INTEGRATION OF ARTIFICIAL INTELLIGENCE AND EMPIRICAL RESEARCH IN IDENTIFYING YOUTH LEADERS' SOCIAL COMPETENCE: CURRENT STATUS AND PROSPECTS
This article analyzes the theoretical and methodological foundations of integrating artificial intelligence (AI) technologies and empirical research in identifying youth leaders' social competence, outlining the prospects for further developing empirical results in this field. The relationship between social competence, leadership ability, communicative potential, and professional identification processes is thoroughly examined through the lens of AI-driven modeling. Furthermore, the paper proposes specific psychological mechanisms, innovative AI approaches, and practice-oriented recommendations aimed at enhancing the digital identification and assessment of young leaders' social competence.
Authors
- Sharopov Sadriddin
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-11
- DOI
- https://doi.org/10.5281/zenodo.24123683
- Primary Topic
- Social Skills and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00