EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION

EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION

This study critically analyzes the development of artificial intelligence (AI) research in education using a bibliometric approach, leveraging data from 191 Scopus-indexed documents during the 2015-2024 period. Employing Biblioshiny software, the study identifies an annual publication growth rate o...

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Bibliographic Details
Main Authors: Hanifah Indah Rahmawati, Zenita Sabitri, Mutiara Nabila Azmi, Danny Meirawan
Format: Article
Language:English
Published: Universitas Negeri Jakarta 2025-05-01
Series:Jurnal Pensil
Subjects:
Artificial Intelligence
Bibliometrics
Biblioshiny
Education
Research Trends
Online Access:https://journal.unj.ac.id/unj/index.php/jpensil/article/view/54083
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