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Direct linkHsiao, Hsien-Sheng; Chen, Jyun-Chen; Lin, Chien-Yu; Zhuo, Pei-Wen; Lin, Kuen-Yi – Journal of Computer Assisted Learning, 2019
This study combined 3D printing technology with experiential learning strategies (ELS) to design a hands-on curriculum for preengineering students. The participants learned interdisciplinary knowledge and abstract scientific concepts through the curriculum. The study implemented a quasi-experimental design to examine whether the students who…
Descriptors: Computer Peripherals, Visual Aids, Experiential Learning, Computer Uses in Education
Deal, Walter F., III; Hsiung, Steve C. – Technology and Engineering Teacher, 2016
Today there are a number of 3D printing technologies that are low cost and within the budgets of middle and high school programs. Educational technology companies offer a variety of 3D printing technologies and parallel curriculum materials to enable technology and engineering teachers to easily add 3D learning activities to their programs.…
Descriptors: Technology Education, Engineering Education, Manufacturing, Visual Aids
Poetzel, Adam; Muskin, Joseph; Munroe, Anne; Russell, Craig – Mathematics Teacher, 2012
Imagine high school students glued to computer screens--not playing video games but applying their mathematical knowledge of functions to the design of three-dimensional sculptures. Imagine these students engaging in rich discourse as they transform functions of their choosing to design unique creations. Now, imagine these students using…
Descriptors: High School Students, Secondary School Mathematics, Mathematics Education, College School Cooperation
Download full textStamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
