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Artificial Intelligence in Physics Learning for Education for Sustainable Development: A Bibliometric Analysis Riski Ramadani; Hanan Zaki Alhusni; Titin Sunarti; Madlazim Madlazim
Journal of Law and Bibliometrics Studies Vol. 1 No. 3 (2025): December
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.3.95

Objective: This study aims to map the global research landscape on Artificial Intelligence (AI) in physics education within the framework of Education for Sustainable Development (ESD) using a bibliometric approach. The objective is to identify publication trends, key contributors, collaborative networks, and emerging themes that define the development of this research domain. Method: The analysis was based on 4,814 documents retrieved from the Scopus database for the period 2015–2025. Data preprocessing included deduplication and keyword harmonization. Bibliometric analysis was conducted using performance indicators (publication output, influential authors, journals, countries, institutions) and science mapping (co-authorship, co-occurrence, co-citation) with VOSviewer and Bibliometrix. Results: Findings reveal three phases of publication dynamics: initial emergence (2015–2018), growth (2019–2021), and accelerated expansion (2022–2024), with a peak in 2024. The United States dominates global output, followed by China and Indonesia. Physics-focused journals such as Physical Review Physics Education Research and Journal of Physics: Conference Series serve as major outlets. Co-authorship networks show a core cluster in Europe and North America, while Asian and Global South researchers are increasingly active. Thematic mapping highlights clusters on AI-enabled assessment, machine learning, Large Language Models (LLMs), and sustainability-oriented physics education. Novelty: This paper provides a systematic overview of the intellectual structure and thematic evolution of AI-based physics education for ESD. It identifies gaps, including limited cross-country collaboration, low experimental validation, and uneven global participation, while highlighting opportunities for ethical, inclusive, and sustainability-aligned AI integration in future physics learning.

Mapping the Global Research Landscape of Problem-Based Learning in Digital Learning Environments: A Bibliometric Analysis Toward Achieving SDG 4 Hanan Zaki Alhusni; Binar Kurnia Prahani; Budi Jatmiko; Riski Ramadani; Noer Risky Ramadhani; Lindsay Natalia Bergsma; Abd. Hadi Bunyamin
Journal of Law and Bibliometrics Studies Vol. 2 No. 2 (2026): August
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.2.2.137

Objective: The study aims to map the global research landscape of Problem-Based Learning (PBL) in Digital Learning Environments (DLE) using a bibliometric approach. The objective is to identify publication trends, major contributors, collaboration patterns, and emerging research themes supporting the development of sustainable digital education aligned with Sustainable Development Goal 4 (SDG 4). Method: The analysis was conducted on 2,134 documents retrieved from the Scopus database covering publications up to 2025. Data preprocessing involved duplicate removal, document filtering, and keyword harmonization. Bibliometric analysis employed performance indicators (annual publications, productive authors, sources, affiliations, and countries) and science mapping techniques (co-authorship, keyword co-occurrence, and citation analysis) using Bibliometrix and VOSviewer to visualize the intellectual structure of the field. Results: The findings reveal a substantial growth of research in this field, particularly following the global acceleration of digital education. China and the United States dominate research productivity, followed by emerging contributions from countries such as Indonesia. Publication sources are largely dominated by conference proceedings and journals in educational technology and computer science, highlighting the field's interdisciplinary nature. Novelty: This study provides a comprehensive mapping of the intellectual structure and thematic evolution of PBL research in Digital Learning Environments. It identifies research gaps, including limited international collaboration and the need for greater integration of emerging technologies such as artificial intelligence. The findings offer directions for future research to strengthen sustainable digital learning innovation and support the achievement of SDG 4.

Trends, Methods, and Perspectives of Education Curriculum in Indonesia Towards the Quality and Outcomes of Physics Learning Using the Bibliometric Approach Hanan Zaki Alhusni; Akhmad Iswardani; Titin Sunarti; Hanandita Veda Saphira; Muhammed Akif Kurtuluş
Journal of Law and Bibliometrics Studies Vol. 1 No. 1 (2025): April
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.1.41

Objective: This study aims to map related keywords and identify research trends concerning the Indonesian physics curriculum, with a focus on quality and learning outcomes, in order to uncover potential directions for future research. It also seeks to provide an overview of research topics that have been most frequently explored, especially those indexed in the Scopus database. Method: This study employed a bibliometric analysis approach using data retrieved from the Scopus database. The analysis focused on publications related to the Indonesian curriculum in physics education from 1977 to 2024. The parameters analyzed included keyword co-occurrence, most productive authors, and frequently targeted journals. Results: The bibliometric analysis identified 287 articles related to the Indonesian curriculum. The most frequently occurring keywords were curriculum, quality education, curriculum development, and curriculum evaluation. The most prolific author in this field was Didi S. Meanwhile, the Journal of Physics: Conference Series appeared as the journal with the most publications related to curriculum and science literacy. These results indicate a continuing interest in curriculum-related research within the scope of physics education in Indonesia. Novelty: This study offers a systematic mapping of Indonesian curriculum research trends in physics education over nearly five decades. It highlights underexplored areas and presents evidence-based insights into future research opportunities, particularly in integrating curriculum studies with physics learning outcomes. The findings contribute to strategic planning for researchers and policymakers aiming to enhance curriculum development in Indonesia.

