ADEPT: Assessing Design Engineering Project Classess with Multi-Disciplinary Teams

这个工程教育项目的目标是开发：1)一个物理基础设施，能够系统地捕获学生设计团队的同步和异步通信；2)设计整合和总结团队沟通的网站，为个人对共享知识的贡献提供可追溯性和问责制；3)多学科、项目化工程设计课程的学习评价方法；4)支持工程设计课程改进的方法；5)从一个多学科设计项目的测试平台中收集的数据集。这个项目的范围是独特的，因为它的目标是捕捉一个25人的多学科设计团队在一个学期的课程中所有的小组互动。支持自动评估工具的部分底层技术是一种新形式的自动多文档摘要。这种总结形式的不同之处在于，交流的最终表现是围绕个人而不是围绕信息片段进行组织的。虽然最先进的总结技术是由抽取总结的形式所主导的，但这种应用需要包含对小组中单个成员的见解，他们与他们的想法之间的关系，以及他们随时间的演变。pi建议管理许多事前和事后测试，以尽可能多地捕获学生的初始和最终知识状态。多学科团队在工程教育中至关重要。这个建议解决了更大的问题，这些问题对于团队学习来说是很难观察到的。这个建议提出了一种分析团队学习的新方法。这项研究可以彻底改变对多学科团队如何整合他们的知识的理解。这项研究有可能对许多大学的工程设计课程教学产生影响，因为我们将传播技术要求和评估工具。此外，PI团队将公开整个学期的仪器化课程的数据集，以便其他研究人员能够使用它来回答他们自己的相关研究问题。这项研究有可能对许多大学的工程设计课程教学产生影响。

The objective of this engineering education project is to develop: 1) a physical infrastructure that enables systematic capture of student design team synchronous and asynchronous communications; 2) design webs that integrate and summarize the team communications to provide traceability and accountability for individual contributions to the shared knowledge; 3) assessment methods for learning in multi-disciplinary, project-based engineering design courses; 4) a method to support the facilitated improvement of engineering design courses; and 5) a dataset collected from a testbed multidisciplinary design project course.The scope of this project is unique in that its goal is to capture all of the group interactions of a 25 person multi-disciplinary design team over the course of a semester. Part of the underlying technology that enables the automatic assessment tool is a novel form of automatic multi-document summarization. What is different about this form of summarization is that the resulting representation of communication is organized around individuals rather than around pieces of information. While state-of-the-art summarization technology is dominated by forms of extractive summarization, this application requires the inclusion of insights about individual members of the group, the relationships between them and their ideas, and their evolution over time. The PIs propose to administer many pre- and post-tests to capture as much as is possible the initial and final knowledge states of the students.Multidisciplinary teams are critical in engineering education. This proposal addresses larger issues that are central to learning in teams that are difficult to observe. This proposal suggests a novel approach to analyzing team learning. This research could revolutionize understanding of how multidisciplinary teams integrate their knowledge. This research has the potential to have an impact on teaching engineering design courses at many universities because we will disseminate the technology requirements and the assessment tools. In addition, the PI team will make the dataset of the completely instrumented semester-long course publicly available so that other researchers will be able to use it to answer their own related research questions. This research has the potential to have an impact on teaching engineering design courses at many universities.