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Rau, Martina A. – Journal of Learning Analytics, 2017
STEM instruction often uses visual representations. To benefit from these, students need to understand how representations show domain-relevant concepts. Yet, this is difficult for students. Prior research shows that physical representations (objects that students manipulate by hand) and virtual representations (objects on a computer screen that…
Descriptors: High School Students, Charter Schools, STEM Education, Knowledge Representation
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Gil, Einat; Gibbs, Alison L. – Statistics Education Research Journal, 2017
In this study, we follow students' modeling and covariational reasoning in the context of learning about big data. A three-week unit was designed to allow 12th grade students in a mathematics course to explore big and mid-size data using concepts such as trend and scatter to describe the relationships between variables in multivariate settings.…
Descriptors: Foreign Countries, Secondary School Students, Grade 12, Statistics
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Liang, Hai-Ning; Parsons, Paul C.; Wu, Hsien-Chi; Sedig, Kamran – Journal of Interactive Learning Research, 2010
This paper deals with the design of interactivity in visualization tools. There are several factors that can be used to guide the analysis and design of the interactivity of these tools. One such factor is flow, which is concerned with the duration of interaction with visual representations of information--interaction being the actions performed…
Descriptors: Visualization, Interaction, Geometric Concepts, Knowledge Representation
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Stieff, Mike – Journal of Research in Science Teaching, 2011
The present article discusses the design and impact of computer-based visualization tools for supporting student learning and representational competence in science. Specifically, learning outcomes and student representation use are compared between eight secondary classrooms utilizing The Connected Chemistry Curriculum and eight secondary…
Descriptors: Secondary School Science, Chemistry, Lecture Method, Computer Uses in Education