2020
DOI: 10.29333/iejme/8435
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Relationship between Computational Estimation and Problem Solving

Abstract: The present study attempted to explore the relationship between computational estimation and problem solving in a sample of Year 6 children and adults (N=72). For this purpose, participants were presented with two tasks which asked them to estimate the computational result in eight arithmetic operations (Computational Estimation Task) as well as to provide solution to eight mathematical word problems, all coming from four different areas of mathematics (Problem Solving Task). The analysis of the results showed… Show more

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Cited by 7 publications
(6 citation statements)
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“…Students were found to be particularly weak in contextualised problems where algorithms did not suffice for a correct answer or when the results generated from them were incomplete and needed adaptation to make sense. This is in line with previous findings suggesting that students often rely too heavily on algorithms to solve mathematical tasks (Desli & Lioliou, 2020;Heirdsfield & Cooper, 2002), even when algorithms are insufficient or inappropriate to generate correct responses (Masingila et al, 1996;Menon, 2004).…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…Students were found to be particularly weak in contextualised problems where algorithms did not suffice for a correct answer or when the results generated from them were incomplete and needed adaptation to make sense. This is in line with previous findings suggesting that students often rely too heavily on algorithms to solve mathematical tasks (Desli & Lioliou, 2020;Heirdsfield & Cooper, 2002), even when algorithms are insufficient or inappropriate to generate correct responses (Masingila et al, 1996;Menon, 2004).…”
Section: Discussionsupporting
confidence: 92%
“…As an illustration, only 41% placed the decimal point correctly into the result of 15.24 × 4.5 displayed as 6858 in a "broken" calculator, while only half of them chose computational estimation over algorithms to do so. As illustrated by this example, students' difficulties in achieving reasonable results often stem from their weakness in using mental computations and computational estimation flawlessly or their reluctancy to do so altogether (Desli & Lioliou, 2020;Heirdsfield & Cooper, 2002). In another item of Menon's (2004) study, more than half of the participants (56%) considered 2¼ as the correct answer to the number of vehicles required for the transportation of 9 passengers.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…(1) the AC strategy involves rounding and multiplication procedures [18,27,31]; (2) the SOM strategy is based on intuitive approximate magnitude representations for the results, without any calculation. To test the neural network that associates with each of these strategies, during an fMRI scan, we asked participants to solve the computation estimation task in the no-choice paradigm: in one block using AC strategy only and in the other block using the SOM strategy only.…”
Section: Discussionmentioning
confidence: 99%
“…Recent studies reveal that specialists such as scientists, engineers, or mathematicians employ estimation before actually using assessment tools to reach to exact results (Jones & Taylor, 2009;Jones et al, 2012). Educators who emphasize the importance of estimation skills (Brade, 2003;Desli & Lioliou;Reys, 1984;Reys & Bestgen, 1981;Reys et al, 1991;Sowder & Wheeler, 1989;Van den Heuvel-Panhuizen, 2001) note that it is a skill required not only for a few occupations and daily life, but also helps develop numerous mathematical skills, such as mental activities, spatial visualization, assessments, and understanding quantities (Kose, 2013). That is why it is imperative and necessary to instill skills such as reasoning, interpreting, mental calculus, creative thinking, and estimation in the students, from their earliest years on.…”
Section: Introductionmentioning
confidence: 99%