Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research [version 2; peer review: 2 approved]
Background This study intends to investigate the relationship between artificial intelligence and teachers’ collaboration in educational research in response to the growing use of technologies and the current status of the field. Methods A total of 62 publications were looked at through a systematic...
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F1000 Research Ltd
2025-05-01
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| author | Rajesh Kumar Rakesh Kumar Rekha Verma Archana Singh N.S Bohra Arvind Nain |
| author_facet | Rajesh Kumar Rakesh Kumar Rekha Verma Archana Singh N.S Bohra Arvind Nain |
| author_sort | Rajesh Kumar |
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| description | Background This study intends to investigate the relationship between artificial intelligence and teachers’ collaboration in educational research in response to the growing use of technologies and the current status of the field. Methods A total of 62 publications were looked at through a systematic review that included data mining, analytics, and bibliometric methods. Result The study shows a steady increase in the field of artificial intelligence and teacher collaboration in educational research, especially in the last few years with the involvement of the USA, China, and India. Education and information technology are the main contributors to this field of study, followed by an international review of open and distance learning research. The Scopus database was chosen for this study because of its extensive coverage of high-quality, peer-reviewed literature and robust indexing system, making it a dependable source for conducting bibliometric analyses. Scopus offers substantial information, citations tracking, and multidisciplinary coverage, which are critical for spotting publication trends, significant articles, major themes, and keywords in the area. The findings show that education and information technology make the most significant contributions to this sector, followed by international studies on open and distance learning. Conclusions Over a three-year period, the average citation value is 12.44%. The education system, learning, e-learning, sustainability, COVID-19 issues, team challenges, organizational conflicts, and digital transformation are just a few of the topics it significantly contributes to. The study acknowledges its limitations and considers potential avenues for additional research. The results also emphasize important gaps in the literature, highlighting the necessity for more research. This information can help develop strategic approaches to address issues and take advantage of opportunities relating to artificial intelligence and teacher collaboration in higher education and research. The study’s ultimate goal is to offer guidance for tactics that promote teachers’ cooperation in educational research and the development of artificial intelligence. |
| format | Article |
| id | doaj-art-2ff0dd12101d40c09933840e39e63f4a |
| institution | Kabale University |
| issn | 2046-1402 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj-art-2ff0dd12101d40c09933840e39e63f4a2025-08-20T03:52:48ZengF1000 Research LtdF1000Research2046-14022025-05-011410.12688/f1000research.160297.2180509Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research [version 2; peer review: 2 approved]Rajesh Kumar0Rakesh Kumar1https://orcid.org/0000-0002-8040-1976Rekha Verma2Archana Singh3N.S Bohra4Arvind Nain5https://orcid.org/0000-0002-9790-174XUttaranchal Institute of Management, Uttaranchal University, Dehradun, Uttarakhand, IndiaDepartment of management, Graphic Era Deemed to be University, Dehradun, Uttarakhand, IndiaDBS Global University, Dehradun, Uttarakhand, IndiaDepartment of management, Graphic Era Deemed to be University, Dehradun, Uttarakhand, IndiaDepartment of management, Graphic Era Deemed to be University, Dehradun, Uttarakhand, IndiaDepartment of management, Graphic Era Deemed to be University, Dehradun, Uttarakhand, IndiaBackground This study intends to investigate the relationship between artificial intelligence and teachers’ collaboration in educational research in response to the growing use of technologies and the current status of the field. Methods A total of 62 publications were looked at through a systematic review that included data mining, analytics, and bibliometric methods. Result The study shows a steady increase in the field of artificial intelligence and teacher collaboration in educational research, especially in the last few years with the involvement of the USA, China, and India. Education and information technology are the main contributors to this field of study, followed by an international review of open and distance learning research. The Scopus database was chosen for this study because of its extensive coverage of high-quality, peer-reviewed literature and robust indexing system, making it a dependable source for conducting bibliometric analyses. Scopus offers substantial information, citations tracking, and multidisciplinary coverage, which are critical for spotting publication trends, significant articles, major themes, and keywords in the area. The findings show that education and information technology make the most significant contributions to this sector, followed by international studies on open and distance learning. Conclusions Over a three-year period, the average citation value is 12.44%. The education system, learning, e-learning, sustainability, COVID-19 issues, team challenges, organizational conflicts, and digital transformation are just a few of the topics it significantly contributes to. The study acknowledges its limitations and considers potential avenues for additional research. The results also emphasize important gaps in the literature, highlighting the necessity for more research. This information can help develop strategic approaches to address issues and take advantage of opportunities relating to artificial intelligence and teacher collaboration in higher education and research. The study’s ultimate goal is to offer guidance for tactics that promote teachers’ cooperation in educational research and the development of artificial intelligence.https://f1000research.com/articles/14-201/v2Artificial Intelligence Teachers Teaching Education Bibliometric eng |
| spellingShingle | Rajesh Kumar Rakesh Kumar Rekha Verma Archana Singh N.S Bohra Arvind Nain Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research [version 2; peer review: 2 approved] F1000Research Artificial Intelligence Teachers Teaching Education Bibliometric eng |
| title | Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research [version 2; peer review: 2 approved] |
| title_full | Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research [version 2; peer review: 2 approved] |
| title_fullStr | Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research [version 2; peer review: 2 approved] |
| title_full_unstemmed | Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research [version 2; peer review: 2 approved] |
| title_short | Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research [version 2; peer review: 2 approved] |
| title_sort | mapping the landscape a bibliometric analysis of ai and teacher collaboration in educational research version 2 peer review 2 approved |
| topic | Artificial Intelligence Teachers Teaching Education Bibliometric eng |
| url | https://f1000research.com/articles/14-201/v2 |
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