec-2024
https://doi.org/10.1007/978-3-031-73538-7_9

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