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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Current Studies in SDGs Journal of Current Studies in SDGs
Madlazim Madlazim
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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Penerapan Problem-Based Learning dalam Studi Biofisika untuk Meningkatkan Kemampuan Berpikir Kritis Mahasiswa Pendidikan Sains Muhammad Andika Putra; Madlazim Madlazim; Eko Hariyono; Mohammad Budiyanto
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.6688

Abstract

This study investigates the effectiveness of Problem-Based Learning (PBL) in improving the critical thinking skills of science education students in a biophysics course. The research employed a pre-experimental design using the One Shot Case Study method with posttest-only data. The participants were fourth-semester undergraduate students from the Science Education Study Program at the State University of Surabaya, who took the Biophysics course in the 2023/2024 academic year. The study was conducted in June 2023. Data analysis using the Shapiro-Wilk test showed a significance value of 0.086, indicating that the data were normally distributed. A one-sample t-test yielded a significance value of 0.417, which supports the conclusion that PBL has a positive influence on students’ critical thinking skills. Overall, the implementation of PBL in biophysics lectures demonstrates its potential to enhance critical thinking among science education students.
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.
Co-Authors Binar Kurnia Prahani Hanan Zaki Alhusni Hariyono, Eko MOHAMMAD BUDIYANTO Muhammad Andika Putra Muhammad Rey Dafa Ahmadi Riski Ramadani Titin Sunarti