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Your search keyword '"Assignment problem"' showing total 2 results
Start Over Descriptor "Assignment problem" Topic academic achievement
2 results on '"Assignment problem"'

1. Assigning students to schools to minimize both transportation costs and socioeconomic variation between schools.

Author

Bouzarth, Elizabeth L., Forrester, Richard, Hutson, Kevin R., and Reddoch, Lattie

Subjects
*ACADEMIC achievement, *SOCIOECONOMICS, *TRANSPORTATION costs, *DECISION making, *SCHOOL districts
Abstract

Abstract Several studies have found that students' academic achievement is as much determined by the socioeconomic composition of their school as their own socioeconomic status. In this paper we provide a methodology for assigning students to schools so as to balance the socioeconomic compositions of the schools while taking into consideration the total travel distance. Our technique utilizes a biobjective general 0–1 fractional program that is linearized into a mixed 0–1 linear program that can be submitted directly to a standard optimization package. We show how a parametrized model could be utilized to provide a spectrum of different possible assignments so that a decision maker can decide how to balance socioeconomic factors with transportation costs. As a test case for our approach we analyze data from the Greenville County School District in Greenville, South Carolina. [ABSTRACT FROM AUTHOR]

Published
2018
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2. Assigning students to schools to minimize both transportation costs and socioeconomic variation between schools

Author

Lattie Reddoch, Kevin R. Hutson, Elizabeth L. Bouzarth, and Richard J. Forrester

Subjects
South carolina, Economics and Econometrics, 021103 operations research, Linear programming, Operations research, Computer science, Strategy and Management, 05 social sciences, Geography, Planning and Development, 0211 other engineering and technologies, 050301 education, 02 engineering and technology, Variation (game tree), Academic achievement, Management Science and Operations Research, Decision maker, Test (assessment), Statistics, Probability and Uncertainty, 0503 education, Assignment problem, Socioeconomic status
Abstract

Several studies have found that students' academic achievement is as much determined by the socioeconomic composition of their school as their own socioeconomic status. In this paper we provide a methodology for assigning students to schools so as to balance the socioeconomic compositions of the schools while taking into consideration the total travel distance. Our technique utilizes a biobjective general 0–1 fractional program that is linearized into a mixed 0–1 linear program that can be submitted directly to a standard optimization package. We show how a parametrized model could be utilized to provide a spectrum of different possible assignments so that a decision maker can decide how to balance socioeconomic factors with transportation costs. As a test case for our approach we analyze data from the Greenville County School District in Greenville, South Carolina.

Published
2018

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