Indian Journal of Educational Technology Volume 6, Issue 2, July 2024 209 Research Article Quantitative Insights from Research on Artificial Intelligence for Digitally Empowered Teachers: A Bibliometric Analysis Desmin Davis1, Manoj Praveen G.2 & Abdul Gafoor K.3 1Research Scholar, Department of Education University of Calicut Email: srrosemaria14@gmail.com 2Associate Professor, Department of Education, University of Calicut 3Professor, Department of Education, University of Calicut Abstract To implement AI-enhanced pedagogy in Indian schools, educators must understand the importance of AI in education, stay updated on current research, know India’s position in this field, and identify what digitally empowered teachers need to become professionals in this area. Using bibliometric analysis, this study provides the insights needed to guide these educators. We can properly implement AI-enhanced pedagogy in schools only if digitally empowered teachers improve their awareness of artificial intelligence. As shapers of today’s students, their expertise is essential. In this study, the researchers conducted a Bibliometric analysis based on publications collected from the dimension database. The key term for the study was “artificial intelligence”. The researchers used a quantitative method, and the search strategy was limited to title and abstract only, the publication year was limited to 2014-2023, and the research field is limited to education to exclude research other than the field of education like robotics, machine learning, programming, etc. The research findings throw light on the need for international collaboration for digitally empowered teachers in India for their professional development in artificial intelligence. The recorded citation count of 443 for India suggests a discernible variance in global academic recognition when compared to the United States. This dissimilarity in citation metrics may signify disparities in research output, levels of international collaboration, or the overall impact of Indian research within the broader global academic community, thereby highlighting important considerations for further investigation and analysis. This investigation revealed quite a few interesting findings related to citation, co-citation, and bibliography. Keywords: Digitally Empowered Teachers, Bibliometric Analysis, Publication and Citation Trend, Co-Citation, Bibliographic Coupling Introduction With the emergence of technology, particularly artificial intelligence, we can reimagine the classrooms, replacing the four walls, blackboard, and constricted space with immersive virtual worlds. As the world around us is changing at an unprecedented pace, shouldn’t our learning spaces change the traditional education model to keep pace? (Chen et al., 2020) highlight the importance of artificial intelligence in education, especially in instruction, administration, and learning. Artificial intelligence will help in personalized learning and prepare learners and educators to face the challenges of educational technology (Hamal et al., 2022). (Xue & Wang, 2022) suggest that as there are many possibilities for artificial intelligence in education, it is necessary to create awareness among teachers in this field. The research possibilities on Indian Journal of Educational Technology Volume 6, Issue 2, July 2024 210 artificial intelligence will certainly create such an awareness among teachers (Hagger & Mcintyre, 2000). Here the researchers are trying to do this by bibliometric analysis. Bibliometric analysis, a crucial tool in research evaluation, involves quantitatively examining scholarly publications (Sethi et al., 2016). For Digitally empoweredteachers, navigating the vast sea of academic information is essential for staying current in their fields. Bibliometric analysis assists researchers in identifying influential publications, tracking research trends, and making informed decisions about resource allocation (Scientometrics Recent Advances, n.d.-b). The databases and visualization tools are used by educational researchers to give valid information regarding emerging research areas and trends to provide guidelines for Digitally empowered teachers to focus on academic efforts related to such areas. Digitally empoweredteachers can enhance their professional development and contribute their best to the educational field by using Bibliometric data. We can use VOSviewer as a powerful tool to extract research data files from various database types for Bibliometric analysis and visualization. Literature Review AI and Big Data Analytics research is expanding in five fields: Business, Engineering, Healthcare, Sustainable Operations, and Hospitality Tourism (Thayyib et al., 2023). As an emerging field of expertise, educational artificial intelligence has the potential to transform our learning experiences (Bates et al., 2020). Artificial intelligence can influence human performance (Yang et al., 2021). Hwang et al. (2022) studied the role of artificial intelligence in nursing and found its positive impact. Park and Kwon (2023) suggested that AI programs were effective in technology education. Garcia et al. (2024) highlight the need for integrating artificial intelligence in medical education. Through a bibliometric analysis, it was concluded that artificial intelligence can advance health education (Zapata et al., 2024). Singh et al. (2023), through a bibliometric pattern, say that artificial intelligence can help attain sustainable development goals. Nica et al. (2024) highlight the influence of fuzzy logic and AI in financial analysis, marked by a growth in research outputs and global collaborations. Fijačko et al. (2024) explain the capabilities of generative artificial intelligence in their bibliometric analysis. Rahman et al. (2024), in their bibliometric study, indicate a rising pattern of artificial intelligence in language learning. Ivanova et al. (2024) understand artificial intelligence as a transformative force. Looking at the research done on artificial intelligence, it is clear that it has a lot of impact on today’s society. The relevance of the current study lies in how to effectively raise awareness among digitally empowered teachers so that they can successfully incorporate this into Indian school education pedagogy. For this purpose, primarily they should be aware of the research updates in this field and should know where India lies in the area of this research. Need and Significance Of The Study Androshchuk (2022) suggests that bibliometric analysis helps teachers understand where to find relevant information and how to apply it in practice, allowing for the qualitative use of information and communication technologies in teaching Generation Z students. For digitally empowered teachers, it’s crucial to keep up with the latest education research. Bibliometric Indian Journal of Educational Technology Volume 6, Issue 2, July 2024 211 analysis helps them do this by using a systematic approach to figure out impactful academic articles (Donthu et al., 2021). By using tools for Bibliometric analysis, digitally empowered teachers can quickly find key publications, spot new trends, and make the most of scholarly