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Russo, James; Hopkins, Sarah – Mathematics Education Research Group of Australasia, 2018
Measuring computational fluency, an aspect of procedural fluency, is complex. Many attempts to measure this construct have emphasised accuracy and efficiency at the expense of flexibility and appropriate strategy choice. Efforts to account for these latter constructs through assessing children's computational reasoning using structured interviews…
Descriptors: Mental Computation, Thinking Skills, Mathematics Skills, Addition
Oppezzo, Marily Ann; Dohmen, Ilsa; Schwartz, Daniel L. – AERA Online Paper Repository, 2017
It is often assumed when students fidget they are not on task. Two within-subject studies challenge this assumption by testing the effect of allowing fidgeting on three types of thinking: speeded mental math (Study 1), brainstorming and memory (Study 2). Study 1 showed that student's performance on speeded math was no different when performed in a…
Descriptors: Motion, Human Body, Creativity, Thinking Skills
Doherty-Sneddon, Gwyneth; Phelps, Fiona G.; Calderwood, Lesley – Cognition and Instruction, 2009
Looking away from an interlocutor's face during demanding cognitive activity can help adults and children answer challenging mental arithmetic and verbal-reasoning questions (Glenberg, Schroeder, & Robertson, 1998; Phelps, Doherty-Sneddon, & Warnock, 2006). While such "gaze aversion" (GA) is used far less by 5-year-old school children, its use…
Descriptors: Primary Education, Mental Computation, Cognitive Processes, Arithmetic
Zhu, Liqi; Gigerenzer, Gerd – Cognition, 2006
Can children reason the Bayesian way? We argue that the answer to this question depends on how numbers are represented, because a representation can do part of the computation. We test, for the first time, whether Bayesian reasoning can be elicited in children by means of natural frequencies. We show that when information was presented to fourth,…
Descriptors: Mental Computation, Probability, Bayesian Statistics, Intermediate Grades