Mapping the Landscape of Physics Education Research on Local Wisdom: A Bibliometric Study Hanan Zaki Alhusni; Binar Kurnia Prahani; Titin Sunarti; Arfiati Ulfa Utami; Joana Paula Gerabella da Costa Moniz; Bauyrzhan Yedilbayev; Akmaral Shokanova; Sandygul Akhmetkaliyeva
Journal of Law and Bibliometrics Studies Vol. 1 No. 1 (2025): April
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.1.44

Objective: This study aims to map the research landscape of physics education that integrates local wisdom. It identifies key trends, author collaborations, and thematic clusters in publications, providing insights for future research and curriculum development. Method: A bibliometric analysis approach was employed, collecting articles from Google Scholar using the Publish or Perish software, with a focus on publications from 2018 to 2024. The PRISMA protocol was followed for systematic data screening, resulting in 150 relevant articles. The metadata was analyzed using VOSviewer to generate visualizations of keyword networks, author collaborations, and research clusters. Results: The analysis revealed that "local wisdom" is a central theme connected to ethnoscience, Islamic physics, digital learning tools, and specific cultural contexts, such as Karapan Sapi. Four major research clusters were identified: cultural-based learning, religious integration, digital innovation, and contextual learning. The study also highlights the dominance of Indonesian researchers in this field and the growing interest in integrating local knowledge into physics education. Novelty: This study provides the first comprehensive bibliometric mapping of physics education research on local wisdom, offering an in-depth overview of trends, gaps, and collaborative networks. It emphasizes the role of indigenous knowledge in enhancing science literacy, sustainability education, and 21st-century skills in physics learning.

Artificial Intelligence in Physics Learning for Education for Sustainable Development: A Bibliometric Analysis Riski Ramadani; Hanan Zaki Alhusni; Titin Sunarti; Madlazim Madlazim
Journal of Law and Bibliometrics Studies Vol. 1 No. 3 (2025): December
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.3.95

Objective: This study aims to map the global research landscape on Artificial Intelligence (AI) in physics education within the framework of Education for Sustainable Development (ESD) using a bibliometric approach. The objective is to identify publication trends, key contributors, collaborative networks, and emerging themes that define the development of this research domain. Method: The analysis was based on 4,814 documents retrieved from the Scopus database for the period 2015–2025. Data preprocessing included deduplication and keyword harmonization. Bibliometric analysis was conducted using performance indicators (publication output, influential authors, journals, countries, institutions) and science mapping (co-authorship, co-occurrence, co-citation) with VOSviewer and Bibliometrix. Results: Findings reveal three phases of publication dynamics: initial emergence (2015–2018), growth (2019–2021), and accelerated expansion (2022–2024), with a peak in 2024. The United States dominates global output, followed by China and Indonesia. Physics-focused journals such as Physical Review Physics Education Research and Journal of Physics: Conference Series serve as major outlets. Co-authorship networks show a core cluster in Europe and North America, while Asian and Global South researchers are increasingly active. Thematic mapping highlights clusters on AI-enabled assessment, machine learning, Large Language Models (LLMs), and sustainability-oriented physics education. Novelty: This paper provides a systematic overview of the intellectual structure and thematic evolution of AI-based physics education for ESD. It identifies gaps, including limited cross-country collaboration, low experimental validation, and uneven global participation, while highlighting opportunities for ethical, inclusive, and sustainability-aligned AI integration in future physics learning.

Mapping the Global Research Landscape of Problem-Based Learning in Digital Learning Environments: A Bibliometric Analysis Toward Achieving SDG 4 Hanan Zaki Alhusni; Binar Kurnia Prahani; Budi Jatmiko; Riski Ramadani; Noer Risky Ramadhani; Lindsay Natalia Bergsma; Abd. Hadi Bunyamin
Journal of Law and Bibliometrics Studies Vol. 2 No. 2 (2026): August
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.2.2.137

Objective: The study aims to map the global research landscape of Problem-Based Learning (PBL) in Digital Learning Environments (DLE) using a bibliometric approach. The objective is to identify publication trends, major contributors, collaboration patterns, and emerging research themes supporting the development of sustainable digital education aligned with Sustainable Development Goal 4 (SDG 4). Method: The analysis was conducted on 2,134 documents retrieved from the Scopus database covering publications up to 2025. Data preprocessing involved duplicate removal, document filtering, and keyword harmonization. Bibliometric analysis employed performance indicators (annual publications, productive authors, sources, affiliations, and countries) and science mapping techniques (co-authorship, keyword co-occurrence, and citation analysis) using Bibliometrix and VOSviewer to visualize the intellectual structure of the field. Results: The findings reveal a substantial growth of research in this field, particularly following the global acceleration of digital education. China and the United States dominate research productivity, followed by emerging contributions from countries such as Indonesia. Publication sources are largely dominated by conference proceedings and journals in educational technology and computer science, highlighting the field's interdisciplinary nature. Novelty: This study provides a comprehensive mapping of the intellectual structure and thematic evolution of PBL research in Digital Learning Environments. It identifies research gaps, including limited international collaboration and the need for greater integration of emerging technologies such as artificial intelligence. The findings offer directions for future research to strengthen sustainable digital learning innovation and support the achievement of SDG 4.

