Dissertation/Thesis Abstract

A constrained optimization model for partitioning students into cooperative learning groups
by Heine, Matthew Alan, M.S., Colorado State University, 2016, 36; 10138918
Abstract (Summary)

The problem of the constrained partitioning of a set using quantitative relationships amongst the elements is considered. An approach based on constrained integer programming is proposed that permits a group objective function to be optimized subject to group quality constraints. A motivation for this problem is the partitioning of students, e.g., in middle school, into groups that target educational objectives. The method is compared to another grouping algorithm in the literature on a data set collected in the Poudre School District.

Indexing (document details)
Advisor: Kirby, Michael
Commitee: Henry, Kimberly, Pinaud, Olivier
School: Colorado State University
Department: Mathematics
School Location: United States -- Colorado
Source: MAI 55/05M(E), Masters Abstracts International
Subjects: Applied Mathematics
Keywords: Cooperative learning, Integer programming, Partitioning
Publication Number: 10138918
ISBN: 978-1-339-94474-6
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