MODERN EDUCATIONAL TECHNOLOGIES AND METHODS IN PROFESSIONAL EDUCATION

Abstract

This thesis delves into the integration of modern educational technologies and methods in professional education, examining their profound impact on learning outcomes, skill development, workforce preparation, and lifelong learning. Drawing from systematic reviews, empirical studies, and recent 2025 trends, it explores key technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), gamification, adaptive learning platforms, big data analytics, and microlearning modules. Innovative methods including project-based learning (PBL), flipped classrooms, blended learning, inquiry-based learning, collaborative approaches, experiential cycles, and personalized instruction are analyzed in depth. Benefits encompass heightened student engagement through immersive simulations, personalized feedback, and real-world applications, while challenges include digital divides, educator training deficiencies, privacy concerns, high implementation costs, and potential overreliance on algorithms. The analysis incorporates insights from global trends like AI-driven personalization and VR for vocational simulations, emphasizing the need for equitable access and pedagogical alignment. Recommendations advocate for hybrid models, industry collaborations, and policy reforms to optimize these tools in vocational training, higher education, and continuous professional development, ultimately fostering a more adaptive and inclusive educational landscape.