Mapping Students' Science Literacy Skills Using Local Wisdom-Based Physics Instruments Hanan Zaki Alhusni; Binar Kurnia Prahani; Titin Sunarti; Madlazim Madlazim; Muhammed Akif Kurtuluş
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.17680

This study addresses Indonesian students’ low scientific literacy (PISA 2022) by developing and validating a Tari Boranan Lamongan–contextualized physics assessment instrument on rigid body equilibrium. Existing PISA-aligned tests are rarely embedded in local culture. At the same time, local wisdom materials often do not measure all eight PISA scientific literacy indicators, creating a gap for culturally resonant yet comprehensive diagnostic tools. This study aimed to (1) develop and validate an eight-indicator, PISA-aligned scientific literacy instrument, (2) map Grade XI students’ literacy profiles across the eight indicators, and (3) explore how the Boranan context shapes students’ engagement and reasoning. Using a mixed-method embedded design, 73 Grade XI students in Lamongan Regency completed eight essay-based literacy tasks, and ten students participated in semi-structured interviews. Expert validation indicated high content relevance, cultural authenticity, and indicator alignment, and reliability analysis yielded Cronbach’s alpha = 0.82. Results showed most students were in the very low and low categories, with relative strengths in interpreting data (45%) and explaining phenomena (38%), but pronounced weaknesses in designing investigations (28%), evaluating credibility of information (25%), and making evidence-based decisions (30%). Interviews confirmed that cultural context enhanced engagement and visualization but did not automatically support mathematical formalization. These findings suggest that the instrument can be used diagnostically to help teachers design targeted scaffolding for higher-order literacy skills, particularly in investigation design, credibility evaluation, and evidence-based decision-making, within culturally responsive physics learning.

Validity and Practicality of a Science Worksheet Integrating Boranan Dance to Train Scientific Literacy on Equilibrium Material Hanan Zaki Alhusni; Utama Alan Deta; Binar Kurnia Prahani; Titin Sunarti
International Journal of Research and Community Empowerment Vol. 4 No. 1 (2026): February 2026
Publisher : Mitra Edukasi dan Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58706/ijorce.v4n1.p1-13

Physics learning in schools can foster essential skills for the current era, one of which is scientific literacy. Scientific literacy involves examining phenomena in students’ everyday lives, which can be explored through local wisdom. However, there are still limited studies that integrate local wisdom into physics learning to develop students’ scientific literacy. Addressing this gap, the present study aims to develop a student worksheet (LKS) integrated with the local wisdom of the Boranan Lamongan dance to enhance students’ scientific literacy. This research describes the feasibility of the developed worksheet in terms of its validity and practicality. The study employed the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). The worksheet was tested on a limited scale in class XI science students at an Islamic Senior High School in East Java. The results show that the integration of local wisdom is feasible for use in physics learning to promote scientific literacy. The validity aspect achieved a PoA score of 84.13% (very valid), while the practicality aspect, assessed through learning implementation, obtained an average score of 96.04% (very practical). Overall, the findings indicate that the student worksheet integrating the Boranan Lamongan dance is feasible as a learning medium to foster students’ scientific literacy. Furthermore, this research contributes to the preservation of local culture by incorporating the Boranan dance into physics education.

The Effectiveness of Black's Principles with Modeling-based Learning (MbL) to Improve Students' Science Process Skills Firza Farahdiba Daeng; Dea Ramadhana Zsa Zsa Alifah; Budi Jatmiko; Zainul Arifin Imam Supardi; Hanan Zaki Alhusni; Nina Fajriyah Citra
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.v1i3.45185

Objective: This study aims to examine the effectiveness of the Modeling-based Learning (MbL) model in improving students’ science process skills (SPS) on the topic of Black’s Principle. SPS is essential for mastering STEM, yet remains relatively low among Indonesian students, as indicated by PISA and TIMSS results. Method: The research employed a quasi-experimental design using a pretest-posttest control group design. Two high school classes, each consisting of 30 students, participated in the study. The instruments used included an SPS test and questionnaires that measured skills such as observing, formulating hypotheses, conducting experiments, and interpreting and communicating data. Data analysis involved N-Gain calculations, normality tests, and paired t-tests to confirm statistical significance. Results: The findings revealed that the experimental class taught using the MbL model showed a significant improvement in SPS, with an average N-Gain score of 0.8 (high category). In contrast, the control class, which did not receive MbL-based instruction, only reached an average N-Gain score of 0.5 (medium category). Statistical tests confirmed the significance of these differences, demonstrating the positive impact of the MbL model on SPS development. Novelty: This study highlights the potential of the MbL approach as an innovative and effective teaching model to enhance science process skills at the secondary school level. By integrating modeling activities into learning, the MbL strategy provides students with deeper engagement and better mastery of scientific inquiry processes compared to traditional methods.

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