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Cai, Su; Chiang, Feng-Kuang; Sun, Yuchen; Lin, Chenglong; Lee, Joey J. – Interactive Learning Environments, 2017
Educators must address several challenges inherent to the instruction of scientific disciplines such as physics -- expensive or insufficient laboratory equipment, equipment error, difficulty in simulating certain experimental conditions. Augmented reality (AR) can be a promising approach to address these challenges. In this paper, we discuss the…
Descriptors: Computer Simulation, Simulated Environment, Science Instruction, Physics
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Zucker, Andrew A.; Tinker, Robert; Staudt, Carolyn; Mansfield, Amie; Metcalf, Shari – Journal of Science Education and Technology, 2008
The Technology Enhanced Elementary and Middle School Science II project (TEEMSS), funded by the National Science Foundation, produced 15 inquiry-based instructional science units for teaching in grades 3-8. Each unit uses computers and probeware to support students' investigations of real-world phenomena using probes (e.g., for temperature or…
Descriptors: Mathematical Models, Effect Size, Virtual Classrooms, Grade 7
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Sorby, Sheryl A. – Engineering Design Graphics Journal, 2006
Three-dimensional spatial skills have been shown to be critical to success in engineering and other technological fields. Well-developed 3D spatial skills are particularly important for success in engineering graphics courses. Further, 3D spatial skills of women lag significantly behind those of their male counterparts, which could hinder their…
Descriptors: Spatial Ability, Visualization, Motion, Elementary Secondary Education
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis