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All Journal Jurnal Ilmiah Pendidikan Fisika Journal of Natural Science and Integration
Firmanul Catur Wibowo
State University of Jakarta
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Education Physics

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Development of Teaching Materials Based on Scientific Argumentation on the Topic of Earth and Solar System Farida Nur Setiati; Siswanto Siswanto; Eko Juliyanto; Eli Trisnowati; Firmanul Catur Wibowo
Journal of Natural Science and Integration Vol. 8 No. 2 (2025): Journal of Natural Science and Integration
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jnsi.v8i2.26428

Abstract

Scientific argumentation plays a crucial role in fostering higher-order thinking and scientific literacy in science education. However, studies have shown that Indonesian students’ scientific argumentation skills remain low, while existing science textbooks generally reach only level 2 of argumentation quality. Consequently, these materials are not yet effective in facilitating the development of students’ argumentation competence. Furthermore, the topic of the Earth and the Solar System continues to generate misconceptions among students, highlighting the need for learning materials that integrate structured argumentation activities. This study, therefore, aims to develop science teaching materials based on scientific argumentation activities for the topic of the Earth and the Solar System. The research employed the Fuzzy Delphi Method, encompassing five key stages: (1) determining the model of scientific argumentation construction for developing argumentative texts, (2) defining learning indicators for material development, (3) designing teaching materials based on expert-validated indicators, (4) assessing the readability of the materials, and (5) validating the developed materials. The findings indicate that the resulting teaching materials are valid and appropriate for students’ cognitive levels. The materials were structured using a scientifically validated argumentation model and learning indicators categorized into cognitive levels of remembering, understanding, analyzing, and creating across five subtopics. Readability analysis using the Fry graph confirmed suitability for the target age group, while expert validation demonstrated high content and construct validity. These results suggest that the developed materials effectively support the integration of scientific argumentation in science learning, particularly on Earth and Solar System concepts.Keywords: scientific argumentation, teaching materials, earth and solar system, fuzzy delphi method.
Adaptive Digital Modules and Artificial Intelligence in Physics Education: Bibliometric Analysis Using Scopus Data Abdul Muhyi; Bambang Heru Iswanto; Yuli Rahmawati; Firmanul Catur Wibowo
Jurnal Ilmiah Pendidikan Fisika Vol 9, No 3 (2025): OCTOBER 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v9i3.15607

Abstract

This research aims to analyze global trends in the development of adaptive digital modules based on artificial intelligence (AI) in fluid physics learning through a bibliometric approach. As the 21st-century demand for critical thinking skills and technological understanding grows, AI-based modules are becoming increasingly relevant in supporting differentiated learning. However, a comprehensive mapping of scientific publications in this field remains limited, leading to gaps in understanding current research directions and potential collaboration opportunities. This research uses bibliometric software to identify publication patterns, researcher collaboration networks, and key trends in the development of AI-based physics learning modules. The data used is taken from the Scopus database and includes related publications from 2019 to 2024. The research method involves two main steps: data collection of publications using the keywords "adaptive digital module AND AI AND physics education" and metadata analysis to identify research trends and researcher collaborations. The analysis results show a significant increase in the number of publications on AI-based adaptive learning, particularly from countries such as China, the United States, and India. The findings also indicate that the main research topics include the development of AI technology to support adaptive learning, as well as the effectiveness of digital modules in the context of physics education. This research reveals the importance of international collaboration in the development of AI-based adaptive modules and recommends the use of other bibliometric methods as well as the expansion of database coverage for future research. Furthermore, this research provides important insights for the development of more effective learning strategies through AI technology in physics education.
Co-Authors Abdul Muhyi Bambang Heru Iswanto Eli Trisnowati Farida Nur Setiati Siswanto Siswanto Yuli Rahmawati