The COVID-19 pandemic has become a challenge and shock for the whole world. The way of life in various industries has changed. Adjustments are required to companies' business models for recovery and normal operation. During the pandemic, the construction industry also faced many challenges. Research objective. Develop an algorithm for improving the business models of construction companies, taking into account changes in consumer preferences in connection with the spread of COVID-19. Materials and methods. Methods of systems analysis, optimization methods and decision-making theory were applied in the work. The template for the formation of a business model was selected based on the analysis of existing research in this area. Results. It was revealed that in the current conditions, the management of construction companies require special attention from personnel, finances, and supply chains. The paper proposes an algorithm for improving the company's business model, which includes the following main stages: 1. Determine the conditions and ways of creating value. In this case, changes in consumer needs due to the pandemic are taken into account. 2. Identify target segments of consumers by implementing a classification based on several criteria. Consider the possibility of combining (consolidating) target segments in relation to the similarity of requirements. 3. Build a business model in general terms, reflecting the following aspects: target customer, offer, resources, income generation. 4. Detail the business model by filling in the Alexander Osterwalder template. 5. Make the appropriate conclusions. Conclusion. The developed algorithm is applied on the example of construction companies implementing projects in the field of housing construction. Needs vary and change due to the pandemic. The formation of the company's value proposition now must be aimed at meeting the changed needs. In particular, it was found that consumers are currently focused on buying houses, pay more attention to safety, environmental friendliness and autonomy of housing, and are ready to use smart technologies. It is worth noting the prospect of accounting in the developed layouts of apartments and houses, the possibility of equipping a home office (WFH) and separating the entrance area.

The quality of education in accordance with the main provisions of economic science is assessed by the profitability of human capital formed in the education system. For evaluation of the quality of higher education, the value of remuneration for graduates of higher educational institutions is used. In the remuneration of graduates, the influence of the wage level in the region is eliminated. The highest quality of education is in the Tver, Moscow, Tula Region. Low quality of education is in Orel, Bryansk and Kostroma Regions and in Moscow. The simplest quality of education can be the ratio of remuneration of graduates to the average salary in the regions. The use of this evaluation shows that high quality of education provides by Lomonosov Moscow State University, Moscow State Technical University of Civil Aviation, Tula State University, Oryol State Agricultural University, Belgorod State Agricultural University, Bryansk State Technical University, Vladimir State University, Voronezh State Technical University. The best quality of education among pedagogical higher education institutions provides the Tula State Pedagogical University.