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

这一工程教育项目的目标是：1)能够系统地捕获学生设计团队同步和异步通信的物理基础设施；2)设计整合和汇总团队通信的网络，以提供对共享知识的个人贡献的可追溯性和问责制；3)在多学科、基于项目的工程设计课程中学习的评估方法；4)支持促进工程设计课程改进的方法；这个项目的范围是独一无二的，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的所有小组互动。启用自动评估工具的基础技术的一部分是一种新形式的自动多文件摘要。这种形式的摘要的不同之处在于，最终的交流表示是围绕个人组织的，而不是围绕信息片段。虽然最先进的摘要技术以摘要摘要的形式为主，但这一应用程序需要包括对小组个别成员的洞察，他们与他们的想法之间的关系，以及他们随着时间的演变。PIS建议进行许多前后测试，以尽可能多地了解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。这项建议解决了更大的问题，这些问题对于在难以观察的团队中学习至关重要。这一建议提出了一种分析团队学习的新方法。这项研究可能会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的教学产生影响，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的教学产生影响。

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.