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1. A Comparative Study on Affordable Photogrammetry Tools.

   Fraley, J. ; Imeri, A. ; Fidan, I. ; Chandramouli, M. ( July 2018 , ASEE Annual Conference proceedings)

   The objective of the Project MANEUVER (Manufacturing Education Using Virtual Environment Resources)1 is to develop an affordable virtual reality (VR) framework to address the imminent demand for well-trained digital manufacturing (DM) professionals. One important part of Project MANEUVER involves studying, evaluating, and identifying cost-efficient ways to generate 3D solid models for use in VR frameworks. To this end, this paper explains the research effort to find alternative ways so that 3D solid model could easily be generated without using any costly 3D scanning technology. In this study, the project team identified two software tools that could help the manufacturing professionals and educators generate a solid model of several parts. These two software tools namely, Qlone and 3DF Zephyr Free were selected for this study based on factors such as ease-of-use, cost-effectiveness, and the cognitive load on users. Using case-studies these two software tools were used to generate 3D solid models and prototypes. Finally, their pros and cons collected throughout this study were reported. 

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2. A Systematic Analysis of Graphics-Based Hardware and Software for Virtual Reality Instructional Framework

   Chandramouli, M. ( January 2019 , EDGD Midyear Conference)

   This study explains in detail a review of the graphics-based Virtual Reality (VR) hardware and software that were evaluated systematically for use in the NSF-funded study (Project MANEUVER). Project MANEUVER (Manufacturing Education Using Virtual Environment Resources), is developing an affordable VR framework to address the imminent demand for well- trained digital manufacturing (DM) technicians. This paper explains the various important factors including instructional, graphics-based, immersive, and interactive aspects that need to be carefully considered in the decision making process for the NSF Maneuver project, and this can serve as a reference for other similar projects. 3D Virtual worlds can be visualized by means of an extensive array of interfaces such as CAVE (Computer Assisted Virtual Environments), desktop VR, HMD (Head Mounted Displays), etc. The other factors that are important especially from a graphics perspective include: Hardware (CPU) and graphics requirements, cost, standalone possibility, software compatibility/support. 

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3. Eye-Track Modeling of Problem-Solving in Virtual Manufacturing Environments

   Zhu, Rui ; Aqlan, Faisal ; Zhao, Richard ; Yang, Hui ( July 2021 , ASEE annual conference proceedings)

   null (Ed.)

   Problem-solving focuses on defining and analyzing problems, then finding viable solutions through an iterative process that requires brainstorming and understanding of what is known and what is unknown in the problem space. With rapid changes of economic landscape in the United States, new types of jobs emerge when new industries are created. Employers report that problem-solving is the most important skill they are looking for in job applicants. However, there are major concerns about the lack of problem-solving skills in engineering students. This lack of problem-solving skills calls for an approach to measure and enhance these skills. In this research, we propose to understand and improve problem-solving skills in engineering education by integrating eye-tracking sensing with virtual reality (VR) manufacturing. First, we simulate a manufacturing system in a VR game environment that we call a VR learning factory. The VR learning factory is built in the Unity game engine with the HTC Vive VR system for navigation and motion tracking. The headset is custom-fitted with Tobii eye-tracking technology, allowing the system to identify the coordinates and objects that a user is looking at, at any given time during the simulation. In the environment, engineering students can see through the headset a virtual manufacturing environment composed of a series of workstations and are able to interact with workpieces in the virtual environment. For example, a student can pick up virtual plastic bricks and assemble them together using the wireless controller in hand. Second, engineering students are asked to design and assemble car toys that satisfy predefined customer requirements while minimizing the total cost of production. Third, data-driven models are developed to analyze eye-movement patterns of engineering students. For instance, problem-solving skills are measured by the extent to which the eye-movement patterns of engineering students are similar to the pattern of a subject matter expert (SME), an ideal person who sets the expert criterion for the car toy assembly process. Benchmark experiments are conducted with a comprehensive measure of performance metrics such as cycle time, the number of station switches, weight, price, and quality of car toys. Experimental results show that eye-tracking modeling is efficient and effective to measure problem-solving skills of engineering students. The proposed VR learning factory was integrated into undergraduate manufacturing courses to enhance student learning and problem-solving skills. 

