Exploring Studio-Based Learning in Chemical Engineering Education

该项目建立在以前开发的脚手架软件环境称为ChemProV（化学过程可视化）。ChemProV为化学工程专业的学生提供动态生成的反馈，反馈内容涉及他们不断发展的工艺流程图和方程组的语法和语义正确性，指导他们找到正确的解决方案。先前的评估表明，ChemProV促进了统计上的显着优势，在解决问题的准确性，显着更多的时间在任务上，和一个强大的培训转移到一个unscaffolded解决问题的情况。为了扩大其影响，该项目将ChemProV与基于工作室的课程方法相结合，学生使用ChemProV构建材料和能量平衡问题的解决方案，并将其解决方案提交给他们的同龄人和教师进行批判性审查和讨论。该项目将ChemProV纳入在线同行审查环境，从而使同行审查能够完全在线进行。10所新机构的化学工程教师将在其网关材料/能量平衡课程中采用ChemProV和基于工作室的方法，并参与对其对学生学习，态度和保留的影响进行严格的准实验评估。通过该项目支持的培训，合作和研究，该项目建立了一个致力于应用，改进和改进ChemProV和基于工作室的方法的化学工程教育工作者社区。

This project builds on a previously developed scaffolded software environment called ChemProV (Chemical Process Visualizer). ChemProV presents chemical engineering students with dynamically-generated feedback on the syntactic and semantic correctness of their evolving process flow diagrams and sets of equations, guiding them toward correct solutions. Prior evaluations show that ChemProV promotes a statistically significant advantage in problem-solving accuracy, significantly more time on task, and a robust transfer-of-training to an unscaffolded problem-solving situation. In order to expand its impact, this project integrates ChemProV with a studio-based curricular approach in which students use ChemProV to construct solutions to material and energy balance problems, and present their solutions to their peers and instructor for critical review and discussion. The project integrates ChemProV into an online peer review environment, thus enabling the peer reviews to be performed completely online. Chemical engineering instructors at 10 new institutions will adopt ChemProV and the studio-based approach in their gateway material/energy balance courses, and participate in a rigorous quasi-experimental evaluation of their impact on student learning, attitudes, and retention. Through the training, collaboration, and research supported by this project, the project builds a community of chemical engineering educators who are committed to applying, refining, and improving ChemProV and the studio-based approach.