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The Effect of Problem Based Learning Model toward the Ability of Science Literacy in 3rd Grade Students Uswatun Hasanah; Prima Mutia Sari
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i12.5866

Abstract

The purpose of this study was to analyze how much influence the use of a problem-based learning model on the ability of science literacy learners in Learning Natural Sciences class III Makassar State Elementary School. This study uses the experimental method, and the form of research is a quasi-experiment. With the design of posttest only control design, and sampling techniques using purposive sampling. Based on the results of data analysis, the average post-test in the experimental class was 33.82 while in the control class was 23.18. Hypothesis test results using T-test with Mann Withney formula, obtained by Asymp. Sig (2-tailed) 0.014. The value of asymptotic significance in the calculation of the t-test is smaller than the significance level of 0.05, thus the HA is accepted, so that from the test results there is a significant influence between the results of scientific literacy students who use problem-based learning model.
Analysis of mathematical computational thinking skills in the context problem solving based on gender Fitri Alyani; Uswatun Hasanah
UNION : Jurnal Ilmiah Pendidikan Matematika Vol 12 No 2 (2024)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/union.v12i2.17582

Abstract

This study aims to provide an overview of the computational mathematical thinking abilities of male and female students in solving mathematical problems and the aspects (abstraction, decomposition, algorithmic thinking, and generalization) that influence these differences. This study uses a qualitative method with a case study approach in a junior high school in Jakarta for the academic year 2023/2024. The participants in this study are 36 students. Data were collected through written examinations and interviews and analyzed using the triangulation technique. The results of the study showed different patterns of computational thinking skills between male and female students. Male students excel in decomposition and algorithmic thinking but are weak in abstraction and generalization. Female students excel in abstraction and decomposition but are weak in algorithmic thinking and generalization. Both male and female students master the context of decomposition for computational thinking skills but lack mastery in the context of generalization. In conclusion, gender differences influence specific aspects of computational thinking skills, indicating the need for tailored educational strategies to address these differences.