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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
Xiang, Lin; Passmore, Cynthia – Journal of Science Education and Technology, 2015
There has been increased recognition in the past decades that model-based inquiry (MBI) is a promising approach for cultivating deep understandings by helping students unite phenomena and underlying mechanisms. Although multiple technology tools have been used to improve the effectiveness of MBI, there are not enough detailed examinations of how…
Descriptors: Inquiry, Active Learning, Models, Case Studies
Cheng, Kun-Hung; Tsai, Chin-Chung – Journal of Science Education and Technology, 2013
Augmented reality (AR) is currently considered as having potential for pedagogical applications. However, in science education, research regarding AR-aided learning is in its infancy. To understand how AR could help science learning, this review paper firstly has identified two major approaches of utilizing AR technology in science education,…
Descriptors: Computer Simulation, Science Education, Computer Uses in Education, Inquiry

Dori, Yehudit J.; Yochim, Jerome M. – Journal of Science Education and Technology, 1994
A studyware comprising a set of interconnected modules on human physiology has been developed and used to improve undergraduate students' achievements. Study results show the scores of students who used the optional computer laboratory sessions were enhanced over those who did not use the studyware. Presents examples from the modules. (LZ)
Descriptors: Academic Achievement, Active Learning, College Students, Computer Assisted Instruction