Multiple Representations and Mathematical Creativity

2021 ◽  
pp. 100960
Author(s):  
Ali Bicer
Author(s):  
Fitria Arifiyanti

The purpose of this research was to find out the effectiveness of the implementation of problem based learning model with multiple representations to reduce the percentage of students’ difficulty in XIth Science SMAN 1 Pontianak. The research design was one group pretest-posttest design, and the instrument used was an essay test. Test reliskill (0, 5) was classified as medium, and test validity (3,56) was classified as a medium. The effect size of this research (2,18) was classified high, but the reduction percentage of the student’s difficulty (41,33%) was classified as a medium. The percentage increase in the students’ skill in multiple representations (52,38%) was classified as a medium. The research doesn’t find a significant correlation between the posttest result of students’ difficulty and the posttest result of studentS’ skill in multiple representations (C = 0,935, p = 0.348). The research result was expected to the development of the implementation problem based learning model with multiple representations approach.Keywords: Implementation, Multiple representations, Problem Based Learning


2021 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Michaela A. Meier ◽  
Julia A. Burgstaller ◽  
Mathias Benedek ◽  
Stephan E. Vogel ◽  
Roland H. Grabner

Mathematical creativity is perceived as an increasingly important aspect of everyday life and, consequently, research has increased over the past decade. However, mathematical creativity has mainly been investigated in children and adolescents so far. Therefore, the first goal of the current study was to develop a mathematical creativity measure for adults (MathCrea) and to evaluate its reliability and construct validity in a sample of 100 adults. The second goal was to investigate how mathematical creativity is related to intelligence, mathematical competence, and general creativity. The MathCrea showed good reliability, and confirmatory factor analysis confirmed that the data fitted the assumed theoretical model, in which fluency, flexibility, and originality constitute first order factors and mathematical creativity a second order factor. Even though intelligence, mathematical competence, and general creativity were positively related to mathematical creativity, only numerical intelligence and general creativity predicted unique variance of mathematical creativity. Additional analyses separating quantitative and qualitative aspects of mathematical creativity revealed differential relationships to intelligence components and general creativity. This exploratory study provides first evidence that intelligence and general creativity are important predictors for mathematical creativity in adults, whereas mathematical competence seems to be not as important for mathematical creativity in adults as in children.


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