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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Innovative: Journal Of Social Science Research
Sembiring, Yanti Kumala
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Public Health Other

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Research Trends on the Use of Artificial Intelligence in Educational Environments in Southeast Asia on Scopus Database: A Bibliometric Analysis (2014-2024) Zafrullah, Zafrullah; Sembiring, Yanti Kumala; Ramadana, Nurfitri; Gunawan, Resky Nuralisa; Kusumawardhani, Khintan
Innovative: Journal Of Social Science Research Vol. 4 No. 5 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i5.15810

Abstract

This study aims to look at research trends in the Scopus Database regarding the use of AI in educational settings in Southeast Asia. By using keywords that have been determined and selected by the PRISMA method, researchers get 118 documents that are analyzed with the R Program and VOSviewer. From the analysis, it can be concluded that research on AI in Education in Southeast Asia in the Scopus database started from 2014 to 2024, with the peak contribution occurring in the last year. Singapore is the most productive country, followed by Nanyang Technological University (NTU) as the leading affiliate in publications in this field. The most prolific source came from the journal Sustainability (Switzerland), while Sayed Fayaz Ahmad from Pakistan was noted as the author with the most contributions and highest h-index. Paranjape et al. (2019) is the study with the highest citations. There are seven clusters formed, with keywords such as “Computer Aided Instruction”, “Chatbot”, “ChatGPT”, “Assessment”, and “Generative Artificial Intelligence” being recommendations for further research in the field of AI in education in Southeast Asia.
Mental Models in Chemistry Concept: A Systematic Review Uleng, Andi Tenri; Damsi, Muthmainnah; Sembiring, Yanti Kumala
Jurnal Penelitian Pendidikan IPA Vol 10 No 11 (2024): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i11.6353

Abstract

Mental models in chemistry concepts are defined as student’s comprehension of three levels of chemical representations, including macroscopic, submicroscopic, and symbolic levels. This study aims to identify, review, and evaluate research concerning mental models in chemistry concepts through specific research questions. The research method used is a systematic literature review (SLR) by analyzing relevant articles from Google Scholar, Eric, Scopus, and Crosscref, focusing on publications from the the past decade (2013–2023). A total of 52 articles were obtained from the analysis based on the inclusion and exclusion criteria. The findings indicate that most studies aim to understand students' mental model profiles related to chemistry concepts. High school students are predominantly involved as research samples. The most used data collection tool is diagnostic tests. Mental models are primarily studied in physical chemistry, particularly in chemical equilibrium, adopting various theories, especially the Sendur, Toprak, and Pekmez (2010) model. Factors influencing the formation of students' mental models include internal factors such as prior knowledge, experiences, attitudes, and motivations, and external factors such as the environment, incomplete textbooks, and inappropriate teaching strategies.
The Implementation of Technology in School Learning Over the Last 50 Years: A Bibliometric Analysis of the Scopus Database Istiawanto, Yoel; Hamdi, Syukrul; Zafrullah, Zafrullah; Sembiring, Yanti Kumala
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8650

Abstract

This research aims to analyze research trends in the field of technology use in the school environment. Using predetermined keywords, researchers selected documents using the PRISMA method and obtained 599 final documents which were analyzed using the R Program Biblioshiny, Publish or Perish 8, and VOSviewer to map trends in research results with bibliometric analysis. From this analysis it can be concluded that research on the use of technology in the school environment began in 1974 until 2024 with peak publications in 2023 and peak citations in 2018. The United States is the most productive country in the field of most productive countries. Nanyang Technological University is the most productive affiliate, recording the highest number of publications. Journal Q1 "Computers and Education" is the most productive journal with the highest h-index. Hyuksoo Kwon from the Republic of Korea is the writer with the highest h-index. The publication with the highest citations. There are 11 keyword clusters, with the keywords "Artificial Intelligence", “Programming”, “Digitization”, “Online Learning”, “Augmented Reality”, and “Cloud Computing” being the next recommended keywords if you want to do research in the field of use technology in the school environment.
Co-Authors Damsi, Muthmainnah Gunawan, Resky Nuralisa Istiawanto, Yoel Kusumawardhani, Khintan Ramadana, Nurfitri Syukrul Hamdi Uleng, Andi Tenri Zafrullah, Zafrullah