Chatgpt: Natural Language Teaching And Learning Process Driven By Artificial Intelligence For Innovation In Communication And Creativity

Abstract

A documentary review was carried out on the production and publication of research papers related to the study of the variables CHATGPT, TEACHING, NATURAL LANGUAGE and ARTIFICIAL INTELLIGENCE. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the first semester of 2023, achieving the identification of 10 publications. The information provided by this platform was organized through graphs and figures categorizing the information by, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors towards the proposed theme is referenced through a qualitative analysis. Among the main findings made through this research, it is found that the United Kingdom with 2 publications with the highest scientific production registered in the name of authors affiliated with institutions of that nation. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to the study  of CHATGPT, TEACHING, NATURAL LANGUAGE and ARTIFICIAL INTELLIGENCE was Social Sciences  with 8 published documents, and the Type of Publication most used during the period indicated above were Journal Articles with 70% of the total scientific production.