AUTOMATED GENERATION OF DOMAIN-SPECIFIC LEARNING ASSIGNMENTS USING GENERATIVE LANGUAGE MODELS FOR CIVIL AVIATION TRAINING
Abstract. This research presents an intelligent system for automated generation of domain-specific learning assignments in civil aviation education using fine-tuned T5-small transformer models. Traditional assignment creation requires significant instructor time and expertise in aviation regulations, technical specifications, and safety procedures. We propose a transformer-based solution implementing a five-stage pipeline: corpus preprocessing, parameter-efficient fine-tuning via LoRA […]