Operational momentum during children’s approximate arithmetic relates to symbolic math skills and space–magnitude association

2022 ◽  
Vol 213 ◽  
pp. 105253
Author(s):  
Selim Jang ◽  
Soohyun Cho
EDUKASI ◽  
2016 ◽  
Vol 14 (2) ◽  
Author(s):  
Hery Suharna ◽  
Agung Lukito Nusantara ◽  
I Ketut Budayasa

The research reveals a profile of reflective thinking of elementary school students in problem solving fractions based on his mathematical abilities. The instruments used in data collection is Test Problem Solving (TPM), interview. Selection of research subjects in a way given test is based on the ability of mathematics, namely mathematical skills of high, medium and low and further categorized and taken at least 2 people to serve as subjects. The research objective is: describe the profile of reflective thinking that math skills of elementary school students High, medium, and low. Based on the results of the study found reflective thinking profile and high ability students were as follows: (a) the step to understand the problems students have information/knowledge or data that is used to respond, comes from inside (internal) and can explain what has been done; (B) the planned step problem solving students have information/knowledge or data that is used to respond, comes from inside (internal) and can explain what has been done; (C) on measures to implement the plan in terms of information/knowledge or data used by students to respond, comes from inside (internal), could explain what has been done, realized the error and fix it, and communicate ideas with a symbol or image, and (d) the checking step back, namely information/knowledge or data that is used by students to respond, comes from inside (internal) and can explain what has been done. Profile of reflective thinking ability students lowly mathematics, namely: (a) at the stage of understanding the problem, students can determine known and asked in the problem, but the students' difficulties to explain the identification of the facts that have been done, the students explained the understanding vocabulary, and feel of existing data the matter is enough; (B) at the stage of implementing the plan, the students explained, organize and represent data on the issue, describes how to select the operation in solving a problem though students are not sure, and students' difficulty in explaining what he had done; (C) at the stage of implementing the plan, the student has information on calculation skills although the answer is not correct. Students difficulty in explaining about the skills calculations have been done, trying to communicate their ideas in the form of symbols or images, even if students rather difficult to describe, and realized there was an error when using a calculation skills and improve it; (D) at the stage of check, students' difficulties in explaining whether obtained estimates it approached, it makes senseKeywords: reflective thinking, problem solving, fractions, and math skills.


2020 ◽  
Vol 2 (4) ◽  
pp. 39
Author(s):  
Carla C. Van de Sande

If you don’t use it, you lose it. School breaks, during which students do not regularly participate in instruction, can therefore have negative consequences on learning. This is especially true for mathematics learning since skills build progressively on earlier materials. How can we bridge these gaps in formal instruction? The Keeping in School Shape (KiSS) program is a mobile, engaging, innovative, and cost-effective way of using technology to help students who have time off between related math courses stay fresh on prerequisite knowledge and skills. Founded on learning theory and designed on a model of behavioral change, the KiSS program embodies retrieval practice and nudges by sending students a daily multiple-choice review problem via text messaging over school break. After rating their confidence in solving the daily problem students receive feedback and a solution. This study explores measures of participation, accuracy, and confidence in an implementation of the KiSS program over winter break between two sequential introductory engineering courses at a large state university in the Southwest United States. Results indicate that careful attention should be paid to the construction of the first few days of the program, and that encouragement, additional resources for review and practice, and an increased breadth of problem difficulty may improve participation.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Richard J. Daker ◽  
Sylvia U. Gattas ◽  
H. Moriah Sokolowski ◽  
Adam E. Green ◽  
Ian M. Lyons

AbstractMath anxiety is widely considered a potential barrier to success in STEM. Current thinking holds that math anxiety is directly linked to avoidance of and underperformance in STEM domains. However, past evidence supporting these claims is limited in important ways. Perhaps most crucially, it is possible that math anxiety predicts STEM outcomes merely as a proxy for poor math skills. Here, we tested the link between math anxiety and subsequent STEM outcomes by measuring math anxiety, math ability, and several covariates in 183 first-semester university students. We then tracked students’ STEM avoidance and achievement through four years at university via official academic transcripts. Results showed that math anxiety predicted both a reduction in how many STEM courses students took and, separately (i.e., controlling for one another), lower STEM grades. Crucially, these associations held after controlling for math ability (and other covariates). That math anxiety predicts math-related academic achievement independently of Math Ability suggests that, contrary to current thinking, math anxiety’s effects on academic performance likely operate via mechanisms other than negatively affecting math ability. Beyond this, we show evidence that math anxiety can account for associations between math ability and STEM outcomes, suggesting that past links between math ability and real-world outcomes may, in fact, be at least partially explainable by attitudes toward math. These findings provide clear impetus for developing and testing interventions that target math anxiety specifically and suggest that focusing on math ability without additional attention to math anxiety may fail to optimally boost STEM outcomes.


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