Pub Date : 2024-02-28DOI: 10.1287/ited.2023.0032cs
Chrysafis Vogiatzis, Eleftheria Kontou
This case study has been developed for students to practice their data analysis and optimization skills in a contemporary societal issue: that of injustice in automated traffic law enforcement. Specifically, this case study is for students of modern data analysis and statistical modeling courses that focus on hypothesis testing; it also has a component for students in optimization and mathematical modeling courses that focus on linear and network optimization. The case study has been used since Spring 2023 in a combination of two courses from the Industrial Engineering (Analysis of Data, an introduction to probability and statistics) and Civil Engineering (Transportation Systems, an introduction to mathematical modeling and optimization for civil engineers with a focus on transportation) curricula.History: This paper has been accepted for the INFORMS Transactions on Education Special Issue on DEI in ORMS Classrooms.
本案例研究是针对一个当代社会问题--自动交通执法中的不公正现象--而开发的，供学生练习数据分析和优化技能。具体来说，本案例研究适用于以假设检验为重点的现代数据分析和统计建模课程的学生；它还为以线性优化和网络优化为重点的优化和数学建模课程的学生提供了一个组成部分。自 2023 年春季起，该案例研究已被用于工业工程（数据分析，概率与统计入门）和土木工程（运输系统，土木工程师数学建模与优化入门，侧重于运输）课程中两门课程的组合：本论文已被 INFORMS Transactions on Education Special Issue on DEI in ORMS Classrooms 收录。
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Pub Date : 2024-02-28DOI: 10.1287/ited.2023.0032ca
Chrysafis Vogiatzis, Eleftheria Kontou
This case study has been developed for students to practice their data analysis and optimization skills in a contemporary societal issue: that of injustice in automated traffic law enforcement. Specifically, this case study is for students of modern data analysis and statistical modeling courses that focus on hypothesis testing; it also has a component for students in optimization and mathematical modeling courses that focus on linear and network optimization. The case study has been used since Spring 2023 in a combination of two courses from the Industrial Engineering (Analysis of Data, an introduction to probability and statistics) and Civil Engineering (Transportation Systems, an introduction to mathematical modeling and optimization for civil engineers with a focus on transportation) curricula.History: This paper has been accepted for the INFORMS Transactions on Education Special Issue on DEI in ORMS Classrooms.Supplemental Material: The Teaching Note and data files are available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .
本案例研究是针对一个当代社会问题--自动交通执法中的不公正现象--而开发的，供学生练习数据分析和优化技能。具体来说，本案例研究适用于以假设检验为重点的现代数据分析和统计建模课程的学生；它还为以线性优化和网络优化为重点的优化和数学建模课程的学生提供了一个组成部分。自 2023 年春季起，该案例研究已被用于工业工程（数据分析，概率与统计入门）和土木工程（运输系统，土木工程师数学建模与优化入门，侧重于运输）课程中两门课程的组合：本论文已被 INFORMS Transactions on Education Special Issue on DEI in ORMS Classrooms 收录：教学说明和数据文件可在 https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials 上获取。
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The coronavirus disease 2019 pandemic has affected higher education institutions worldwide as they had to switch from face-to-face to online teaching almost overnight. This abrupt change made a huge impact on teaching, learning, and particularly, student engagement. This paper focuses on online social presence as an element of student engagement, which represents how students feel under synchronous online teaching. A survey was conducted among 244 first-year students to evaluate the impact of online social interaction, online collaboration, online contact with staff, online engagement, and online active learning on online social presence. Structural equation modeling was used to test and evaluate these multivariate relationships. Our study illustrates that all variables have a significant positive relationship with online social presence. In particular, online social interaction and online collaboration show a more powerful relationship with student online social presence. Thus, digital technologies should be adopted in a way that encourages students to actively interact with their peers.