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4. Framework for the Use of Extended Reality Modalities in AEC Education

   https://doi.org/10.3390/buildings12122169  

   Spitzer, Barbara Oliveira ; Ma, Jae Hoon ; Erdogmus, Ece ; Kreimer, Ben ; Ryherd, Erica ; Diefes-Dux, Heidi ( December 2022 , Buildings)

   The educational applications of extended reality (XR) modalities, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), have increased significantly over the last ten years. Many educators within the Architecture, Engineering, and Construction (AEC) related degree programs see student benefits that could be derived from bringing these modalities into classrooms, which include but are not limited to: a better understanding of each of the subdisciplines and the coordination necessary between them, visualizing oneself as a professional in AEC, and visualization of difficult concepts to increase engagement, self-efficacy, and learning. These benefits, in turn, help recruitment and retention efforts for these degree programs. However, given the number of technologies available and the fact that they quickly become outdated, there is confusion about the definitions of the different XR modalities and their unique capabilities. This lack of knowledge, combined with limited faculty time and lack of financial resources, can make it overwhelming for educators to choose the right XR modality to accomplish particular educational objectives. There is a lack of guidance in the literature for AEC educators to consider various factors that affect the success of an XR intervention. Grounded in a comprehensive literature review and the educational framework of the Model of Domain Learning, this paper proposes a decision-making framework to help AEC educators select the appropriate technologies, platforms, and devices to use for various educational outcomes (e.g., learning, interest generation, engagement) considering factors such as budget, scalability, space/equipment needs, and the potential benefits and limitations of each XR modality. To this end, a comprehensive review of the literature was performed to decipher various definitions of XR modalities and how they have been previously utilized in AEC Education. The framework was then successfully validated at a summer camp in the School of Building Construction at Georgia Institute of Technology, highlighting the importance of using appropriate XR technologies depending on the educational context.

    

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5. Virtual Reality Laboratory Experiences for Electricity and Magnetism Courses

   Ilie, R. ( July 2021 , 2021 ASEE Virtual Annual Conference Content Access)

   A solid understanding of electromagnetic (E&M) theory is key to the education of electrical engineering students. However, these concepts are notoriously challenging for students to learn, due to the difficulty in grasping abstract concepts such as the electric force as an invisible force that is acting at a distance, or how electromagnetic radiation is permeating and propagating in space. Building physical intuition to manipulate these abstractions requires means to visualize them in a three-dimensional space. This project involves the development of 3D visualizations of abstract E&M concepts in Virtual Reality (VR), in an immersive, exploratory, and engaging environment. VR provides the means of exploration, to construct visuals and manipulable objects to represent knowledge. This leads to a constructivist way of learning, in the sense that students are allowed to build their own knowledge from meaningful experiences. In addition, the VR labs replace the cost of hands-on labs, by recreating the experiments and experiences on Virtual Reality platforms. The development of the VR labs for E&M courses involves four distinct phases: (I) Lab Design, (II) Experience Design, (III) Software Development, and (IV) User Testing. During phase I, the learning goals and possible outcomes are clearly defined, to provide context for the VR laboratory experience, and to identify possible technical constraints pertaining to the specific laboratory exercise. During stage II, the environment (the world) the player (user) will experience is designed, along with the foundational elements, such as ways of navigation, key actions, and immersion elements. During stage III, the software is generated as part of the course projects for the Virtual Reality course taught in the Computer Science Department at the same university, or as part of independent research projects involving engineering students. This reflects the strong educational impact of this project, as it allows students to contribute to the educational experiences of their peers. During phase IV, the VR experiences are played by different types of audiences that fit the player type. The team collects feedback and if needed, implements changes. The pilot VR Lab, introduced as an additional instructional tool for the E&M course during the Fall 2019, engaged over 100 students in the program, where in addition to the regular lectures, students attended one hour per week in the E&M VR lab. Student competencies around conceptual understanding of electromagnetism topics are measured via formative and summative assessments. To evaluate the effectiveness of VR learning, each lab is followed by a 10-minute multiple-choice test, designed to measure conceptual understanding of the various topics, rather than the ability to simply manipulate equations. This paper discusses the implementation and the pedagogy of the Virtual Reality laboratory experiences to visualize concepts in E&M, with examples for specific labs, as well as challenges, and student feedback with the new approach. We will also discuss the integration of the 3D visualizations into lab exercises, and the design of the student assessment tools used to assess the knowledge gain when the VR technology is employed. 

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