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Journal : Nusantara: Jurnal Pendidikan Indonesia

Local Wisdom-based Computational Thinking Diagnostic Test: A Bibliometric Analysis Mapping State-of-the-Art and Research Gaps Reny Refitaningsih Peby Ria; Dyah Susilowati
Nusantara: Jurnal Pendidikan Indonesia Vol. 3 No. 3 (2023)
Publisher : Lembaga Sosial Rumah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/njpi.2023.v3i3-2

Abstract

This research aims to prove the novelty of research related to the implementation of diagnostic tests to improve computational thinking skills based on local wisdom using bibliometric analysis. This type of research uses qualitative descriptive research. The data collection technique uses secondary data in the form of literature from the Google Scholar database. Data analysis uses bibliometric analysis with the help of VOSviewer software. The results of this study indicate that the topics of Computational Thinking, Diagnostic Test, and Local Wisdom have not been found research with these topics, so there are opportunities for research by collaborating topics.
Bibliometric Analysis of Artificial Intelligent Studies in Education and Pedagogy Susilowati, Dyah; Saputri, Dian Syafitri Chani; Ria, Reny Refitaningsih Peby; Hidjah, Khasnur
Nusantara: Jurnal Pendidikan Indonesia Vol. 4 No. 3 (2024)
Publisher : Lembaga Sosial Rumah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/njpi.2024.v4i3-1

Abstract

Purpose – Artificial Intelligent (AI) is a technology that is currently developing rapidly. The application of AI in Education (AIEd) is a study that is starting to be of interest to researchers in the field of AI and Education. The purpose of this research is to summarize studies on AIEd from 2018 to 2023 through bibliometric analysis and analyze current study progress, key points, and trends in AIEd related to pedagogy.Method – This research is a bibliometric analysis method. The data were collected from the Scopus database using R Studio software with search keywords of “Artificial Intelligence, Education, and Pedagogy”. A total of 94 articles were reviewed in this study.Findings – The results of the study show that combining the more frequently researched AI and Pedagogy topics with the less researched AIED topics can produce innovative updates and make important contributions in the field of artificial intelligence and education. Research Implications – The impact of this research can open opportunities for researchers to further explore the combination of AIED, AI, and pedagogy topics so as to enrich and expand the scope of research and encourage progress in related disciplines.