AI-Driven Chatbot Applications in Language Learning Environments: A Bibliographic Review

Abstract

There is an abundance of intelligent teaching systems and language-learning support platforms as a result of the quick advances in artificial intelligence (AI), especially in the fields of machine learning and natural language processing (NLP). There has been a lot of interest in the potential for AI-driven chatbots, which include a range of sophisticated AI capabilities, to provide individualized and engaging language learning experiences. Conducting a bibliometric study of publications from 2004 to 2024 using the Scopus database is the aim of this research project in order to evaluate the current state of the art and emerging trends in AI applications inside chatbots. The three primary contributions of the study are as follows: (i) a comprehensive review of the literature on AI-based chatbot applications, with a focus on the leading countries, publications, and authors in the field; (ii) a theme analysis of chatbot deployment and application-related trends; and (iii) strategic recommendations for future directions in chatbot research. Researchers, teachers, tech developers, legislators, and other stakeholders interested in the application of AI chatbots in language learning environments will find great value in the study's findings.