Network modeling of the intellectual competence structure

Background. Adolescence is characterized by significant qualitative transformations in the physical, intellectual, personal, and spiritual spheres of an individual. This stage is notable for a marked improvement in problem-solving skills, driven by the development of conceptual thinking and metacognitive abilities in the context of intellectual growth. These advanced cognitive mechanisms are key to achieving intellectual competence and productivity. Purpose. To determine the structure of the intellectual competence construct in late adolescence in terms of its conceptual, metacognitive, and intentional abilities. Materials and methods. The article presents the results of an empirical study aimed at identifying the structure of intellectual competence in the context of manifestations of conceptual abilities, voluntary and involuntary metacognitive abilities, and intentional abilities in older adolescents. The study involved 90 students aged 14–16 from secondary schools in Moscow. Data from the following methods were used in the study: “Conceptual Synthesis” (by M.A. Kholodnaya, Y.I. Sipovskaya, 2023), “Method for Diagnosing the Degree of Reflexivity Development” (by A.V. Karpov, 2003), “Matching Familiar Figures Test” (by J. Kagan, 1966), “Mindset” (by Y.I. Sipovskaya, 2015) and “Interpretation” (by Y.I. Sipovskaya, 2016). Results. Correlates of intellectual competence indicators in late adolescence were identified, demonstrating selective correlations with conceptual, metacognitive, and intentional abilities. The main elements of the intellectual competence construct include skills related to creating new contexts, managing intellectual activity, and exhibiting specialized intellectual sensitivity. At the same time, indicators of involuntary intellectual control show a weaker association with intellectual competence. This suggests that the intellectual competence construct is heterogeneous, reflecting differences in the functional roles and cognitive complexity of its components. EDN: YSPSDW