EAGER: Collaborative Research: Cyber-Eye: Empowering Learning through Remote Visualizations using Unmanned Aerial Systems

网络学习和未来学习技术计划资助的努力将有助于设想下一代学习技术，并推进我们对人们如何在技术丰富的环境中学习的了解。该项目探讨了使用无人机系统（UAS）技术来支持建筑工程和管理课程学习的可能性。 如今，建筑项目变得越来越复杂。学生可以通过实地考察了解项目是如何展开的，但费用，时间和安全预防措施使学生很难看到各种建设项目在时间和空间上是如何展开的。该项目将帮助学生了解建筑项目，方法是使用无人驾驶飞行器记录建筑工地随时间推移的视频;学生和他们的老师将能够选择重要的项目方面来查看，和录制的视频将有助于建立一个案例库，让未来的学生了解施工现场的实际情况与施工文件的不同之处。通过基于案例的推理支持时空约束的教学，CyberEye系统将通过两个组成部分的迭代设计来构建和完善：第一，远程视频和图像生成部分，该部分将整合飞行器，地面控制站以及通信和控制平台，使摄像机能够捕捉建筑工地的期望方面;第二，支持学员访问视频的系统，该系统将支持创建教学案例，允许教员和学员规划和输入空中任务（同步和异步），以及为学习者存档和反思查看。该系统将研究的学习成果，并提出设计原则，采用四迭代设计为基础的研究方法，在大学水平的建筑工程课程。半结构化访谈和参与者观察将用于支持形成性评估，而前后实验比较将衡量CyberEye干预对学生学习的影响，特别是CEM域中每次迭代的空间推理。

The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. This project explores the possibility of using Unmanned Aerial System (UAS) technology to support learning in construction engineering and management courses. Today, construction projects are becoming increasingly more complex. Students can learn about how projects unfold through field trips to build sites, but expense, timing, and safety precautions make it hard for students to see how a variety of construction projects unfold in time and space. This project will help students learn about construction projects by using unmanned aerial vehicles to record video of build sites over time; students and their teachers will be able to select important project aspects to view, and recorded video will help establish a case library for future students to see how the realities of job sites differ from contstruction documents.This project focuses on facilitating the integration of procedural and configurational knowledge in construction and engineering management by supporting teaching of spatio-temporal constraints through case-based reasoning. The CyberEye system will be built and refined through iterative design of two components: first, the remote video and image generation component, which will integrate the aerial vehicle, a ground control station, and a communications and control platform to allow the cameras to capture desired aspects of the construction site; and second, a system to support learner access to the video, which will support creation of instructive cases, allow instructor and student planning and input of aerial missions (both synchronously and asynchronously), and archiving and reflective viewing for learners. The system will study both the learning outcomes and propose design principles using a four-iteration design-based research methodology implemented in college-level construction engineering courses. Semi-structured interviews and participant observation will be used to support formative evaluation, while pre-post experimental comparison will gauge the impact of the CyberEye intervention on student learning and especially spatial reasoning within the CEM domain for each iteration.