Meningkatkan Kemampuan Berpikir Kreatif Matematis Siswa Melalui Pendekatan Deep Learning Berbantuan Gimkit

Mathematical creative thinking is an essential higher-order thinking skill that should be developed through mathematics learning. However, students' creative thinking skills remain relatively low, indicating the need for learning approaches that actively engage students in meaningful learning experiences. This study aimed to determine the improvement of students' mathematical creative thinking skills through the implementation of a Deep Learning approach assisted by Gimkit on the topic of polyhedra. This study employed a quantitative approach using a quasi-experimental method with a nonequivalent pretest-posttest control group design. The participants consisted of 45 eighth-grade students at MTs Muhammadiyah Kubangkondang, including 22 students in the experimental class and 23 students in the control class. Data were collected using a mathematical creative thinking test and analyzed through the Shapiro-Wilk normality test, homogeneity test, Independent Samples t-Test, and N-Gain Score analysis. The findings revealed that students taught using the Deep Learning approach assisted by Gimkit demonstrated significantly better improvement in mathematical creative thinking skills than those receiving conventional instruction. This result was supported by the posttest t-test value of 9.125 and the N-Gain t-test value of 8.428, indicating a significant difference between the two groups. The experimental class achieved a mean posttest score of 67.27, while the control class obtained 44.35. Furthermore, the average N-Gain score of the experimental class was 57.63% (moderate category), whereas the control class achieved 28.10% (low category). Therefore, the Deep Learning approach assisted by Gimkit can be considered an effective alternative for improving students' mathematical creative thinking skills.