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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
Lin, Li-Fen; Hsu, Ying-Shao; Yeh, Yi-Fen – Journal of Science Education and Technology, 2012
Several researchers have investigated the effects of computer simulations on students' learning. However, few have focused on how simulations with authentic contexts influences students' inquiry skills. Therefore, for the purposes of this study, we developed a computer simulation (FossilSim) embedded in an authentic inquiry lesson. FossilSim…
Descriptors: Investigations, Computer Simulation, Inquiry, Active Learning
Marshall, Jill A.; Petrosino, Anthony J.; Martin, Taylor – Journal of Science Education and Technology, 2010
We present results of an investigation of preservice secondary mathematics and science teachers' conceptions of project-based instruction (PBI) and their enactments of PBI in apprentice (student) teaching. We evaluated their thinking and implementations within a composite framework based on the work of education researchers. We analyzed survey…
Descriptors: Secondary School Mathematics, Preservice Teachers, Science Teachers, Teacher Attitudes