Affiliation:
1. Lomonosov Moscow State University (Lomonosov MSU)
Abstract
Subject. The study investigates elements of business models of companies in the sphere of educational technologies.
Objectives. The purpose is to determine how artificial intelligence affects product innovation, business processes, efficiency, customer relationships, and strategic development in the context of business models.
Methods. The study draws on general scientific methods of cognition.
Results. Using the Likert scale questionnaire, we collected quantitative data from managers of companies operating in the sphere under consideration. The results show the significant impact of artificial intelligence on data processing, educational process effectiveness, content creation speed, and changing roles and competencies. The findings emphasize the role of artificial intelligence in educational process optimization, automation of administrative tasks, and predictive analytics for making informed decisions. However, the impact of this technology on revenue streams and scalability remains minimal. It is essential to develop artificial intelligence-based tools, given ethical aspects, data confidentiality, and compliance with educational standards.
Conclusions. The study provides insight into strategic changes in educational technologies due to the integration of artificial intelligence, and contributes to a broader discussion about the role of technologies in education.
Publisher
Publishing House Finance and Credit