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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| Format: | Article |
| Language: | English |
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Universitas Negeri Jakarta
2025-05-01
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| Series: | Jurnal Pensil |
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| Online Access: | https://journal.unj.ac.id/unj/index.php/jpensil/article/view/54083 |
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| author | Hanifah Indah Rahmawati Zenita Sabitri Mutiara Nabila Azmi Danny Meirawan |
| author_facet | Hanifah Indah Rahmawati Zenita Sabitri Mutiara Nabila Azmi Danny Meirawan |
| author_sort | Hanifah Indah Rahmawati |
| collection | DOAJ |
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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 of 44.22% and an average of 11.88 citations per document. The analysis maps five key clusters: AI-based adaptive learning, automated assessment systems, predictive learning analytics, intelligent pedagogical agents, and personalized learning content. Dominant contributions are observed from countries such as the United States, China, and India, supported by substantial international collaboration. The findings also highlight dominant keywords like "Artificial Intelligence" and "Education Technology," reflecting a global research focus. While emphasizing AI's strategic potential in transforming education systems, this study critically underscores ethical and data privacy challenges that require further attention in advancing educational technology.
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| format | Article |
| id | doaj-art-ddbdb696d74b401eba82a3ec0dfa3cf6 |
| institution | DOAJ |
| issn | 2301-8437 2623-1085 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Universitas Negeri Jakarta |
| record_format | Article |
| series | Jurnal Pensil |
| spelling | doaj-art-ddbdb696d74b401eba82a3ec0dfa3cf62025-08-20T03:21:34ZengUniversitas Negeri JakartaJurnal Pensil2301-84372623-10852025-05-0114210.21009/jpensil.v14i2.54083EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATIONHanifah Indah Rahmawati0Zenita Sabitri1Mutiara Nabila Azmi2Danny Meirawan3Building Engineering Education, Faculty of Technology and Industrial Education, Indonesia University of EducationBuilding Engineering Education, Faculty of Technology and Industrial Education, Indonesia University of EducationBuilding Engineering Education, Faculty of Technology and Industrial Education, Indonesia University of EducationBuilding Engineering Education, Faculty of Technology and Industrial Education, Indonesia University of 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 of 44.22% and an average of 11.88 citations per document. The analysis maps five key clusters: AI-based adaptive learning, automated assessment systems, predictive learning analytics, intelligent pedagogical agents, and personalized learning content. Dominant contributions are observed from countries such as the United States, China, and India, supported by substantial international collaboration. The findings also highlight dominant keywords like "Artificial Intelligence" and "Education Technology," reflecting a global research focus. While emphasizing AI's strategic potential in transforming education systems, this study critically underscores ethical and data privacy challenges that require further attention in advancing educational technology. https://journal.unj.ac.id/unj/index.php/jpensil/article/view/54083Artificial IntelligenceBibliometricsBiblioshinyEducationResearch Trends |
| spellingShingle | Hanifah Indah Rahmawati Zenita Sabitri Mutiara Nabila Azmi Danny Meirawan EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION Jurnal Pensil Artificial Intelligence Bibliometrics Biblioshiny Education Research Trends |
| title | EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION |
| title_full | EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION |
| title_fullStr | EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION |
| title_full_unstemmed | EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION |
| title_short | EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION |
| title_sort | exploring biblioshiny for mapping artificial intelligence research in education |
| topic | Artificial Intelligence Bibliometrics Biblioshiny Education Research Trends |
| url | https://journal.unj.ac.id/unj/index.php/jpensil/article/view/54083 |
| work_keys_str_mv | AT hanifahindahrahmawati exploringbiblioshinyformappingartificialintelligenceresearchineducation AT zenitasabitri exploringbiblioshinyformappingartificialintelligenceresearchineducation AT mutiaranabilaazmi exploringbiblioshinyformappingartificialintelligenceresearchineducation AT dannymeirawan exploringbiblioshinyformappingartificialintelligenceresearchineducation |