Analysis of the Application of Artificial Intelligence in Technical and Technological Training in University Education

Abstract

Objective: In this article, the aim is to explore in detail how AI is specifically applied to technical and technological education within universities.   Methods: This study on the application of artificial intelligence (AI) in technical and technological university education combines a review of academic literature with the analysis of relevant case studies. The methodological approach used to conduct this research, as well as the main findings and limitations of the study, are detailed below. Data were collected from various sources, including academic documents and databases such as PubMed and Google Scholar. After a careful selection of relevant articles, a qualitative analysis was conducted to identify patterns and trends in the application of AI. The results reveal a growing use of AI in personalized learning and automated assessment, but also highlight ethical and technical challenges. Study limitations include potential biases in data selection and variability in the availability of information.   Result: To study the impact of virtual reality on the teaching of social sciences in basic education, an analysis was conducted using a documentary matrix. Around fifteen scientific articles were selected from recognized academic databases. The aim was to explore various aspects of virtual reality application in education. Each article was reviewed to extract data on study objectives, methodologies, results, and conclusions. This systematic and careful review ensured the quality and reliability of the information. The literature review matrix facilitated a structured understanding of the benefits and challenges of integrating virtual reality into social studies teaching in basic education.