Section: 
General questions of otolaryngology
General questions of otolaryngologyQualitative analysis of self-reflection sheets using artificial intelligence as a tool for optimizing postgraduate education in otolaryngology
P. V. Pavlov (1), M. L. Zakharova (2), G. V. Vlasova (3), Yu. V. Legkova (4)
(1), (2), (3), (4) Saint Petersburg State Pediatric University, Saint Petersburg, 194100, Russian Federation
UDK: УДК 616.21:378.046.4:004.8
DOI: https://doi.org/10.18692/1810-4800-2026-2-8-16
ABSTRACT
Abstract. Objective. To evaluate the effectiveness of a month-long theoretical course in otolaryngology and identify areas for its optimization using a qualitative analysis of residents’ self-reflection sheets using artificial intelligence (AI). Materials and methods. Twenty-one clinical residents completed a standardized self-reflection sheet following the theoretical course. Anonymized text responses were subjected to qualitative content analysis using a large-scale language AI model (DeepSeek) to identify key trends, growth areas, and evaluate educational methods. Results. The analysis revealed three key topics that were best learned (emergency care, oncological alertness, complications of inflammatory diseases) and three most problematic areas (topographic anatomy of the temporal bone, vestibulology, pediatric otolaryngology). Residents highly valued the interactive learning formats (case studies, visualization). Based on the analysis, specific recommendations for curriculum modification were developed. Conclusions. The use of self-reflection sheets in combination with AI analysis is an effective, rapid, and cost-effective method for obtaining in-depth feedback from students. This approach enables a shift from episodic assessment to continuous data-driven improvement of the educational process.
Publication date:
15.04.2026
Keywords:
artificial intelligence, otolaryngology, education optimization For citation:
Pavlov P. V., Zakharova M. L., Vlasova G. V., Legkova Yu. V. Qualitative analysis of self-reflection sheets using artificial intelligence as a tool for optimizing postgraduate education in otolaryngology. Russian Otorhinolaryngology. 2026;25(2):8-16. (In Russ.) https://doi.org/10.18692/1810-4800-2026-2-8-16