Zainuddin Zainuddin
Universitas Lambung Mangkurat, Indonesia

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Mapping a Decade of Research on Artificial Intelligence and Augmented Reality in Physics Education: A Bibliometric Analysis (2016–2025) Zainuddin Zainuddin; Misbah Misbah; Mastuang Mastuang; Qamariah Qamariah; Mohd Zaidi Bin Amiruddin; Nor Farahwahidah Abdul Rahman
Online Learning In Educational Research (OLER) Vol. 5 No. 2 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i2.901

Abstract

This study presents a Scopus-based bibliometric mapping of a decade of research on Artificial Intelligence (AI) and Augmented Reality (AR) in physics education, spanning the period from 2016 to 2025. The dataset was retrieved from Scopus on August 2, 2025, and, following PRISMA-style screening and filtering, comprised 1,038 English-language journal articles at the final publication stage. Bibliometric analyses were conducted using Bibliometrix (Biblioshiny), VOSviewer, and Microsoft Excel to examine publication growth, leading sources and authors, geographic and institutional contributions, collaboration patterns, and conceptual structures through keyword co-occurrence, thematic mapping, and thematic evolution. The results indicate accelerated publication growth after 2019 and an interdisciplinary dissemination pattern across education- and technology-facing outlets. Conceptual mapping suggests that AI-related themes (e.g., adaptive and data-informed learning support) and AR-related themes (e.g., interactive visualization and representational learning) constitute the dominant pillars of the field, while physics-education-specific learning mechanisms (e.g., conceptual change, multi-representational reasoning, and inquiry/laboratory enactment) are unevenly foregrounded across clusters. Because this is a bibliometric study, the findings provide a structured overview of research patterns and thematic orientations rather than causal evidence of learning effectiveness, thereby informing future empirical and design-based studies that connect AI/AR developments to physics-education-specific learning mechanisms and implementation contexts.
Physics science literacy profile using local wisdom-based instrument and profile of Pancasila students in particle dynamic Dewi Dewantara; Ismi Fajariah; Zainuddin Zainuddin; Sri Hartini
Momentum: Physics Education Journal Vol. 9 No. 1 (2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mpej.v9i1.10682

Abstract

The science literacy profile of students in Banjarmasin City has not been fully identified. Therefore, the purpose of this study is to analyse the physics science literacy profile using local wisdom-based instruments and the Pancasila learner profile of high school students in Banjarmasin City. This type of research is quantitative research with purposive sampling technique with a total of 106 students in three high schools in Banjarmasin City. Data were obtained through surveys and analysed descriptively using the Rasch model in the Winstep application. Based on the research, it was found that the science literacy of high school students in Banjarmasin City was categorised as sufficient due to low interest in reading, low analytical skills of students, low knowledge of educators about science literacy, and the lack of evaluation tools that develop science. So it is concluded that the profile of high school physics science literacy in Banjarmasin City is categorised as sufficient.