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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): September
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

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): September
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

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

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 â€“ 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. Â It was concluded that the discovery learning model based on Toulmin's Argument Pattern (TAP) Global Warming material developed was valid, practical, and effective

Analysis of High School Students' Physics Literacy Ability Towards the Phenomenon of Elasticity Based on the Natural of Science Literacy Test Instrument Retno Wandhira; Titin Sunarti; Oka Saputra; Binar Kurnia Prahani; Muhammad Satriawan; Hanandita Veda Saphira
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 13 No. 3: July 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v13i3.15767

The advancement of science and technology requires students to possess strong scientific literacy, particularly in understanding physical phenomena such as elasticity. However, students often demonstrate a low conceptual understanding of elasticity in real-life contexts, posing a challenge in physics education. This study aims to analyze studentsâ€™ physics literacy skills using the Nature of Science Literacy Test (NOSLiT) instrument. This research employed a descriptive quantitative approach with a sample of 30 students from classes A, B, and C. Data were collected through a written test based on the NOSLiT framework, which consists of six scientific literacy indicators, and analyzed quantitatively using achievement categories. The findings revealed that students' overall scientific literacy achievement was categorized as low (43.2%). The highest achievement was on the scientific evidence rule indicator (58.8%, moderate category), while the lowest was on science process skills (24.3%, very low category). These results suggest the need for more interactive and experiment-based instructional strategies to enhance studentsâ€™ conceptual understanding. Students' responses were mostly descriptive and lacked evidence-based reasoning, with misconceptions about relationships among physics variables still apparent. These findings emphasize the importance of incorporating scientific practicesâ€”such as experimentation, evidence utilization, and contextual problem-solvingâ€”into teaching. This study was limited to a single school and instrument, which restricts the generalizability of the results. Future research should include a broader sample and adopt a mixed-method approach to obtain more comprehensive insights. Moreover, the development of inquiry-based learning models is crucial to support the advancement of students' scientific literacy.

Development of FAZAR ALIRA Assisted PBL Materials to Enhance Students’ Scientific Literacy on the Human Circulatory System Fatimatuz Zahro; Eko Hariyono; Binar Kurnia Prahani; Elok Sudibyo; Titin Sunarti; Fasih Bintang Ilhami; Syamsul Bahri HS
JPPS (Jurnal Penelitian Pendidikan Sains) Vol. 15 No. 2 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpps.v15n2.p131-146

Objective: Innovative digital learning media are increasingly needed to help students understand complex biological concepts and develop scientific literacy. This study aimed to develop and evaluate the validity and practicality of FAZAR ALIRA, a learning media that integrates augmented reality (AR) visualization and virtual laboratory simulations within a PBL framework for teaching the human circulatory system. Method: The study employed a research and development approach consisting of analysis, design, development, and evaluation stages. The developed media includes AR visualizations of laminar and turbulent blood flow, contextual learning materials related to lifestyle and cardiovascular health, and interactive virtual laboratory simulations that allow students to investigate the relationship between blood vessel resistance, blood pressure, and heart workload. Results: The validity of the media was evaluated by science education experts and practitioners, while its practicality was examined through teacher and student responses during implementation. The results indicate that FAZAR ALIRA achieved high validity across content, construct, and language aspects and was considered practical and easy to use in classroom learning. Novelty: This study lies in integrating AR-based blood flow visualization, contextual health narratives, and virtual laboratory inquiry within a PBL environment to support students’ scientific literacy in learning the human circulatory system.

Exploratory Factor Analysis (EFA) of PhET Simulation-Based Innovation in Rigid Body Equilibrium Learning to Enhance Students’ Conceptual Understanding Hanan Zaki Alhusni; Ratna Purnamawati; Binar Kurnia Prahani; Titin Sunarti; Riski Ramadani; Iqbal Ainur Rizki
Journal of Digitalization in Physics Education Vol. 1 No. 3 (2025): December
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jdpe.v1i3.42475

Objective: This study aimed to analyze the validity and reliability of an instrument developed to measure students’ perceptions of PhET simulation–based innovations in learning rigid body equilibrium. The research sought to determine whether the instrument accurately captured students’ conceptual understanding, engagement, and satisfaction while also identifying latent factors underlying their responses through Exploratory Factor Analysis (EFA). Method: The study employed a quantitative survey approach with 25 Likert-scale items distributed to students in one secondary school. Data were analyzed using descriptive statistics, Kaiser-Meyer-Olkin (KMO), and Bartlett's test for sampling adequacy, followed by EFA with Varimax rotation. Reliability testing was conducted through Cronbach's Alpha to evaluate the internal consistency of extracted factors. Results: The findings revealed that the instrument achieved strong overall reliability (Cronbach’s α = .909). EFA identified nine distinct factors, extending beyond the original five theoretical dimensions of ease of use, engagement, conceptual clarity, collaboration, and satisfaction. While the first five factors demonstrated high reliability (α > .75), Factors 6–9 exhibited weaker reliability, indicating the need for refinement. These results confirm that PhET simulations effectively enhance conceptual understanding and engagement, but also reveal additional dimensions of students’ learning experiences. Novelty: This study contributes to physics education research by providing a validated multidimensional instrument for evaluating PhET-based learning in rigid body equilibrium. The emergence of nine empirical factors highlights the complex nature of students’ perceptions and underscores the need for more nuanced measurement tools. Unlike prior research focusing solely on conceptual gains, this study emphasizes the psychometric validation of students’ experiences, offering a novel framework for assessing technology integration in physics education.

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