EXPLORING LEARNING STYLES IN CHATGPT INTERACTION: AN ANALYSIS OF HOW AI-BASED LANGUAGE MODELS ADAPT TO DIFFERENT LEARNING PROFILES
Keywords:
chatgpt, education, learningAbstract
A documentary review was carried out on the production and publication of research papers related to the study of the variable CHATGPT, EDUCATION AND LEARNING. 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 149 publications. The information provided by this platform was organized through graphs and figures categorizing the information by Year of Publication, 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 States with 44 publications with the highest scientific production registered in the name of authors affiliated with institutions in that country. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of CHATGPT, EDUCATION AND LEARNING was Social Sciences with 91 published documents, and the Type of Publication most used during the period indicated above were Journal Articles with 60% of the total scientific production.