The Process of Probability Problem Solving: Use of External Visual Representations
By Doris Zahner, James E. Corter. 2010
105 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/b4aa72ff27a28c4f622cff2c9747b6c95abab8b6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Management Science and Operations Research
- Gena Nelson
- Michael C. Rodriguez
- Asha K. Jitendra
- Yo In’nami
- R. Koizumi
- S. R. Powell
- Ross H. Nehm
- I. Schonfeld
In Statistics and Probability
- Michael C. Rodriguez
- Danielle Dupuis
- Gena Nelson
- Allyson J. Kiss
- J. Houseworth
- Asha K. Jitendra
- Anne F. Zaslofsky
- S. M. Pulles
Citations in the corpus
- Is Mathematical Representation of Problems an Evidence-Based Strategy for Students With Mathematics Difficulties? (2016, background): “…problem information, recording and reasoning about situation/story elements, offloading memory storage, coordinating the results of intermediate calculations, representing numerical or functional relationships via graphs, and making abstract relationships concrete” (Zahner & Corter, 2010, p. 180).”
- A Randomized Controlled Trial of the Impact of Schema-Based Instruction on Mathematical Outcomes for Third-Grade Students with Mathematics Difficulties (2013, methodology): “…cognitive memory demands, visual representations serve a variety of purposes such as (a) organizing and summarizing problem information, (b) making concrete the abstract relationships, and (c) reasoning about story situations (Diezmann & English, 2001; Presmeg, 2006; Zahner & Corter, 2010).”