Characteristics of students who benefit from high-quality mathematics instruction
By K. Jones, James P. Byrnes. 2006
50 citations recorded by the source corpus.
Subfields: Education, Experimental and Cognitive Psychology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/74ee518d65a669ee33318b8d79784ac92815efda
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- David C. Miller
- Paul L. Morgan
- George Farkas
- James P. Byrnes
- C. Galindo
- Sean F. Reardon
- Katherine A. Magnuson
- Christy L. Lleras
In Experimental and Cognitive Psychology
In Statistics and Probability
Citations in the corpus
- The relative importance of predictors of math and science achievement: An opportunity–propensity analysis (2007, background): “In doing so, we follow the lead of researchers from a variety of other disciplines (Kuhn, 1992). The pervasiveness of the logical and empirical approaches to scientific progress was first recognized in the philosophy of science literature when Reichenbach (1938) created his classic distinction betwe”
- Science Achievement Gaps Begin Very Early, Persist, and Are Largely Explained by Modifiable Factors (2016, background): “These factors may limit children’s initial knowledge, abilities, and interest in science, thereby impeding over-time growth in science achievement (e.g., Eccles, Wigfield, & Schiefele, 1998; Jones & Byrnes, 2006; Li et al., 2009; Muller et al., 2001).”
- Motivation and Achievement of Middle School Mathematics Students (2017, background): “In a study of 42 students in an Algebra II class in an urban, private school, Jones and Byrnes (2006) found a significant positive correlation between achievement in mathematics and prior knowledge, homework completion, and self-regulation.”