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A constrained optimization model for...
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Colorado State University.
A constrained optimization model for partitioning students into cooperative learning groups.
Record Type:
Electronic resources : Monograph/item
Title/Author:
A constrained optimization model for partitioning students into cooperative learning groups.
Author:
Heine, Matthew Alan.
Published:
Ann Arbor : ProQuest Dissertations & Theses, 2016
Description:
36 p.
Notes:
Source: Masters Abstracts International, Volume: 55-05.
Notes:
Adviser: Michael Kirby.
Contained By:
Masters Abstracts International55-05(E).
Subject:
Applied mathematics.
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10138918
ISBN:
9781339944746
A constrained optimization model for partitioning students into cooperative learning groups.
Heine, Matthew Alan.
A constrained optimization model for partitioning students into cooperative learning groups.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 36 p.
Source: Masters Abstracts International, Volume: 55-05.
Thesis (M.S.)--Colorado State University, 2016.
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.
ISBN: 9781339944746Subjects--Topical Terms:
377601
Applied mathematics.
A constrained optimization model for partitioning students into cooperative learning groups.
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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.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10138918
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