RELEVANCE OF IMPLEMENTING ARTIFICIAL INTELLIGENCE CAPABILITIES IN THE «BASED LEARNING» MODEL IN THE SYSTEM OF PROFESSIONAL TRAINING AND CONTINUOUS PROFESSIONAL EDUCATION OF DOCTORS

Artificial intelligence (AI) has untapped potential in the healthcare sector, and «based learning» models help in training healthcare professionals. The aim was to assess the impact of artificial intelligence and the team-based learning model as teaching methods on the performance indicators of students at Dnipro State Medical University. An analysis of the academic performance of 193 6th-year students who completed the «Internal Medicine» course at the clinical base of Dnipro State Medical University – State Institution Ukrainian State Research Institute of Medical and Social Problems of Disability of the Ministry of Health of Ukraine in the academic year 2023–2024 was performed. Artificial intelligence methods and «team-based learning» models were used in the classes. Statistical analysis, including the calculation of means (median and interquartile range Me (25 %; 75 %), the distribution type was determined by the Shapiro-Wilk criterion) and relative values with a 95 % confidence interval (95 % CI); the reliability of disagreements according to the Mann-Whitney criterion was assessed using the R Commander software. According to the results, the absolute academic performance among all students was 100 %. The qualitative success of applicants for higher medical education in the database was 82.9 % (95 % CI 70.5 % – 96.8 %), 82.2 % (95 % CI 66.7 % – 99.3 %) among Ukrainian-speaking students and 84.0 % (95 % CI 67.6 %). The capabilities of artificial intelligence were used in compiling tasks from the «Internal Medicine» cycle when preparing students for classes. Students at the department are good at learning to collaborate to solve a problem or start a project, have a positive attitude towards the use of AI in generating creative solutions, new ideas and visualization capabilities. In each team, participants bring a variety of complementary talents, knowledge and experience in problem solving. Thus, in the conditions of high level of competition among institutions of higher medical education, it is very important to provide future doctors with modern knowledge and teach them to work with the latest technologies.

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Publication Details

Journal
Dnipro Academy of Continuing Education Herald Series Philosophy Pedagogy
Published
2025-05-26
DOI
https://doi.org/10.54891/2786-7013-2025-1-14
Primary Topic
Engineering Education and Technology
Type
article
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article

RELEVANCE OF IMPLEMENTING ARTIFICIAL INTELLIGENCE CAPABILITIES IN THE «BASED LEARNING» MODEL IN THE SYSTEM OF PROFESSIONAL TRAINING AND CONTINUOUS PROFESSIONAL EDUCATION OF DOCTORS

Viktoriia Krotova, L.O. Krotova, О. О. Ханюков
Dnipro Academy of Continuing Education Herald Series Philosophy Pedagogy
Engineering Education and Technology
article

RELEVANCE OF IMPLEMENTING ARTIFICIAL INTELLIGENCE CAPABILITIES IN THE «BASED LEARNING» MODEL IN THE SYSTEM OF PROFESSIONAL TRAINING AND CONTINUOUS PROFESSIONAL EDUCATION OF DOCTORS

Viktoriia Krotova, L.O. Krotova, О. О. Ханюков
article en

Abstract

Artificial intelligence (AI) has untapped potential in the healthcare sector, and «based learning» models help in training healthcare professionals. The aim was to assess the impact of artificial intelligence and the team-based learning model as teaching methods on the performance indicators of students at Dnipro State Medical University. An analysis of the academic performance of 193 6th-year students who completed the «Internal Medicine» course at the clinical base of Dnipro State Medical University – State Institution Ukrainian State Research Institute of Medical and Social Problems of Disability of the Ministry of Health of Ukraine in the academic year 2023–2024 was performed. Artificial intelligence methods and «team-based learning» models were used in the classes. Statistical analysis, including the calculation of means (median and interquartile range Me (25 %; 75 %), the distribution type was determined by the Shapiro-Wilk criterion) and relative values with a 95 % confidence interval (95 % CI); the reliability of disagreements according to the Mann-Whitney criterion was assessed using the R Commander software. According to the results, the absolute academic performance among all students was 100 %. The qualitative success of applicants for higher medical education in the database was 82.9 % (95 % CI 70.5 % – 96.8 %), 82.2 % (95 % CI 66.7 % – 99.3 %) among Ukrainian-speaking students and 84.0 % (95 % CI 67.6 %). The capabilities of artificial intelligence were used in compiling tasks from the «Internal Medicine» cycle when preparing students for classes. Students at the department are good at learning to collaborate to solve a problem or start a project, have a positive attitude towards the use of AI in generating creative solutions, new ideas and visualization capabilities. In each team, participants bring a variety of complementary talents, knowledge and experience in problem solving. Thus, in the conditions of high level of competition among institutions of higher medical education, it is very important to provide future doctors with modern knowledge and teach them to work with the latest technologies.

Dnipro Academy of Continuing Education Herald Series Philosophy Pedagogy(Vol. 1 No. 1 (2025))
Openalex Percentile: Top 83%
Engineering Education and Technology
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