resources (Kalantari et al., 2017). This not only makes their research easier but also helps them make smart choices, creating a culture of always learning and innovating in the classroom. A trend analysis of research in artificial intelligence (AI) within the field of pedagogy is essential to stay abreast of the rapidly evolving landscape of educational technology. Our teaching and learning methodologies can be improved by integrating artificial intelligence into pedagogical practices. Tracking trends allows educators, researchers, and policymakers to identify emerging patterns, innovative applications, and best practices in AI- driven educational tools. This analysis not only informs the development of more effective and personalized learning experiences but also facilitates the identification of potential challenges and ethical considerations associated with AI in education. By keeping pace with the evolving trends in AI pedagogy, stakeholders can make informed decisions, foster collaboration, and ultimately contribute to the enhancement of educational outcomes in the digital age. Objectives of the Study The main objective of the study is to answer the following research questions. y How can digitally empowered teachers use the latest publication and citation trends in educational research on artificial intelligence to enhance their professional outcomes? y Which authors in “artificial intelligence” are the most influential, according to co-citation analysis, and how can digitally empowered teachers benefit from this? y Which countries have gained the most citations for their research contributions in “artificial intelligence,” and how can digitally empowered teachers use insights from these leading nations? y Which journals have the most influence in publishing research on “artificial intelligence” in education, and how can digitally empowered teachers use these journals to stay informed and enhance their teaching practices? Method Here the researchers used the quantitative method as it involves the systematic measurement and analysis of scientific literature using numerical and statistical techniques. Bibliometric analysis relies on numerical data such as the number of publications, citations, and various metrics (e.g., h-index, impact factor). The method uses statistical tools and techniques to analyze patterns, trends, and relationships within the data. This includes co-citation analysis, citation analysis, and network analysis. Bibliometric analysis was done on “artificial intelligence” in the field of education Research design: Descriptive Bibliometric- This design focuses on summarizing and describing patterns within a specific set of publications. It includes analyzing publication trends, citation patterns, co-citation patterns and bibliographic coupling. Fig 1 explains the research design. Indian Journal of Educational Technology Volume 6, Issue 2, July 2024 216 Findings y There is a consistent upward trend in both the number of publications and citations related to Artificial Intelligence in the field of education from 2014 to 2023 y Leading authors in the field of Artificial Intelligence in Education are Gwo-jen Hwang (National Taiwan University of Science and Technology), Dragan Gasevic (Australia), Cynthia Breazeal (Massachusetts Institute of Technology), Haoran Xie (Hong Kong), and Simon J. Buckingham Shum (Australia). Authors from India do not find a place on this list. This suggests a need for international collaboration to enhance the professional development of digitally empowered teachers in the current scenario. y The observed citation count of 443 for India implies a relatively lower degree of global academic recognition compared to the United States. This difference in citation metrics may be indicative of variations in research output, international collaboration, or the impact of Indian research within the global academic community. y The prominence of “Computers and Education Artificial Intelligence” with the highest impact factor and the most citations underscores its significant influence in the field. Conclusion The application of Bibliometric analysis in the realm of artificial intelligence (AI) in pedagogy provides invaluable benefits for educators and researchers alike. Publications and citations related to Artificial Intelligence in education, spanning from 2014 to 2023, showed an ongoing upward trend, which underscores the growing significance of this field in the present educational landscape. This finding agrees with the study of Bozkurt et al. (2021) which suggests a rise in artificial intelligence studies in the field of education on themes like adaptive learning, personalization, AI in higher education, etc. The prevalent influence of non- Indian leading authors and the lower citation count for India in comparison to the United States highlight the need for international collaboration in shaping educational practices. Digitally empowered teachers should recognize the pivotal role played by influential journals like “Computers and Education Artificial Intelligence” to stay updated with the research trends. In the present landscape, a proactive approach to balancing awareness of impactful journals and fostering global collaborations emerges as a valuable strategy for digitally empowered teachers, enabling them to effectively enhance their professional development within the dynamic realm of AI in education. By understanding where India stands in AI research, teachers can identify specific areas where knowledge and resources are lacking. This can help them focus on those gaps and seek out the best international resources, tools, and research to integrate into their teaching practices. Digitally empowered teachers can study the successful AI-enhanced pedagogical practices of these leaders and adapt them to fit the Indian educational context, bringing proven methods into their classrooms. Knowing that India is behind can make teachers aware of the need to collaborate with international researchers and institutions. Teachers can use the analysis to design curricula that incorporate AI concepts, ensuring that students are learning current and relevant information. This can help prepare students for future careers in AI and technology, bridging the knowledge gap from the ground up. By using bibliometric analysis in these Indian Journal of Educational Technology Volume 6, Issue 2, July 2024 217 ways, Digitally empowered teachers in India can turn the current challenges into opportunities for growth and innovation, significantly enhancing the quality of education through AI. (Acknowledgement: We would like to express our gratitude to the University of Calicut, for providing us with the research facilities in preparing this article.) Reference Androshchuk, I., Banit, O., Shtepura, A., Rostoka, M., &Cherevychnyi, G. (2022). Modern Information and Educational Environment in the Context of the Theory of Generations. International Journal of Pedagogy, Innovation and New Technologies. https://doi. org/10.5604/01.3001.0016.2095. Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 17, 1-12. Chen, L., Chen, P., & Lin, Z. (2020). 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