{"title":"How Has the COVID-19 Pandemic Affected Students’ Online Social Presence?","authors":"Hamidreza Panjehfouladgaran, Foteini Stavropoulou, Misha Teimouri","doi":"10.1287/ited.2022.0054","DOIUrl":"https://doi.org/10.1287/ited.2022.0054","url":null,"abstract":"The coronavirus disease 2019 pandemic has affected higher education institutions worldwide as they had to switch from face-to-face to online teaching almost overnight. This abrupt change made a huge impact on teaching, learning, and particularly, student engagement. This paper focuses on online social presence as an element of student engagement, which represents how students feel under synchronous online teaching. A survey was conducted among 244 first-year students to evaluate the impact of online social interaction, online collaboration, online contact with staff, online engagement, and online active learning on online social presence. Structural equation modeling was used to test and evaluate these multivariate relationships. Our study illustrates that all variables have a significant positive relationship with online social presence. In particular, online social interaction and online collaboration show a more powerful relationship with student online social presence. Thus, digital technologies should be adopted in a way that encourages students to actively interact with their peers.","PeriodicalId":37137,"journal":{"name":"INFORMS Transactions on Education","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139754387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1287/ited.2024.reviewthx.v24.n3
On behalf of the Editorial Board, I would like to thank the people below who acted as reviewers during the past year. Without your expert counsel and guidance, INFORMS Transactions on Education could not function. Please know your efforts are greatly appreciated!Stefan Creemers, Editor-in-Chief
{"title":"Appreciation to Reviewers, 2023","authors":"","doi":"10.1287/ited.2024.reviewthx.v24.n3","DOIUrl":"https://doi.org/10.1287/ited.2024.reviewthx.v24.n3","url":null,"abstract":"On behalf of the Editorial Board, I would like to thank the people below who acted as reviewers during the past year. Without your expert counsel and guidance, INFORMS Transactions on Education could not function. Please know your efforts are greatly appreciated!Stefan Creemers, Editor-in-Chief","PeriodicalId":37137,"journal":{"name":"INFORMS Transactions on Education","volume":"231 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139680032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vahid Roshanaei, Bahman Naderi, Opher Baron, Dmitry Krass
We present an interactive spreadsheet that supports teaching essential concepts in classification using the logistic regression (LoR) model for binary classification. The interactive spreadsheet demonstrates the capabilities of LoR by integrating computation with visualization. Students will reinforce concepts like probabilities, maximum likelihood estimation (MLE), and the use of likelihoods to optimize parameters for the LoR. We then discuss using LoR for classifications while adjusting its decision boundary (DB), demonstrating how to convert assigned likelihoods into classification using the DB; impact classification outcome by varying DBs; designate predictions as true positive, true negative, false positive, or false negative; and determine the classification accuracy. We use a variety of performance measures, including sensitivity, specificity, precision, negative predictive value, F1 and F2 scores, the receiver operating characteristics curve, and lift/decile charts. These measures are dynamically adjusted when the DB changes. We also reiterate the usage of these measures in the context of crossvalidation and imbalanced data sets. We provide a case study that implements LoR and an option for teaching the details behind MLE. We discuss the pedagogical aspects of this spreadsheet based on a survey of the 2022 student cohort in the Master of Management Analytics Program at the Rotman School of Management.
我们介绍了一种交互式电子表格，它支持使用二元分类的逻辑回归（LoR）模型教授分类的基本概念。交互式电子表格将计算与可视化相结合，展示了 LoR 的功能。学生们将巩固概率、最大似然估计 (MLE) 和使用似然值优化 LoR 参数等概念。然后，我们将讨论使用 LoR 进行分类，同时调整其决策边界 (DB)，演示如何使用 DB 将分配的似然值转换为分类；通过改变 DB 影响分类结果；将预测指定为真阳性、真阴性、假阳性或假阴性；以及确定分类准确性。我们使用了多种性能测量方法，包括灵敏度、特异性、精确度、阴性预测值、F1 和 F2 分数、接收者操作特征曲线和升降级图。当 DB 发生变化时，这些指标会进行动态调整。我们还重申了这些指标在交叉验证和不平衡数据集中的使用。我们提供了一个实现 LoR 的案例研究，以及一个教授 MLE 背后细节的选项。我们根据对罗特曼管理学院管理分析硕士课程 2022 届学生的调查，讨论了该电子表格的教学方面。
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Pub Date : 2024-01-11DOI: 10.1287/ited.2022.0072cs
Yue Zhang, William McCall, Jing-Sheng Song
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Pub Date : 2024-01-11DOI: 10.1287/ited.2022.0072ca
Yue Zhang, William McCall, Jing-Sheng Song
The case presents a sourcing problem and a manufacturing problem faced by an original equipment manufacturer, seeking recommendations for sourcing a diverse range of parts for high-voltage equipment, as well as making decisions on the manufacturing strategy for a component used in a water monitoring system. The case provides an opportunity to explore the qualitative and quantitative aspects of three-dimensional (3D) printing versus traditional manufacturing, specifically in terms of operational cost. Furthermore, this case facilitates discussions on the potential impact of 3D printing on supply chains. It is suitable for use in graduate and undergraduate courses, as it introduces key concepts such as manufacturing and inventory policies, queueing theory, and life cycle analysis. Ultimately, the case is designed to promote a deeper understanding of the challenges and opportunities that manufacturers face in today’s rapidly evolving technological landscape.Supplemental Material: The Teaching Note and supplemental data are available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .
