Abstract
The article discusses the pedagogical and technological aspects of training future specialists to predict the results of their professional activities. Methods for developing forecasting competence in students are proposed, and ways to improve modern technologies applied to the educational process are proposed. The main goal of the study is to increase the competitiveness of students in the labor market through the development of professional adaptation and decision-making skillsReferences
1. UNESCO report on "The Future of Education" (2024).
2.
5. OECD. Future of Education and Skills 2030: OECD Learning Compass 2030 [Electronic resource]. - URL: https://www.oecd.org/education/ 2030-project/ ( date) accessed: 25.01.2026).
3. Johnston, R. Predictive Analytics in Higher Education: Data-Driven Decision Making / R. Johnston // Journal of Modern Education. -2023. - Vol. 15, -No. 2. -P. 45-58.
4. Sahlberg, P. Finnish Lessons 3.0: What Can the World Learn from Educational Change in Finland? / P. Sahlberg. -New York: Teachers College Press, -2021. -212 p.