Web-based Active Learning Modules for Teaching Statistical Quality Control

工程NEC(59)这个项目正在开发四个学习模块，以改善统计质量控制(SQC)的教学和学生学习，并将SQC工具应用于实践。正在开发的学习模块使学生能够通过网络界面培养检查和修改虚拟工厂所需的更高层次的思维技能，以(1)使用生产和质量指标对过程的质量进行基准测试，(2)应用卓越的7(常见的质量控制改进工具)来确定改进的机会，(3)设计和实施变量控制图，以及(4)进行过程能力分析。这些模块为学生提供了分析工厂当前运行状况的框架，选择工厂最合适的部分来应用质量控制工具，设计和实施质量控制工具，并评估质量改进项目的有效性。正在为每个模块制定目标，并将其纳入评估学生的学习，并用作改善学生学习的反馈机制。西班牙裔本科生和研究生正在参与研究，三个考点中有两个是为拉美裔服务的机构。正在通过一个项目网站、与三个考点的互动、向当地专业学会介绍情况和出版研究结果来广泛传播结果。

Engineering NEC (59) This project is developing four learning modules to improve instruction, student learning of statistical quality control (SQC), and to apply SQC tools in practice. The learning modules being developed enable a student to develop the higher-order thinking skills needed to examine and modify a virtual plant through a web interface to (1) benchmark the quality of a process using production and quality metrics, (2) apply the Magnificent 7 (common SQC improvement tools) to identify opportunities for improvement, (3) design and implement control charts for variables and (4) conduct a process capability analysis. The modules provide the framework for students to analyze the current operating condition of a plant, select the most appropriate portion of the plant to apply SQC tools, design and implement the SQC tool and evaluate the effectiveness of the quality improvement project. Objectives are being developed for each module, incorporated into assessing student learning and used as a feedback mechanism to improve student learning. Hispanic undergraduate and graduate students are participating in research and two of the three test sites are Hispanic-serving institutions. Results are being broadly disseminated through a project website, interactions with three test sites, presentations to local professional societies and publication of research results.