# Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research

**Authors:** Arvind Nain, N.S Bohra, Archana Singh, Rekha Verma, Rakesh Kumar, Rajesh Kumar, Musa Adekunle Ayanwale, Amar Johri

PMC · DOI: 10.12688/f1000research.160297.1 · F1000Research · 2025-02-13

## TL;DR

This study maps the growth of AI and teacher collaboration in education research using bibliometric analysis, showing rising interest and key themes.

## Contribution

A systematic bibliometric analysis of AI and teacher collaboration in educational research, identifying trends and gaps.

## Key findings

- The field shows steady growth, especially in the last few years, with the USA, China, and India as key contributors.
- Education and information technology are the main disciplines driving research in this area.
- The study highlights gaps in the literature and suggests future research directions for strategic development.

## Abstract

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.

A total of 62 publications were looked at through a systematic review that included data mining, analytics, and bibliometric methods.

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 is used in this study to find publication trends, important papers, major themes, and keywords. It also looks at target concepts and futuristic themes.

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.

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382)

## Full text

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## Figures

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## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC12082066/full.md

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Source: https://tomesphere.com/paper/PMC12082066