Let the Classroom Become the Training Field of Students' Thinking—— How to Improve the Effectiveness of Primary School Students' Mathematical Thinking

2021 ◽  
Vol 5 (2) ◽  
pp. 1928-1942
Author(s):  
Puri Pramudiani ◽  
Tatang Herman

This study aims to investigate primary school students’ mathematical thinking in column calculation and algorithms. The method used in this research is qualitative descriptive. The participants of this research were twelve Indonesian primary school students at grade 3 and 4 in Ciparay, Bandung, West Java. They worked to solve calculation and algorithm questions developed from TAL TEAM book Freudenthal Institute, Utrecht University, The Netherlands that were classified based on the strategies used. After analyzing their written works, interviews were organized to acquire further information about their mathematical thinking. The study found that students’ strategies in dealing with calculation algorithm consist of three strategies. The first strategy is the splitting strategy from units to tens column and then the interim results are combined. The second strategy is the splitting strategy used from tens to unit column and the interim results are added vertically digit-by-digit. The third strategy is the transition from splitting strategy from units to tens column consists primarily of using abbreviated column calculation for the interim results in each column. In addition, several students made common mistakes due to misconception about algorithm and arithmetical problems. Implication of this research for teaching and learning calculation and algorithms were described elaborately.


The aim of this study was to identify the factors associated with school refusal behavior in primary school students. Student’s self-report and teacher’s measures were implemented; and students were recruited from 20 primary schools in six districts in Selangor, Malaysia. The survey was conducted at the end of school term in 2016, with a total of 915 students from Year 4 and Year 5 participating. The sample of students had been absent from school for more than 15% of school days in the current year. Pearson correlation shows a significant relationship between academic achievement and school satisfaction toward school refusal behavior. The findings of this study suggest that academic difficulties and dissatisfaction towards school environment could be the important risk factors for school refusal behavior. The present study underscores the importance of early detection and intervention as measures to reduce school refusal. Finally, the findings imply that the role of school factors should always be taken into account in connection with school refusal behaviour.


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