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Braithwaite, David W.; Leib, Elena R.; Siegler, Robert S.; McMullen, Jake – Grantee Submission, 2019
Understanding fractions is critical to mathematical development, yet many children struggle with fractions even after years of instruction. Fraction arithmetic is particularly challenging. The present study employed a computational model of fraction arithmetic learning, FARRA (Fraction Arithmetic Reflects Rules and Associations; Braithwaite, Pyke,…
Descriptors: Individual Differences, Fractions, Arithmetic, Mathematics Instruction
Siegler, Robert S.; Im, Soo-hyun; Schiller, Lauren K.; Tian, Jing; Braithwaite, David W. – Grantee Submission, 2020
Children's failure to reason often leads to their mathematical performance being shaped by spurious associations from problem input and overgeneralization of inapplicable procedures rather than by whether answers and procedures make sense. In particular, imbalanced distributions of problems, particularly in textbooks, lead children to create…
Descriptors: Logical Thinking, Arithmetic, Numbers, Fractions
Braithwaite, David W.; Siegler, Robert S. – Developmental Science, 2018
Many students' knowledge of fractions is adversely affected by whole number bias, the tendency to focus on the separate whole number components (numerator and denominator) of a fraction rather than on the fraction's magnitude (ratio of numerator to denominator). Although whole number bias appears early in the fraction learning process and under…
Descriptors: Numbers, Bias, Fractions, Age Differences
Braithwaite, David W.; Siegler, Robert S. – Grantee Submission, 2017
Many students' knowledge of fractions is adversely affected by whole number bias, the tendency to focus on the separate whole number components (numerator and denominator) of a fraction rather than on the fraction's integrated magnitude (ratio of numerator to denominator). Although whole number bias appears early in the fraction learning process…
Descriptors: Numbers, Bias, Fractions, Age Differences
Siegler, David M.; Siegler, Robert S. – 1973
Parallel designs were used to test the hypotheses that (1) strongly assertive forms would be attributed relatively more often to females, and (2) syntactic forms associated with males would be rated more intelligent and those associated with females less so. The results of the study were consistent with each of these predictions, suggesting that…
Descriptors: Attitude Change, Bias, Language Patterns, Language Usage