This paper examines the evolving landscape of educational knowledge transfer, focusing on its relationship with digital transformation and information technology. Situated at the intersection of pedagogy and computer science, the paper introduces a semantic model. The model is grounded in a domain ontology developed using the “ontology recipe” methodology and formalizes a vocabulary of key teaching factors, including teacher roles, instructional formats, spatial-temporal conditions, assessment types, and didactic methods. These elements are arranged into modular taxonomies, making them adaptable to different educational environments and international contexts. The domain ontology of knowledge transfer is the theoretical framework that governs the conceptualization, organization, and transfer of knowledge within specific domains or fields of study. The project applies Semantic Web standards and emphasizes iterative refinement through expert feedback, aligning with current best practices in ontology engineering. While the model does not claim completeness, its extensible architecture lays the groundwork for a standardized, dynamic knowledge structure that can evolve alongside pedagogical and technological developments - especially within the context of STEM education.