Integrating Computer Simulations and Hands-On Real-World Experimentations to Improve Undergraduate Manufacturing Engineering Education

工程-其他（59）本项目通过开发一种创新模式，利用动手实践的经验，显著提高认知学习和学生动机，从而改善本科制造工程教育体验。pi正在开发计算机模拟和动手实验，以解决制造加工操作。计算机模拟代表了具体的加工问题，如切削力的预测。学生们正在通过动手实验练习收集实验数据，并将这些数据作为模拟模型的输入。利用模拟结果，学生们正在进行第二组实验并验证模拟模型的输出。根据理论和数学结果，学生们正在修改仿真程序中使用的数学模型，从而提高仿真模型的预测精度。使用这种方法，pi将计算机模拟与实验室实验相结合。这种方法增加了学生对制造过程变量之间复杂关系的理解，这些关系很难让学生单独从课堂上真正理解。这个项目让学生参与到一个循环的学习过程中，同时也为他们提供了一个重要的研究经验。本计画的形成性评估包括评估学生与电脑模拟、讲座和每个模块的课程材料的互动。总结性评价活动是通过事后测试来记录课程和教学模式的成功。项目成果正通过CD和网络格式广泛传播给学术界和工业制造环境。

Engineering - Other (59)This project is improving the undergraduate manufacturing engineering educational experience by developing an innovative model using hands-on minds-on experiences that significantly improve both cognitive learning and student motivation. The PIs are developing both computer simulations and hands on experiments that address manufacturing machining operations. The computer simulations represent specific machining problems, such as the prediction of cutting forces. The students are collecting experimental data via hands on laboratory exercises and using this data as input to the simulation model. Using the simulation results, the students are performing a second set of experiments and validating the simulation model output. Based on both theoretical and mathematical results, the students are modifying the mathematical model utilized in the simulation program, thereby increasing the predictive accuracy of the simulation model.Using this methodology, the PIs are integrating the computer simulations with the laboratory experimentation. This approach is increasing student understanding of the complex relationships among manufacturing process variables that are difficult for students to truly comprehend from classroom lectures alone. This project is involving the students in a cyclic learning process as well as providing them with a significant research experience.Formative evaluation of this project includes assessment of the student interaction with computer simulations, lectures, and course material for each module. Summative evaluation activities are documenting the success of the curriculum and the pedagogical model through post-testing. The project results are being broadly disseminated to both academic and industrial manufacturing environments via CD and web formats.