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Jon R. Star

Researcher at Harvard University

Publications -  142
Citations -  6152

Jon R. Star is an academic researcher from Harvard University. The author has contributed to research in topics: Procedural knowledge & Flexibility (personality). The author has an hindex of 35, co-authored 134 publications receiving 5267 citations. Previous affiliations of Jon R. Star include Michigan State University & University of Michigan.

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Learning to observe: using video to improve preservice mathematics teachers’ ability to notice

TL;DR: In this paper, a pre-and post-test design was used to measure the quantity and type of classroom events that preservice teachers noticed before and after a teaching methods course where improving observation skills was an explicit goal.
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Does comparing solution methods facilitate conceptual and procedural knowledge? An experimental study on learning to solve equations.

TL;DR: In this paper, the authors randomly assigned 70 seventh grade students to learn about algebra equation solving by either comparing and contrasting alternative solution methods or reflecting on the same solution methods one at a time, and found that students in the compare group had greater gains in procedural knowledge and flexibility and comparable gains in conceptual knowledge.

Assisting Students Struggling with Mathematics: Response to Intervention (RtI) for Elementary and Middle Schools. NCEE 2009-4060.

TL;DR: The panel suggests that the interventionist use concrete objects in two ways, in lower elementary grades and in the upper grades when visual representations do not seem sufficient in helping students understand mathematics at the more abstract level.
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Compared with What? The Effects of Different Comparisons on Conceptual Knowledge and Procedural Flexibility for Equation Solving.

TL;DR: In this article, the authors found that students' conceptual knowledge and procedural flexibility were best supported by comparing solution methods and to a lesser extent by comparing problem types, and the benefits of comparison are augmented when examples differ on relevant features.