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Problem-Based vs Design-Based Learning: Which Better Develops Computational Thinking in Middle School Science Students? Fadilah, Rizka Elan; Supeno, Supeno; Rusdianto, Rusdianto; Nuha, Ulin; Firdausi, Soraya; Prasetya, Ferry Budi; Izza, Nuril Ayyamil; Khasfiyatin, Siti
Jurnal Pendidikan MIPA Vol 25, No 3 (2024): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

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Abstract

Computational thinking has become a crucial skill for students because it gives them the tools to solve complicated issues using organized methods. Implementing Problem-based learning and Design-based learning in science learning has significantly enhanced students' skills. This research aims to ascertain which of the two models is better for facilitating computational thinking skills among middle school students in science learning. The study used a sample of 69 middle school students selected through random sampling. This research employs a quasi-experimental, multi-group, post-test-only design. The instrument utilized in this research is a computational thinking skills test comprising five questions. The data were analyzed using one-way ANOVA to test the hypotheses. Tukey test results indicate that the mean difference score between the PBL and DBL groups is 1.2609, with a significance value greater than 0.05. The study confirms that Problem-based learning is more effective than Design-based learning in facilitating students' computational thinking skills. However, the difference between the two is not particularly noteworthy. PBL and DBL represent viable pedagogical approaches that can enhance middle school students' computational thinking skills in science learning.         Keywords: problem-based learning, design-based learning, computational thinking skill. DOI: http://dx.doi.org/10.23960/jpmipa/v25i3.pp1214-1223
Profil Computational Thinking Skill Siswa SMP dalam Pembelajaran IPA Izzah, Nuril Ayyamil; Suwaibatulilla, Anggun; Khasfiyatin, Siti; Jayati, Rina Tut; Supeno, Supeno
Jurnal Paedagogy Vol. 10 No. 4: Jurnal Paedagogy (October 2023)
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v10i4.9193

Abstract

This research aims to describe the profile of students' computational thinking skills (CTS) in solving problems on topics about work, energy, and simple machines in science learning. This research was conducted using a descriptive method with a quantitative approach. The subjects in this research were students in classes VIII A and IX A of SMP Negeri 4 Jember for the 2023/2024 academic year, with a total of 64 students from each class taken from 32 students in each class. The data collection technique in this research used a Computational Thinking essay test with 5 questions, which were then analyzed using quantitative descriptive analysis. Based on the research results, it is known that the CTS level of class VIII students was 35.97, so it was categorized as low, and the CTS level of class IX students was 53.59, which has been given treatment, so it is categorized as medium. The highest level that class VIII students could achieve was 55.47%, namely decomposition ability, and the lowest percentage was 2.18%, namely evaluation ability. Meanwhile, the highest level that could be achieved by class IX students who had received learning material on work, energy, and simple machines was 59.37%, namely decomposition ability, and the lowest level was 20.93%, namely pattern recognition ability.