Corporate Universities Go Mobile: AI-Powered Education Management for Workforce Training

This study investigates the effectiveness of AI-powered mobile education in Russian corporate universities by identifying key factors that influence learning engagement and training success. A quantitative methodology was employed, utilising a structured questionnaire administered to 280 employees from leading Russian companies. Data were analysed using structural equation modelling (SEM) to evaluate a model comprising perceived usefulness, system quality, AI personalisation, learning engagement and training outcomes. Findings indicate that artificial intelligence (AI) personalisation is the most significant determinant of learning engagement, fully mediating its impact on training effectiveness. While perceived usefulness and system quality also contribute, their influence is comparatively limited. The results suggest that successful digital transformation in corporate training requires not only advanced technology but also the development of engaging and personalised learning experiences. These insights are particularly relevant for human resources professionals and educational technology developers, emphasising the importance of adaptive learning algorithms and robust system architecture. This study is distinctive in its examination of an integrated model within the Russian corporate sector, offering a benchmark for the application of AI in workforce development.