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Wu, Hsin-Kai; Wu, Pai-Hsing; Zhang, Wen-Xin; Hsu, Ying-Shao – Science Education, 2013
Drawing upon the literature in computational modeling, multivariable reasoning, and causal attribution, this study aims at characterizing multivariable reasoning practices in computational modeling and revealing the nature of understanding about multivariable causality. We recruited two freshmen, two sophomores, two juniors, two seniors, four…
Descriptors: College Students, Thinking Skills, Logical Thinking, Semi Structured Interviews
Kim, Minchi C.; Hannafin, Michael J.; Bryan, Lynn A. – Science Education, 2007
Researchers and practitioners have attempted to identify technologies that support students' scientific understanding, activities and support practices that facilitate students' inquiry processes, and methods to sustain technology-enhanced innovations in everyday science classrooms. The purpose of this paper is to examine the findings and…
Descriptors: Science Education, Educational Technology, Inquiry, Teaching Methods
Zhang, BaoHui; Liu, Xiufeng; Krajcik, Joseph S. – Science Education, 2006
Holding the premise that the development of expertise is a continuous process, this study concerns expert models and modeling processes associated with a modeling tool called Model-It. Five advanced Ph.D. students in environmental engineering and public health used Model-It to create and test models of water quality. Using "think aloud" technique…
Descriptors: Cognitive Processes, Water Quality, Public Health, Models