Ensuring an adequate and sustainable quantity of human resources is a prerequisite for teaching quality. Croatia is one of just three nations in Europe that doesn't conduct systematic labor market analyses in order to forecast employability for all professions after graduation from higher education, including teachers. The methodological framework for the development of dynamic models for modeling human potential in the education system proposed in this dissertation represents a significant contribution to facilitating strategic planning and serves as a tool for simulation experiments aimed at reducing planning uncertainty in the future. The proposed model is based on the system dynamics method with agent-based modeling elements. By using the advantages of both methods, a hybrid model was created that implements the advantages of modern information and communication technology and enables flexibility in model development and applicability in different areas. Own methodological framework proposes four stages in model development: definition, design, analysis and verification, and validation. It is important to emphasize that the process of evaluating the model is divided into two phases, verification or internal confirmation of the model’s validity, and validation or external confirmation by the user. This means that the user of the model and the researcher work more closely together, as not only the accuracy of the values obtained is verified, but also the applicability and usefulness of the model. The methodological framework was applied to the system of primary education in the Republic of Croatia. The developed model was verified using relevant data from the years 2010 to 2021. Scenarios were developed in which the user can interactively change parameter values and monitor changes. Compared to conventional planning methods, such simulations offer a deeper understanding of the regularities in the system and enable better planning A graphical user interface was developed that allows the user to independently use the model and the scenarios created without knowledge of program code or simulation modeling methods. The model was validated using scenarios and a graphical user interface, and it was found that the model was useful for managing enrollment policy and human resources based on expert opinions collected through a survey. It was found that the created methodological framework provides decision support for human resources planning in the education system.