Innovative Methodologies and Approaches to Teaching with Artificial Intelligence in Ukrainian Higher Education

Abstract

The aim of the research was to evaluate innovative methodology and approaches to teaching with AI in Ukrainian higher education and to outline the effective delivery practices. The research objectives were to explain AI-based teaching approaches and methods used in the Ukrainian institutions of higher education, to find the most effective teaching approaches and methods in the system of training of future specialists, and to develop the methodological recommendations for instructors involved in the training of future AI experts. Within the framework of the given research, a number of pedagogical articles and key documents devoted to the analysis of used artificial intelligence in teaching, and implementation of AI-based methodology were studied . Over 50 scientific that were published during the recent five years to understand the problem and to evaluate the improvements brought by AI were selected. A mixed methodology that combined descriptive, association, and intervention methods was applied. Descriptive methods included literature review, narrative, content analysis of educational and professional programs, as well as the phenomenological approach. Associational methods included predictive analysis aimed at forecasting of the probability of innovative methodology and approaches that impact the AI education. The intervention suggested using a survey and an assessment. The research included 42 instructors of Ukrainian institutions of higher education that were involved in the training of future AI experts. They represented graduating departments that were responsible for the development of educational and professional program, formulated the training objectives, and designed the conceptual framework for the creation of innovative educational environment with the use of AI. The research resulted in the development of methodical recommendations on using teaching methods and approaches in AI-powered higher education. The recommendations can be suggested by instructors at higher education institutions that are involved specifically in training future AI experts . Also, the recommendations are applicable for scientific and pedagogical stuff working on digitalisation of educational process.