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Direct linkBraithwaite, 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
Plaut, David C.; And Others – 1986
This paper describes further research on a learning procedure for layered networks of deterministic, neuron-like units, described by Rumelhart et al. The units, the way they are connected, the learning procedure, and the extension to iterative networks are presented. In one experiment, a network learns a set of filters, enabling it to discriminate…
Descriptors: Artificial Intelligence, Cognitive Structures, Computer Simulation, Discrimination Learning
LoCoco, Veronica G.-M. – 1976
The errors of 187 bilingual students, aged 10 years, 11 months to 19 years, 8 months were analyzed as they studied English as a third language. Errors were categorized with two major learning strategies in mind: transfer and overgeneralization. Types of errors were related to degree of bilingualism, English proficiency level and age of the…
Descriptors: Bilingual Students, Bilingualism, English (Second Language), Error Analysis (Language)
