An Intelligent Tutoring System for Quote Generation Training in the Industry
George Pashev, Silvia N. Gaftandzhieva · 2025
This paper presents a theoretical framework and system architecture for an intelligent tutoring system (ITS) in professional quote generation training, integrating Bloom's Taxonomy with adaptive AI assessment. Following established practices in educational technology research, this work provides foundational theoretical development prior to large-scale empirical validation. The system addresses skill gaps in domain-specific professional training through a microservices architecture that combines pedagogical foundations with AI-enhanced personalization. The research contributes methodological approaches for AI-enhanced vocational education while maintaining human agency in complex professional skill development.