Navigating The Digital Shift: A Bibliometric Analysis of Chatbot Applications in Education

In the ever-changing scenario of a technology-driven learning atmosphere, chatbots occupy a considerable role, taking up tasks in personalised learning and administrative support. This study uses a widespread bibliometric analysis of chatbots for educational purposes, engaging essential bibliographic data from Scopus and using the PRISMA flowchart approach for painstaking screening, exclusion and inclusion of studies in this field. Bibliometric tools like CiteSpace, VOSviewer, and Biblioshiny are utilised for this study to provide a multi-dimensional outlook on the effects and development of this field. The major findings of this study include an analysis of yearly scientific production about educational chatbots, identifying the most productive authors and synthesis of the most relevant sources and major cited documents globally. By analysing the influence of co-citation of cited authors and timezone views of cited journals, this study goes deep into the particulars of academic collaborations. This study analyzes the co-occurrence of keywords and those with the highest citation bursts to comprehend the intellectual structure of the topic’s research field, giving an outlook into the focus areas and evolving trends. This study also undertakes to find practical implications and relevant research gaps. These insights identify the features of chatbot research and suggest future directions in practical application and scholarly inquiry. For effective incorporation and evolution of chatbots in the educational scenario, academicians, technologists, and educators can use this bibliometric analysis as an essential resource.