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Problem Based Learning in Digital and Virtual Science Learning Environments Ridka Pratiwi, Safina; Dwikoranto, Dwikoranto; Khansa, Indri Hapsari; Bergsma, Lindsay Natalia
Journal of Law and Bibliometrics Studies Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.2.1.135

Abstract

Objective: This study aims to analyze research trends in Problem-Based Learning (PBL) in digital and virtual science learning environments during the period 2015–2025. The analysis focuses on identifying dominant research themes, mapping the structure of the research field, and examining the evolution of research on the integration of digital technologies in science learning. Method: This study employed a bibliometric analysis of publications indexed in the Scopus database. The article selection process followed the PRISMA guidelines, yielding 101 documents for analysis. The study examined keyword co-occurrence, citation patterns, and thematic structures. Network, overlay, and density visualizations were conducted using VOSviewer to explore relationships between keywords and the temporal development of research topics. Results: The findings indicate that research on PBL in digital and virtual science learning is structured around core themes such as problem-based learning, students, e-learning, and virtual reality, which show strong interconnections. The temporal analysis reveals a shift from general educational contexts toward the integration of digital and immersive technologies, including virtual reality, augmented reality, and artificial intelligence. In addition, density and citation analyses highlight the central role of digital technology in shaping contemporary PBL research. In contrast, emerging topics such as machine learning and digital twins remain less explored. Novelty: This study provides a comprehensive bibliometric mapping of the convergence between PBL and digital–virtual technologies in science learning, revealing a conceptual shift toward intelligent and immersive learning environments and identifying emerging research opportunities.
Transforming Mechanics Education through Innovative Digital Problem-Based Learning: A Bibliometric Analysis Pratiwi, Safina Ridka; Koranto, Dwi; Lintangesukmanjaya, Rahmatta Thoriq; Sukarni, Sukarni; Khansa, Indri Hapsari; Bergsma, Lindsay Natalia
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.v14i2.19648

Abstract

The digital transformation in education has driven increased attention to the application of problem-based learning (PBL) in technology-based mechanics learning. However, thematic developments, knowledge structures, and research directions in this field have not been systematically mapped. This study aims to analyze publication trends, knowledge network structures, and the development of research topics related to PBL in digital mechanics learning using a bibliometric approach. The research data consists of 189 documents indexed in the Scopus database for the period 2015–2025. Analysis of publication trends, geographic distribution, and relationships between keywords was conducted using VOSviewer software. The analysis results show an increase in the number of publications over the past decade, with contributions concentrated in several countries. Keyword mapping shows the relationship between PBL and topics such as e-learning, game-based learning, and terms related to computing technology such as machine learning and deep learning. Furthermore, temporal visualizations indicate changes in the trend of term usage over time. However, these findings are descriptive and reflect patterns in the analyzed literature, and therefore do not directly indicate a causal relationship or the level of conceptual integration between PBL and digital technology.  This research provides a contribution in the form of bibliometric mapping which can be the basis for further research to examine the implementation and integration of PBL in digital-based mechanics learning in more depth.
Problem Based Learning in Digital and Virtual Science Learning Environments Ridka Pratiwi, Safina; Dwikoranto, Dwikoranto; Khansa, Indri Hapsari; Bergsma, Lindsay Natalia
Journal of Law and Bibliometrics Studies Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.2.1.135

Abstract

Objective: This study aims to analyze research trends in Problem-Based Learning (PBL) in digital and virtual science learning environments during the period 2015–2025. The analysis focuses on identifying dominant research themes, mapping the structure of the research field, and examining the evolution of research on the integration of digital technologies in science learning. Method: This study employed a bibliometric analysis of publications indexed in the Scopus database. The article selection process followed the PRISMA guidelines, yielding 101 documents for analysis. The study examined keyword co-occurrence, citation patterns, and thematic structures. Network, overlay, and density visualizations were conducted using VOSviewer to explore relationships between keywords and the temporal development of research topics. Results: The findings indicate that research on PBL in digital and virtual science learning is structured around core themes such as problem-based learning, students, e-learning, and virtual reality, which show strong interconnections. The temporal analysis reveals a shift from general educational contexts toward the integration of digital and immersive technologies, including virtual reality, augmented reality, and artificial intelligence. In addition, density and citation analyses highlight the central role of digital technology in shaping contemporary PBL research. In contrast, emerging topics such as machine learning and digital twins remain less explored. Novelty: This study provides a comprehensive bibliometric mapping of the convergence between PBL and digital–virtual technologies in science learning, revealing a conceptual shift toward intelligent and immersive learning environments and identifying emerging research opportunities.