Theoretical and methodological foundations of forming meta-competencies in project-oriented training of the techno-social space of the higher education institution

The article discusses issues related to the theoretical and methodological foundations of studying the formation of cognitive and communicative competencies in project-oriented training (hereinafter referred to as POT) of higher education institutions from the standpoint of the concept of a non-classical competence approach. The main concepts and models of intelligence are considered as the theoretical and methodological basis for the development of the KPI (key performance indicators) system which characterises the holistic model of competencies. First of all, it is meta-competencies of POT (project-based training) and the new concept of managerial design (system management competitions). The authors propose a new approach based on the concept of attribution and focused, unlike the classical target planning and management, on the development of the project participants’ own capabilities. The research purpose is to provide a theoretical and methodological justification of the formation and development of meta-competence from the standpoint of a non-classical competence approach and modern concepts of management design. The objectives are the following: to give a brief overview of existing theories and models of intelligence (factorial, cognitive, mixed); to identify the most promising model (J.P. Guilford’s structure of intellect) suitable for the formation of a hybrid system of models; to give a brief analysis of the POT technology on the basis of the expansion of the “project” concept in the post-non-classical concept of managerial design. While studying this topic, the following methods were used: the method of theoretical analysis of the sources devoted to the investigated problem, illustrative-graphical and comparative methods, post-non-classical concept of managerial design, modern concepts of knowledge (Th.S. Kuhn, V.S. Styopin) as well as existing types of models of intelligence.

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