{"title":"Case Article—Digitizing Spare Parts Supply Chain via 3D Printing: An Operational Cost Analysis","authors":"Yue Zhang, William McCall, Jing-Sheng Song","doi":"10.1287/ited.2022.0072ca","DOIUrl":"https://doi.org/10.1287/ited.2022.0072ca","url":null,"abstract":"The case presents a sourcing problem and a manufacturing problem faced by an original equipment manufacturer, seeking recommendations for sourcing a diverse range of parts for high-voltage equipment, as well as making decisions on the manufacturing strategy for a component used in a water monitoring system. The case provides an opportunity to explore the qualitative and quantitative aspects of three-dimensional (3D) printing versus traditional manufacturing, specifically in terms of operational cost. Furthermore, this case facilitates discussions on the potential impact of 3D printing on supply chains. It is suitable for use in graduate and undergraduate courses, as it introduces key concepts such as manufacturing and inventory policies, queueing theory, and life cycle analysis. Ultimately, the case is designed to promote a deeper understanding of the challenges and opportunities that manufacturers face in today’s rapidly evolving technological landscape.Supplemental Material: The Teaching Note and supplemental data are available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .","PeriodicalId":37137,"journal":{"name":"INFORMS Transactions on Education","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139459241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-04DOI: 10.1287/ited.2022.0042ca
Ngan N. Chau, Gregory E. Benson
This case study introduces students to the decision-making process of a facility location problem and requires them to apply appropriate methods to recommend a desirable terminal location for CBT, a transportation provider in the United States. In response to the increasing number of drivers in the Texas market, CBT explored different options to better serve the rising demand, including a new and second terminal in a different geographic area. Students employ multi-criteria decision-making framework and optimization modeling to support their analysis using empirical data. While students use provided data to solve the problem in the base case, they need to research various publicly available databases in the case extension. This case can be used in undergraduate courses in logistics, transportation, operations, and supply chain management to apply facility location related concepts, or in a business analytics course to illustrate optimization modeling in a real-world context.Supplemental Material: Data are available at https://doi.org/10.1287/ited.2022.0042ca . The Teaching Note is available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .
{"title":"Case Article—Locating a Truck Terminal in Texas","authors":"Ngan N. Chau, Gregory E. Benson","doi":"10.1287/ited.2022.0042ca","DOIUrl":"https://doi.org/10.1287/ited.2022.0042ca","url":null,"abstract":"This case study introduces students to the decision-making process of a facility location problem and requires them to apply appropriate methods to recommend a desirable terminal location for CBT, a transportation provider in the United States. In response to the increasing number of drivers in the Texas market, CBT explored different options to better serve the rising demand, including a new and second terminal in a different geographic area. Students employ multi-criteria decision-making framework and optimization modeling to support their analysis using empirical data. While students use provided data to solve the problem in the base case, they need to research various publicly available databases in the case extension. This case can be used in undergraduate courses in logistics, transportation, operations, and supply chain management to apply facility location related concepts, or in a business analytics course to illustrate optimization modeling in a real-world context.Supplemental Material: Data are available at https://doi.org/10.1287/ited.2022.0042ca . The Teaching Note is available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .","PeriodicalId":37137,"journal":{"name":"INFORMS Transactions on Education","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139374345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-04DOI: 10.1287/ited.2022.0042cs
Ngan N. Chau, Gregory E. Benson
{"title":"Case—Locating a Truck Terminal in Texas","authors":"Ngan N. Chau, Gregory E. Benson","doi":"10.1287/ited.2022.0042cs","DOIUrl":"https://doi.org/10.1287/ited.2022.0042cs","url":null,"abstract":"","PeriodicalId":37137,"journal":{"name":"INFORMS Transactions on Education","volume":"36 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139384865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 pandemic has caused a major disruption to higher education as face-to-face teaching had to shift to distance teaching overnight. In this paper, we describe the adaptation of an operations management undergraduate core module, taught to first-year students, from face-to-face delivery to emergency online delivery. In our online version, we used a mix of traditional and flipped classroom techniques. We adopted a “live” online lecture, where students were encouraged to interact with their instructors and ask questions, and flipped live online tutorials, where students and instructors discussed case studies. In addition, we used a web-based simulation game as a learning and assessment tool. After the simulation game was complete, we assessed our students using a reflective group presentation regarding the decisions they made throughout the game. Based on student feedback, the curriculum design and the module adaptations that we adopted for its emergency online delivery can be considered successful. In particular, students were satisfied with the module quality and structure. Following our experience from adapting our face-to-face module for emergency online delivery, we provide a framework for switching to emergency online teaching along with some useful insights and recommendations to operations management educators.
{"title":"Operations Management Curriculum Development Under Uncertain Situations: Lessons Learned From the Pandemic","authors":"Foteini Stavropoulou, Hamidreza Panjehfouladgaran, Misha Teimouri","doi":"10.1287/ited.2022.0074","DOIUrl":"https://doi.org/10.1287/ited.2022.0074","url":null,"abstract":"The COVID-19 pandemic has caused a major disruption to higher education as face-to-face teaching had to shift to distance teaching overnight. In this paper, we describe the adaptation of an operations management undergraduate core module, taught to first-year students, from face-to-face delivery to emergency online delivery. In our online version, we used a mix of traditional and flipped classroom techniques. We adopted a “live” online lecture, where students were encouraged to interact with their instructors and ask questions, and flipped live online tutorials, where students and instructors discussed case studies. In addition, we used a web-based simulation game as a learning and assessment tool. After the simulation game was complete, we assessed our students using a reflective group presentation regarding the decisions they made throughout the game. Based on student feedback, the curriculum design and the module adaptations that we adopted for its emergency online delivery can be considered successful. In particular, students were satisfied with the module quality and structure. Following our experience from adapting our face-to-face module for emergency online delivery, we provide a framework for switching to emergency online teaching along with some useful insights and recommendations to operations management educators.","PeriodicalId":37137,"journal":{"name":"INFORMS Transactions on Education","volume":"2022 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135536060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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