This paper describes the design, construction, and evaluation of a learning module on projective geometry, 3D object reconstruction, and the 3D printing process. This module was developed while the author was a participant in an NSF Research Experience for Teachers program at Texas A&M University at 2014. The module utilizes cost-effective hardware and software tools to provide interesting hands-on experiences for high school students. Students are first taught to apply projective geometry concepts by using cameras to capture images of a scene and then using those images to calculate the location of a given object within a defined space. Once they understand 2D projective geometry concepts, they learn to use Autodesk’s 123D Catch software to reconstruct 3D objects in a planar environment. The process involves using digital cameras to capture images of a selected object at various angles and distances so that projective geometry calculations can be used to create a 3D model of the object. The 3D model can be post processed into a OBJ file, which can then be sent to a 3D printer to make a physical 3D plastic part using PLA or ABS materials. Pre and post-tests and an opinion survey were used to evaluate the effectiveness of the learning module. There was a statistically significant learning gain and students indicated that they greatly enjoyed the hands on experience as well as learning the subjects.
A Dedicated career and technology teacher with fifteen years of experience in the classroom. Offer a proven track record of commended performance in teaching, and leadership, with a passion for education and a commitment to continually pursue student, school and district success. Experience includes classroom teaching, motivational speaking, district curriculum and instructional coaching, professional development planning/presenting, high school webpage administrator, TIVA Board Member, e2it3 President, robotics/engineering club head sponsor, Gay Straight Alliance sponsor and SkillsUSA Texas District 7 Director.
Currently working on an Ed.D. in Curriculum and Instruction at Texas A&M University in the Department of Teaching, Learning and Culture in College Station, TX. Plans are to pursue furthering a career in education at the district or university level as well as increasing experience in public and motivational speaking.
Dr. Sheng-Jen (“Tony”) Hsieh is a Professor in the Dwight Look College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufacturing. He is Director of the Rockwell Automation laboratory at Texas A&M University, a state-of-the-art facility for education and research in the areas of automation, control, and automated system integration. He also serves as Director of an NSF Research Experiences for Teachers (RET) program in the area of Mechatronics, Robotics, and Industrial Automation.
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