Innovative approaches to the education system in higher education institutions and specialized sectoral establishments
Year: 2025
Type: article
Abstract: The modern development of the education system requires the implementation of innovative approaches that enable the adaptation of the learning process to the demands of a rapidly changing labor market. The article examines key directions for education modernization, including digital transformation, dual education, and blended learning, as well as their impact on the quality of specialist training. A SWOT analysis of the main approaches to implementing innovations in higher education was conducted, allowing for an assessment of their strengths and weaknesses, development opportunities, and potential threats. The study explores international experiences in implementing innovative teaching methods in the United States (USA), Germany, Finland, the United Kingdom (UK) and Singapore. The adaptation of digital technologies in educational processes, the development of public-private partnerships in the dual education system, and the use of blended learning models to improve learning efficiency were analyzed. The article outlines the implementation of personalized learning platforms utilizing artificial intelligence and Big Data to enhance the individualization of the educational process. Approaches to integrating the technologies of virtual and augmented realities into education to improve students’ practical training are proposed. Future research perspectives are defined, focusing on developing mechanisms for evaluating the effectiveness of digital education, improving dual education methodologies, and modeling public-private partnerships for skilled workforce training. The research findings can be used to develop strategic approaches to reforming the education system in Ukraine and creating conditions for training highly qualified specialists capable of effective integration into the modern economic environment.
Author: Anastasiya Ilyina
Institution: State University of Trade and Economics
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409073207