scholarly journals Mathematical Problem-Solving Processes of Students with Special Needs: A Cognitive Strategy Instruction Model Solve It

2020 ◽  
Vol 12 (5) ◽  
pp. 405-416
Author(s):  
Ufuk Özkubat ◽  
Alpaslan Karabulut ◽  
Emine Ru_ya Özmen
2010 ◽  
Vol 45 (3) ◽  
pp. 171-183 ◽  
Author(s):  
Judy Coughlin ◽  
Marjorie Montague

This study investigated the effects of cognitive strategy instruction on the mathematical problem solving of three adolescents with spina bifida. Conditions of the multiple-baseline across-individuals design included baseline, two levels of treatment, posttesting, and maintenance. Treatment 1 focused on one-step math problems, and Treatment 2 focused on two-step problems. All students substantially improved as measured by performance on criterion tests of math problem solving. Discussion centers on the need for intervention studies with students with spina bifida that specifically address their unique characteristics and the adaptations and accommodations that benefit these students.


Jurnal Elemen ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 351-365
Author(s):  
Ayu Faradillah ◽  
◽  
Yasmin Husna Restu Fadhilah ◽  

This study aims to describe mathematical resilience on slow learner students in solving problems. According to the previous research, there is no research focused on the subject of slow learners. The research method is a qualitative descriptive approach. The total population of this study was 71 students with special needs, which consisted of 51 male students and 20 female students. The selection of subjects in this study was reviewed based on three levels of mathematical resilience, namely high, medium, and low. The process of selecting this subject uses the Wright Maps table on Winsteps application version 3.73. Selected subjects were given instruments and interviews to analyze their mathematical problem-solving. The results showed that mathematical resilience on slow learner students was directly proportional to solving mathematical problems for subjects with high mathematical resilience. Meanwhile, subjects with medium and low mathematical resilience were inversely proportional to solving mathematical problems. The stages of solving the problem of the slow learners were incomplete because they have not passed one of the stages formulated by Polya. Therefore, based on the results of this research analysis, teachers can pay more attention to the slow-learners learning strategies in solving problems.


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