An optimization-based DSS for student-to-teacher assignment: Classroom heterogeneity and teacher performance measures
An optimization-based DSS for student-to-teacher assignment: Classroom heterogeneity and teacher performance measures
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DOI：
10.1016/j.dss.2019.02.006
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发表时间：
2019-04-01
影响因子：
7.5
通讯作者：
Michaels, David
中科院分区：
文献类型：
--
作者：
Bailey, Matthew D.;Michaels, David
管理员的大量暑期计划都花在试图将数百名学生分配给老师上。这些作业必须满足联邦指导方针、家长偏好和校长偏好，同时在学习成绩、行为支持和人口统计方面追求课堂平等和公平。此外，考虑到对教师日常生活和未来绩效评估的影响，教师往往对这些决定投入最多。这个问题是运筹学中标准问题的变体；然而，管理员通常缺乏构建和/或实施此类模型的技术专长或预算。为此，我们提出了一个基于开源电子表格模型的决策支持系统。我们将问题描述为一个混合整数规划，给出了实现的电子表格模型界面，并以一组学生数据为例进行了说明。该DSS于2018年秋季实施，将近600名学生分配到24个教室，节省了数十个工作人员和行政时间。经过微小的调整和/或重新定义，DSS将为全国约64,000名公立中小学校长中的许多人提供类似的价值。更广泛地说，所提出的模型是一个框架，用于开发和实施基于优化的决策支持系统，以帮助在各种潜在的偏好和团队组成限制下创建项目团队。
A significant amount of administrator's summer planning is spent attempting to assign hundreds of students to teachers. These assignments must satisfy federal guidelines, parent preferences, and principal preferences while pursuing classroom parity and equity in regards to academic performance, behavioral support, and demographics. In addition, teachers are often the most invested in these decisions given the impact on their day-to-day life and their future performance evaluations. This problem is a variant of a standard problem in operations research; however, administrators often lack the technical expertise or budgets to build and/or implement such models. We present an open-source spreadsheet model-based DSS to this purpose. We formulate the problem as a mixed integer program, present the implemented spreadsheet model interface, and illustrate on a set of student data. This DSS was implemented in the fall of 2018 for the assignment of close to 600 students to 24 classrooms saving dozens of staff and administration hours.With minor adaptions and/or redefinitions, the DSS would provide similar value to many of the roughly 64,000 public primary and middle school principals across the country. Even more generally, the model as presented is a framework for developing and implementing an optimization-based DSS for assistance in creating project teams under a variety of potential preferences and constraints on team composition.