Using Smart Complexes to Optimize the Pace of Students’ Vocational Training
摘要
The use of SMART complexes with artificial intelligence elements in vocational education institutions in Ukraine enhances the quality and flexibility of learning, addressing challenges posed by wartime conditions and facilitating the transition to Vocational Education 4.0. This study investigates the effectiveness of SMART complexes in optimizing the pace of vocational training by comparing remote education in the central-eastern region, often disrupted by air-raid alerts and power outages, with in-person learning in the western region. Surveys of students and instructors, along with an analysis of learning outcomes, reveal the advantages of individualized learning enabled by artificial intelligence technologies. The research employs a mixed-methods approach, integrating qualitative and quantitative data to evaluate the impact of different learning models on student performance. Findings indicate that SMART complexes promote personalized learning, enabling students to progress at their own pace while adjusting task complexity according to their abilities. In the central-eastern region, remote education is essential for maintaining educational continuity, whereas the fixed pace of in-person learning in the western region limits adaptability. The study concludes that SMART complexes significantly enhance vocational education by fostering personalized approaches, developing digital skills, and increasing motivation. Their integration ensures effective adaptation of educational content to individual needs and labor market demands, offering a robust solution for optimizing the educational process under contemporary conditions.