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Journal : Journal of Current Studies in SDGs

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.
Multiple Intelligences in Digital Physics Learning for Education for Sustainable Development Hanan Zaki Alhusni; Titin Sunarti; Hanandita Veda Saphira; Riski Ramadani
Journal of Current Studies in SDGs Vol. 1 No. 4 (2025): December
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.1.4.101

Abstract

Objective: This study aims to synthesise research on the application of Multiple Intelligences (MI) in digital physics learning within the framework of Education for Sustainable Development (ESD). The goal is to map trends, highlight opportunities for personalised, sustainability-oriented learning, and identify gaps that hinder the integration of MI and digital technologies to foster sustainability competencies. Method: A Systematic Literature Review (SLR) was conducted following the PRISMA 2020 guidelines. Articles were collected from Google Scholar, Scopus, IEEE Xplore, ERIC, and ScienceDirect, limited to peer-reviewed studies published between 2018 and 2023 in English or Indonesian. Forty eligible studies were analysed thematically and through content analysis. Results: The findings show that MI-based digital learning enhances students' motivation, engagement, conceptual understanding, and academic performance. Interactive simulations, video-based modules, virtual experiments, and AR/VR applications offer personalised learning aligned with students' dominant intelligences. MI also supports ESD competencies such as critical thinking, collaboration, and sustainability awareness, though aspects like environmental literacy, social responsibility, and ethical reasoning remain underexplored. Novelty: This review uniquely links the MI, physics education, and ESD domains, which are rarely integrated in prior studies. It emphasises MI's potential to enhance cognitive outcomes while embedding sustainability values into physics education. A conceptual roadmap is proposed to align MI-based digital physics learning with the Sustainable Development Goals.
Glocal Wisdom in Earthquake Mitigation and Education for Sustainable Development Hanan Zaki Alhusni; Binar Kurnia Prahani; Titin Sunarti; Madlazim Madlazim
Journal of Current Studies in SDGs Vol. 1 No. 4 (2025): December
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.1.4.106

Abstract

Objective: This study systematically analyses how glocal wisdom — the integration of local and global knowledge — supports earthquake mitigation and education for sustainable development (ESD). It identifies research patterns, key themes, and gaps in the linkage between cultural wisdom and disaster risk reduction and sustainability education. Method: A Systematic Literature Review (SLR) based on the PRISMA protocol was conducted using the Scopus database. From an initial 66,648 records (2015–2025), 15 peer-reviewed articles were selected through multi-stage filtering based on year, subject area, document type, language, and open-access criteria. Data were analysed using bibliometric mapping and thematic content analysis. Results: Four dominant themes emerged: (1) local knowledge in structural mitigation, (2) glocal wisdom in community-based education, (3) ESD integration models, and (4) policy and implementation gaps. The increase in studies from 2020 to 2023 reflects growing global interest in integrating indigenous knowledge into modern disaster education systems. Novelty: This research redefines glocal wisdom as a core epistemological foundation for sustainable and disaster-resilient education. By combining bibliometric and qualitative analyses, this study proposes a new integrative framework that links traditional knowledge, scientific innovation, and pedagogy to advance ESD and disaster literacy.