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TECHNOLOGIES FOR TRAINING STUDENTS’ CLINICAL THINKING THROUGH THE DISCIPLINE OF INFECTIOUS DISEASES

PROFESSIONAL COMPETENCIESININFECTIOUS DISEASES · NosirovMuzaffar Madaminovich

Международный журнал искусственного интеллекта · 05 · 703–712 · 2025

Аннотация

This article explores the critical role of didactic materials in the development of professional competencies among medical students specializing in infectious diseases. The study emphasizes the effectiveness of structured didactic resources such as algorithms, clinical cases, simulation technologies, and digital platforms in improving students’ diagnostic competence, clinical forecasting skills, and evidence-based therapeutic decision-making. By integrating innovative pedagogical tools with traditional learning methods, medical education can more effectively prepare future physicians for thecomplexities of diagnosing and managing infectious diseases. This approach not only enhances clinical reasoning and analytical thinking but also fosters reflective learning, professional responsibility, and interdisciplinary collaboration, which are essential formodern medical practice. Keywords: Didactic materials, professional competence, infectious diseases, diagnostic skills, clinical forecasting, medical education, reflective learning, integrative approach, simulation technologies, evidence-based medicine.

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«This article explores the critical role of didactic materials in the development of professional competencies among medical students specializing in infectious diseases.»

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This article explores the critical role of didactic materials in the development of professional competencies among medical students specializing in infectious diseases. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Didactic materials, professional competence, infectious diseases, diagnostic skills, medical education, clinical thinking, VAK model, diagnostic competence, simulation technologies, case-based learning, cross-disciplinary approach.
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