MAPPING ARTIFICIAL INTELLIGENCE ACROSS DISCIPLINES: INSIGHTS FOR APPLICATION IN EDUCATION

Artificial Intelligence in Education (AIEd) has gained attention in the last years. The application of AI in education has demonstrated benefits for both teachers and students as learning processes can be stimulated. As AI evolves rapidly, there is a need to investigate quantitively and qualitatively what the gains are that may be interesting for the field of education. The  purpose of this study is to conduct a mapping exercise in order to identify the advantages of AI and make recommendations for education. In this research, N=159 articles from Scopus and N=97 articles from Web of Science databases were preliminary selected as sources for this study. Internal and external criteria was applied to make a final selection of the articles (N=74) from different disciplines such as health, engineering, electronics, mathematics, etc. Mapping indicators included among others, impact factor, research methods, disciplines, among others. Results indicated that most of the articles refer to studies from institutions all over around the world in a broad variety of fields, being ChatGPT a common chatbox used. Research focused mainly on qualitative and descriptive methods.  Reasons for this may be that the AIEd, and more specifically, ChatGPT, are newly AI tools that still need further application and exploration with quantitative methods to be able to provide results. Most of the articles mentioned the need for further exploration and adjustments in current AI practices. Conclusions from this study indicate that the integration of AI technologies, such as ChatGPT, in educational settings may positively impact student engagement and learning outcomes. The use of AI-based tools for assessment and feedback in education may lead to more personalized and effective interventions to address individual student needs.