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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
Kerlin, Steven C.; McDonald, Scott P.; Kelly, Gregory J. – Journal of Classroom Interaction, 2009
This study describes an analytic procedure to examine inquiry processes in science teaching and learning. This procedure was applied to the study of a seismology unit in a ninth-grade earth science classroom. An emergent coding scheme was developed that provided a description of the different activities, science content, and type of scientific…
Descriptors: Seismology, Science Instruction, Inquiry, Teaching Methods
Tustin, Rachel Sarah – ProQuest LLC, 2012
Virtual K-12 schools have rapidly become a popular choice for parents and students in the last decade. However, little research has been done on the instructional practices used in virtual courses. As reflected in the central research question, the purpose of this study was to explore how teachers provided instruction for Grade 7-10 students in…
Descriptors: Virtual Classrooms, Educational Technology, Grade 7, Grade 8