Struct-MRT：使用混合现实的结构土木工程设计和验证的沉浸式学习和教学
Struct-MRT: Immersive Learning and Teaching of Design and Verification in Structural Civil Engineering using Mixed Reality
摘要：
我们的目标是将传统的纸质教学转变为沉浸式课程。本文介绍了两个MR应用程序的概念，工作流程和部署，用于验证典型的几何复杂的结构构件：钢筋混凝土牛腿和钢框架。本研究的目的有三个方面：（i）开发和实施此类应用的技术可行性，（ii）在结构工程讲座的背景下展示可能的用例，以及（iii）通过调查评估所呈现的MR示例以及此类MR应用在结构工程讲座中的未来潜力。工作流程和MR教学应用程序是使用Apple的ARKit开发的。基于纸上讲授的常规练习，在MR应用程序中再现了验证过程。用户可以在应用程序中独立导航并查看单步的，包括特定组件的真实比例空间表示以及相应步骤中的相关验证公式。这些应用程序被用来通过调查评估学生和教师对沉浸式教学技术的需求和期望。参与者被要求在他们的设备上测试MR应用程序或观看预先录制的视频演示，然后通过问卷调查得出感知。随后的数据分析结果显示，在六个被质疑的类别（风格，有用性，易用性，享受，态度以及使用意图）的MR应用程序的一般积极的判断。统计分析揭示了具有先前XR经验的用户的（积极）偏倚。使用和导航，而没有经验的用户强调了这种学习形式的乐趣或兴奋。展望涵盖了这一领域已查明的不足之处和未来的发展。
英文摘要：
Our goal is to transform traditional paper-based instruction into an immersive lesson. This paper presents the conception, workflow and deployment of two MR applications for verification of typical yet geometrically complex structural members: a reinforced concrete corbel and a steel frame. The aim of this research is threefold: (i) to develop and implement the technological feasibility of such applications, (ii) to demonstrate possible use cases in the context of structural engineering lectures and (iii) to evaluate the presented MR examples and the future potential of such MR applications in structural engineering lectures through a survey. The workflow and MR teaching applications were developed with Apple's ARKit. The verification process was reproduced in the MR applications based on conventional exercises taught on paper. Users can navigate independently through the applications and review every single step, including a true-to-scale, spatial representation of the specific component as well as associated verification formulas in the respective step. The applications were used to assess the demand and expectations for immersive teaching techniques among students and instructors through a survey. The participants were asked to test the MR applications on their devices or watch pre-recorded video demonstrations, afterwards perception was elicited through a questionnaire. The results of subsequent data analysis show generally positive judgement of the MR application over the six questioned categories (style, usefulness, ease of use, enjoyment, attitude as well as intention towards using). The statistical analysis revealed (positivity) biases for users with prior XR experience w.r.t. to usage and navigation, while inexperienced users underlined increased enjoyment or excitement with this learning format. The outlook covers identified shortcomings and future developments in this field.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
