Rizki Zakwandi, Edi Istiyono, Baiq Armita Maradona
Computational thinking skill is a new framework that belongs to the hybrid modes of thinking. This study aims to explore the effect of the problem-solving laboratory and gender in practicing computational thinking skills. Learning media is pursued by designing experimental-based learning using smartphone sensors. A smartphone sensor was used to facilitate students to measure physical quantities independently during the COVID-19 pandemic. This study was conducted in two science classes of Senior High School with a post-test-only control group design. Data were collected using a Google Form, consisting of 12 mixed essays and multiple-choice questions representing seven indicators of computational thinking skills. The data were analyzed using the Analysis of Variant (ANOVA) method to identify the influence of the learning model and gender. The study results show a significant difference between the experimental class using the problem-solving laboratory model and the control class using the regular model. Statistical calculation showed a significance of 0.000 (p < 0.05) with effect size of 0.237. In addition, there is no interference from the gender on student computational thinking skills with a significant value of 0.077 (p > 0.05) and effect size of 0.025. This study is expected to be a guideline for practicing computational thinking skills and encourage teachers to develop smartphone-assisted experiments. © 2024 Author(s).
Department of Physics Education, Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia; Department of Research and Educational Evaluation, Graduate School, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia
