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Green, Travis C.; Gresh, Rebekkah H.; Cochran, Desiree A.; Crobar, Kaitlyn A.; Blass, Peter M.; Ostrowski, Alexis D.; Campbell, Dean J.; Xie, Charles; Torelli, Andrew T. – Journal of Chemical Education, 2020
Infrared (IR) thermography renders invisible infrared radiation with intuitive coloration in images and videos taken of objects, reactions, and processes. Educators can take advantage of this technology to extend students' sensory perception of chemical reactions or processes that absorb or release heat in rich detail. In theory, IR thermography…
Descriptors: Chemistry, Science Instruction, College Science, Science Laboratories
Jiang, Shiyan; Tatar, Cansu; Huang, Xudong; Sung, Shannon H.; Xie, Charles – Journal of Educational Computing Research, 2022
Augmented reality (AR) has the potential to fundamentally transform science education by making learning of abstract science ideas tangible and engaging. However, little is known about how students interacted with AR technologies and how these interactions may affect learning performance in science laboratories. This study examined high school…
Descriptors: Computer Simulation, Science Instruction, Science Laboratories, High School Students
Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9