Analysis of artificial intelligence use by university teachers

Abstract

The article presents results of usage analysis of artificial intelligence (hereinafter referred to as AI) in the lecturers’ activity in institutes and universities. The main tasks facing teachers in developing and maintaining training courses are considered. The methodological part discusses the provisions of scientific publications concerning the use of AI in teaching as well as analyses the research results describing the possibilities of applying the technology by university lecturers. It is shown that modern AI models provide a wide range of opportunities to support teaching activities, ranging from automation of periodically performed tasks to the creation of unique educational content. As a result of the analysis of the sources, it is shown that AI can provide significant support to teachers in creating educational materials, assessing students’ knowledge, checking homework, testing and analysing their assignments. The authors have conducted a comparison of the most used GPT (generative pre-trained transformer) models to determine what can be obtained from them for teaching at university. The results are presented with a pilot survey of lecturers which was conducted at the end of 2024. According to the data obtained, teachers begin to use neural networks to fulfill their professional duties. It is revealed that most of them positively assess the application of AI for educational purposes, but face limitations, including technical and organisational barriers. It shows which types of work use GPT models most often. The lecturers’ wishes for advanced training in the field of AI application have been determined.