Web-based Active Learning Modules for Teaching Statistical Quality Control

本项目正在开发四个学习模块，以改善教学，学生对统计质量控制（SQC）的学习，并在实践中应用SQC工具。正在开发的学习模块使学生能够培养通过网络界面检查和修改虚拟工厂所需的高阶思维技能，以便(1)使用生产和质量指标对过程质量进行基准测试，(2)应用Magnificent 7（常见SQC改进工具）识别改进机会，(3)设计和实施变量控制图，(4)进行过程能力分析。这些模块为学生分析工厂当前的运行状况，选择工厂最合适的部分应用SQC工具，设计和实施SQC工具以及评估质量改进项目的有效性提供了框架。正在为每个模块制定目标，纳入学生学习评估，并用作改进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，三个测试地点中有两个是为西班牙裔服务的机构。结果通过一个项目网站、与三个试验点的互动、向当地专业协会作报告和发表研究结果广泛传播。

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.