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Chiu, Jennifer L.; Linn, Marcia C. – Journal of Science Education and Technology, 2014
This paper describes the design and impact of an inquiry-oriented online curriculum that takes advantage of dynamic molecular visualizations to improve students' understanding of chemical reactions. The visualization-enhanced unit uses research-based guidelines following the knowledge integration framework to help students develop coherent…
Descriptors: Secondary School Science, Chemistry, Visualization, Electronic Learning
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McElhaney, Kevin W.; Chang, Hsin-Yi; Chiu, Jennifer L.; Linn, Marcia C. – Studies in Science Education, 2015
Dynamic visualisations capture aspects of scientific phenomena that are difficult to communicate in static materials and benefit from well-designed scaffolds to succeed in classrooms. We review research to clarify the impacts of dynamic visualisations and to identify instructional scaffolds that mediate their success. We use meta-analysis to…
Descriptors: Science Curriculum, Science Materials, Visualization, Evidence
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Zhang, Zhihui Helen; Linn, Marcia C. – Journal of Research in Science Teaching, 2011
This study explores the impact of asking middle school students to generate drawings of their ideas about chemical reactions on integrated understanding. Students explored atomic interactions during hydrogen combustion using a dynamic visualization. The generation group drew their ideas about how the reaction takes place at the molecular level.…
Descriptors: Middle School Students, Inquiry, Chemistry, Molecular Structure
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Lee, Hee-Sun; Linn, Marcia C.; Varma, Keisha; Liu, Ou Lydia – Journal of Research in Science Teaching, 2010
We investigated how student understanding of complex science topics was impacted when 27 teachers switched from typical to inquiry instruction in a delayed cohort comparison design study. For the same set of science topics, the teachers used typical methods of instruction in the first year and online, visualization rich inquiry units in the second…
Descriptors: Teacher Surveys, Interaction, Statistical Analysis, Demonstration Centers