VStops: A Thinking Strategy and Visual Representation Approach in Mathematical Word Problem Solving toward Enhancing STEM Literacy
 
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National University of Malaysia, MALAYSIA
 
 
Publication date: 2014-12-15
 
 
EURASIA J. Math., Sci Tech. Ed 2014;10(3):165-174
 
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ABSTRACT
This study aimed to determine the impact of strategic thinking and visual representation approaches (VStops) on the achievement, conceptual knowledge, metacognitive awareness, awareness of problem-solving strategies, and student attitudes toward mathematical word problem solving among primary school students. The experimental group (N=96) received the VStops approach in teaching and learning of mathematical word problem solving, while the control group (N=97) received the conventional approach. Five instruments were used to collect the data: the achievement test, conceptual knowledge test, metacognitive awareness questionnaire, problem-solving strategies awareness questionnaire, and attitudes toward mathematical word problem-solving questionnaire. Pre and posttest data were analyzed using multivariate analysis of variance (MANOVA) followed by univariate analysis of variance (ANOVA). Overall, the study found that the VStops approach had a positive impact on achievement, conceptual knowledge, metacognitive awareness, awareness of problem-solving strategies, and student attitudes toward mathematical word problem solving.
eISSN:1305-8223
ISSN:1305-8215
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