Analyzing Mathematical Creative Thinking Processes in Higher Education: A Learning Style Perspective in Graph Problem Solving

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This study aims to determine the process of mathematical creative thinking in solving graph problems based on students' learning styles. This research method เว็บสล็อต uses descriptive qualitative. This study was conducted on 5th semester students of the Mathematics Education Study Program, Universitas PGRI Semarang in the 2024/2025 Academic Year. Subjects were taken by purposive sampling. The research instruments were in the form of mathematical creative thinking tests, learning style questionnaires and interview guidelines. R4shub Data analysis techniques included validity, reliability, discriminatory power and difficulty level tests. Furthermore, data validity tests were carried out using the technical triangulation method and qualitative data analysis using an interactive analysis model. The results of the study showed that the mathematical creative thinking process of the average of the four students' learning styles at the preparation stage did not meet the indicators of flexibility and originality. The incubation and illumination stages still need assistance to bring up the originality indicators. เว็บสล็อต While the verification stage has met the four indicators of mathematical creative thinking ability completely. Thus, the findings of this study can be used as a consideration for lecturers in understanding the differences in students' learning styles. Lecturers can provide appropriate scaffolding to make it easier for students to solve graph problems.

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This study is a qualitative descriptive study, which aims to describe the mathematical creative thinking ability of middle school students from the characteristics of high, medium and low students' sense of responsibility. By using purposive sampling technique, the subject of this research consisted of 3 students. Data collection techniques in this study used test and non-test techniques using instruments supporting the characteristics of responsibility, mathematical creative thinking ability test I, interview guidelines, and mathematical creative thinking ability test II. Data analysis in this study includes data reduction, data representation and data conclusions.There are differences in mathematical creative thinking abilities between students with the characteristics of high, medium, and low level student responsibility. Indicators of mathematical creative thinking ability can be achieved by students with high responsibility characteristics. Meanwhile, students with medium and low responsibility characteristics have not been able to achieve the four indicators of mathematical creative thinking. Keywords: Mathematical creative thinking, responsibility characteristics.

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