Opportunities for using artificial intelligence in teaching first-year medical students

Abstract

Introduction. The introduction of innovative technologies into the educational process can modernise the higher education system and open up new opportunities for student learning. One of these technologies is artificial intelligence (AI), which is actively integrated into the teaching of multiple disciplines and necessary for the acquisition of many professional skills.

Purpose. The purpose of our research is to analyze the attitudes of first-year medical students towards AI and to assess the scope of AI in the study of Medical Biology.

Methodology. A comprehensive analysis of the use of various forms and methods of artificial intelligence was conducted, based on Office 365 Microsoft Teams software. A survey method was used, in which 150 first-year university students specializing in medicine, pediatrics and dentistry responded to the questions. To process the data obtained, the following methods of summarizing and processing the results of experimental studies were used: statistical, graphical and tabular.

Results & Discussion. A survey of these students showed that the majority of them, (around 80%), use a number of AI methods in their studies. Half of them stated that they believe this new technology will have a positive impact on their learning outcomes. Students believe that AI has the potential to become ubiquitous for every higher education student when preparing for class. The level of AI use depends mainly on the complexity of the topic, time constraints, amount of information and automation of routine tasks. In some cases, students use AI when the material is not presented sufficiently clearly, which is determined by the quality of their education. Popular AI tools among students included ChatGPT (90%), Grammarly (50%), Murf, Synthesia (30%), Midjourney (20%), Bing AI, Bard AI (15%) and Speechify (10%).

According to student questionnaires, in their 1st year, AI is most useful in natural sciences that require explanations and visualization, but less effective in humanities and ethics courses. An assessment of the scope of AI in the study of different topics within the discipline of Medical Biology (total 100%) was as follows: Cell division – 20%, Genetics – 30%, Molecular biology – 25%, Evolution – 15%, Ecology – 10%.

Conclusions. There are many benefits to incorporating AI into teaching methods for first-year students. Various AI algorithms for adapting educational material to the student’s level of knowledge stimulate the more active participation of students in the educational process, increase motivation and promote an interest in learning. Notwithstanding, the use of AI as a tool, it cannot replace the role of teacher altogether.

The universal competencies of a doctor can only be fully formed when students gain meaningful experience in activities that take place in the real world of human communication.