Answers are grounded in this paper and cite their sources.
PBL's computational thinking-based learning model is a learning model that emphasizes contextual problem solving using the principles of computational thinking in the problem-solving process. This study aims to determine the impact of the application of the computational thinking-based learning model of PBL on the learning outcomes of students in grade IV MIN 2 Mojokerto. This study is conducted to evaluate the effectiveness of the learning model in improving the understanding of the students in the problem-solving process. The study is a quantitative study using the One Group Pretest Postest method with samples taken from students of 4th grade A MIN 2 Mojokerto of a total of 27 students conducted on January 17, 2024. The data analysis used was the descriptive test, the paired sample T-test, and the N-Gain test. The average pretest score was 46.48, and the average posttest value was 76.03. As for the paired sample test, T-Test obtained a Sig. (2-tailed) score of 0.000 < 0.05, so H was rejected and H1 accepted. Moreover, the N-Gain score was 0.3 < 0.5393 < 0.7, so it could be concluded that the PBL learning model based on computational thinking had a moderate influence on student learning outcomes, which means that the application of the problem-based learning model (PBL) based on computational thinking had a significant, but not very strong, impact on improving student learning results.
No takes yet. Share an insight, caveat, or question.
Syahrani et al. (2024) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: