Knowledge Component

Knowledge components (KCs) represent fundamental units of knowledge within a specific domain, crucial for effective learning assessment and personalized instruction. Current research focuses on automating KC identification and linking from various sources like multiple-choice questions and multimedia educational content, often leveraging large language models and multimodal architectures to overcome the limitations of manual annotation. This automated approach promises to improve the efficiency and scalability of intelligent tutoring systems, enabling more accurate student modeling and adaptive learning experiences, particularly in data-scarce environments. Furthermore, research explores how KCs can be integrated into knowledge graphs and used to enhance knowledge tracing and recommendation systems within educational settings.