cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Misbah
Contact Email
misbah_pfis@ulm.ac.id
Phone
+628975586104
Journal Mail Official
-
Editorial Address
Brigjen H. Hasan Basry Street, Mail Box 87 Building of Physics Education Study Program, Mathematics and Science Education, Faculty of Teacher Training and Education, Universitas Lambung Mangkurat, Banjarmasin 70123
Location
Kota banjarmasin,
Kalimantan selatan
INDONESIA
Jurnal Ilmiah Pendidikan Fisika
Published by Universitas Lambung Mangkurat
ISSN : 25499955     EISSN : 25499963     DOI : http://dx.doi.org/10.20527
Core Subject : Science, Education,
Education Physics
Jurnal Ilmiah Pendidikan Fisika publishes articles from research in the field of physics education, which have not been published elsewhere. This Jurnal Ilmiah Pendidikan Fisika is periodically published by the Physics Education Study Program, Mathematics and Science Education, Faculty of Teacher Training and Education, Universitas Lambung Mangkurat in collaboration with Physical Society of Indonesia (PSI) published three times a year in February, June, and October. Jurnal Ilmiah Pendidikan Fisika publishes articles about the results of research in the field of physics education including: Learning models , Learning methods, Learning media , Assessment, Teaching materials Curriculum
Arjuna Subject : -
Articles 331 Documents
 30   31   32   33   34 
Mapping the Convergence of Scientific Literacy and Digital Pedagogy: A Bibliometric Analysis of AI-Based Learning in Physics and STEM Iffah Hamidah; Firmanul Catur Wibowo; Muhammad Abd Hadi bin Bunyamin; Esmar Budi
Jurnal Ilmiah Pendidikan Fisika Vol 10, No 3 (2026): OCTOBER 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v10i3.18441

Abstract

Digital transformation has reshaped education, with the integration of Artificial Intelligence (AI) into Science, Technology, Engineering, and Mathematics (STEM) education emerging as a major research frontier. This study presents a bibliometric analysis of the convergence between scientific literacy and digital pedagogy in AI-driven physics and STEM education research. The study was designed to: (1) analyze publication trends and the evolution of research topics; (2) map the intellectual structure of scientific knowledge related to scientific literacy in digital learning; (3) identify collaboration patterns among authors, institutions, and countries; and (4) formulate future research agendas for strengthening scientific literacy in AI-based education. A quantitative bibliometric approach was employed to analyze 425 scientific publications indexed in the Scopus database between 2013 and 2025, representing 158 publication sources. Data were analyzed using the Bibliometric package in RStudio, employing publication and citation trend analysis, keyword co-occurrence, thematic evolution, and collaboration network analysis. The results show a substantial increase in research productivity, with publications rising sharply after 2018 and reaching nearly 180 publications in 2024. The analysis identifies artificial intelligence, scientific literacy, digital learning, and STEM education as the dominant research themes, while highlighting the most productive countries, institutions, and international collaboration networks. The findings also reveal a shift from technology-oriented studies toward AI-supported pedagogical innovation that promotes scientific literacy and 21st-century competencies. The novelty of this study lies in integrating publication trends, thematic evolution, intellectual structure, and collaboration patterns to provide a comprehensive overview of AI-driven physics and STEM education research. These findings offer strategic insights for researchers, educators, and policymakers in identifying future research priorities, strengthening international collaboration, and developing evidence-based educational policies that foster scientific literacy in the era of AI and digital transformation.

Page 34 of 34 | Total Record : 331

 30   31   32   33   34 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol 10, No 3 (2026): OCTOBER 2026 Vol 10, No 2 (2026): JUNE 2026 Vol 10, No 1 (2026): MARCH 2026 Vol 9, No 3 (2025): OCTOBER 2025 Vol 9, No 2 (2025): JUNE 2025 Vol 9, No 1 (2025) Vol 8, No 1 (2024): FEBRUARY 2024 Vol 8, No 3 (2024) Vol 8, No 2 (2024) Vol 8, No 1 (2024) Vol 7, No 3 (2023): OCTOBER 2023 Vol 7, No 2 (2023): JUNE 2023 Vol 7, No 3 (2023) Vol 7, No 2 (2023) Vol 7, No 1 (2023) Vol 6, No 3 (2022): OCTOBER 2022 Vol 6, No 1 (2022): FEBRUARY 2022 Vol 6, No 3 (2022) Vol 6, No 2 (2022) Vol 6, No 1 (2022) Vol 5, No 3 (2021): OCTOBER 2021 Vol 5, No 1 (2021): FEBRUARY 2021 Vol 5, No 3 (2021) Vol 5, No 2 (2021) Vol 5, No 1 (2021) Vol 4, No 3 (2020): OKTOBER 2020 Vol 4, No 2 (2020): JUNI 2020 Vol 4, No 1 (2020): FEBRUARI 2020 Vol 3, No 3 (2019): OKTOBER 2019 Vol 3, No 2 (2019): JUNI 2019 Vol 3, No 1 (2019): FEBRUARI 2019 Vol 2, No 3 (2018): OKTOBER 2018 Vol 2, No 2 (2018): JUNI 2018 Vol 2, No 1 (2018): FEBRUARI 2018 Vol 1, No 3 (2017): OKTOBER 2017 Vol 1, No 2 (2017): JUNI 2017 Vol 1, No 1 (2017): FEBRUARI 2017 More Issue