Understanding and representing the arithmetic averaging algorithm: an analysis and comparison of US and Chinese students' responses
By Jinfa Cai. 2000
49 citations recorded by the source corpus.
Subfields: Education, Experimental and Cognitive Psychology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e868e595fc50230ead614e643f228981c857c755
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- A. Leavy
- Randall E. Groth
- Jennifer A. Bergner
- Noreen O’Loughlin
- Jinfa Cai
- Meixia Ding
- Tao Wang
- Bharath Sriraman
In Experimental and Cognitive Psychology
In Statistics and Probability
- A. Leavy
- Randall E. Groth
- Jennifer A. Bergner
- Noreen O’Loughlin
- Jinfa Cai
- Meixia Ding
- Tao Wang
- Bharath Sriraman
Citations in the corpus
- U.S. and Chinese Teachers' Constructing, Knowing, and Evaluating Representations to Teach Mathematics (2005, methodology): “All of these problems except one are directly adopted from the studies of U.S. and Chinese students’ thinking (e.g., Cai, 2000a; Cai & Hwang, 2002).”
- Preservice Elementary Teachers' Conceptual and Procedural Knowledge of Mean, Median, and Mode (2006, background): “The thinking exhibited by preservice teachers in this study strongly resembles the thinking of elementary and middle school children in the research literature summarized earlier (Cai, 2000; Jones et al., 2000; Mokros & Russell, 1995; Mooney, 2002; Watson & Moritz, 2000).”
- Preservice Teachers Understanding of the Mean: Moving Beyond the Arithmetic Average (2006, background): “Important indicators of conceptual understanding of the mean include (but are not limited to) recognition of contexts where the mean is a suitable measure (Watson & Moritz, 2000), the ability to solve weighted mean problems (Mevarech, 1983; Pollatsek et al., 1981), recognition of the mean as a repre”