Abstract: Problem solving requires analytical reasoning skills and comprehension. It is sometimes difficult to solve a problem due to misrepresentation of words problem. Thus, visual representation is an important factor in problem solving. This research determined the effects of the Concrete-Pictorial-Abstract-Approach on the Mathematics Problem Solving Performance of the First Year Bachelor of Industrial Technology students at Capiz State University, Main Campus. This study employs quasi-experimental research design, the matching only of pre-test and post-test of the experimental and control group. There were fifty-two (52) participants coming from two (2) different sections, twenty-six (26) of whom were the experimental group and the other twenty-six (26) were the control group. The research instrument used is a researcher made test in Mathematics problem solving validated by three experts in Mathematics teaching, and pilot tested at Capiz State University, Main Campus. The instrument underwent reliability test and the result show a reliability index of 0.76 Cronbach alpha. Descriptive statistics was aided by frequency, mean, and percentage standard deviation and mean gain while the inferential tools were the t-test for independent samples and Wilcoxon Signed Rank Test for related samples. All levels of significance were set at 0.05 alpha. Descriptively the pre-test of the mathematics problem solving performance of the two instructional groups was “low”. The post-test of the mathematics problem solving performance of the experimental was “high” while the control group instructions was marked average. Mathematics problem solving performance mean gain of the experimental group showed development from “low” to “high”. The inferential analysis revealed that there were no significant differences in the pre-test scores of the two groups of mathematics problem solving performance.

Keywords: quasi-experimental, block model approach, visualization

Works Cited:

Gemma F. Agustin "Concrete Pictorial Abstract (CPA) Approach in Mathematics Problem Solving", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 10, no. 7, pp. 658-662, 2023. Crossref https://doi.org/10.17148/IARJSET.2023.107109

| DOI: 10.17148/IARJSET.2023.107109