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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Current Studies in SDGs Journal of Current Studies in SDGs
Titin Sunarti
State University of Surabaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Materials Science & Nanotechnology Physics Social Sciences Other

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From Algorithms to Awareness: AI-Enhanced Physics Education in the Framework of Education for Sustainable Development Hanan Zaki Alhusni; Binar Kurnia Prahani; Titin Sunarti; Madlazim Madlazim; Riski Ramadani; Muhammad Rey Dafa Ahmadi
Journal of Current Studies in SDGs Vol. 1 No. 3 (2025): August
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.1.3.83

Abstract

Objective: This study synthesizes research on the integration of Artificial Intelligence (AI) in physics education within the framework of Education for Sustainable Development (ESD). It aims to map current trends, highlight educational opportunities, and identify research gaps regarding AI’s potential to enhance learning outcomes and foster sustainability competencies. Method: A Systematic Literature Review (SLR) was conducted following PRISMA 2020 guidelines. A total of 48 peer-reviewed studies published between 2015 and 2025 were collected from major academic databases and Google Scholar using Boolean search strings combining terms related to AI, physics education, and ESD. The data were analyzed thematically to identify recurring patterns in AI technologies, physics content areas, ESD dimensions, methodologies, and educational outcomes. Results: The findings indicate that machine learning, deep learning, intelligent tutoring systems, and AI-powered virtual laboratories are the most common applications in physics education. These technologies were primarily applied in mechanics, electricity, and energy-related topics, with limited studies focusing on environmental physics. While AI consistently improved motivation, achievement, and critical thinking, the integration of broader ESD competencies remained uneven, with environmental literacy, social responsibility, and ethical reasoning less frequently addressed. Novelty: This study contributes by linking AI, physics education, and ESD, which are often studied separately, and proposes a conceptual roadmap to align AI integration with sustainable education goals.
From Algorithms to Awareness: AI-Enhanced Physics Education in the Framework of Education for Sustainable Development Hanan Zaki Alhusni; Binar Kurnia Prahani; Titin Sunarti; Madlazim Madlazim; Riski Ramadani; Muhammad Rey Dafa Ahmadi
Journal of Current Studies in SDGs Vol. 1 No. 3 (2025): August
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.1.3.83

Abstract

Objective: This study synthesizes research on the integration of Artificial Intelligence (AI) in physics education within the framework of Education for Sustainable Development (ESD). It aims to map current trends, highlight educational opportunities, and identify research gaps regarding AI’s potential to enhance learning outcomes and foster sustainability competencies. Method: A Systematic Literature Review (SLR) was conducted following PRISMA 2020 guidelines. A total of 48 peer-reviewed studies published between 2015 and 2025 were collected from major academic databases and Google Scholar using Boolean search strings combining terms related to AI, physics education, and ESD. The data were analyzed thematically to identify recurring patterns in AI technologies, physics content areas, ESD dimensions, methodologies, and educational outcomes. Results: The findings indicate that machine learning, deep learning, intelligent tutoring systems, and AI-powered virtual laboratories are the most common applications in physics education. These technologies were primarily applied in mechanics, electricity, and energy-related topics, with limited studies focusing on environmental physics. While AI consistently improved motivation, achievement, and critical thinking, the integration of broader ESD competencies remained uneven, with environmental literacy, social responsibility, and ethical reasoning less frequently addressed. Novelty: This study contributes by linking AI, physics education, and ESD, which are often studied separately, and proposes a conceptual roadmap to align AI integration with sustainable education goals.
Pengembangan Perangkat Pembelajaran Berbasis Discovery Learning dan Toulmin Argument Pattern (TAP) untuk Melatih Kemampuan Berpikir Kritis Siswa Pada Materi Pemanasan Global Arif Rahman Hakim; Wahono Widodo; Titin Sunarti
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.4862

Abstract

This study aims to develop learning tools for the Discovery Learning model based on the Toulmin Argument Pattern (TAP) which are valid, practical and effective for training students' critical thinking skills on global warming. This research is a development research with the ADDIE model (Analyze, Design, Develop, Implement, Evaluate) and is tested in SMA Negeri 1 Menganti with One Group Pre test – Posttest Design. Data collection through observation, tests and questionnaires. Data analysis techniques using descriptive quantitative analysis, qualitative and parametric statistical tests. The results of the study show that the learning tools developed are in the valid category, the learning tools developed are practical in terms of the implementation of the lesson plans and the learning activities of active students according to the stages of Discovery Learning syntax, the learning tools developed are effective in terms of from Increased critical thinking skills seen from the n-gain in the high category , there is an increase in students' critical thinking skills, there is no difference increasing critical thinking skills from one class to another.  It was concluded that the discovery learning model based on Toulmin's Argument Pattern (TAP) Global Warming material developed was valid, practical, and effective
Co-Authors Arif Rahman Hakim Binar Kurnia Prahani Hanan Zaki Alhusni Madlazim Madlazim Muhammad Rey Dafa Ahmadi Riski Ramadani Wahono Widodo