Novice Classification

Novice classification research focuses on automatically distinguishing between beginners and experts in various domains, using diverse data sources like videos, text, and images. Current approaches leverage deep learning models, including convolutional neural networks and large language models, to analyze these data and identify characteristic patterns indicative of skill level. This work is significant for improving training and assessment methods across fields such as healthcare, robotics education, and STEM education, offering objective and efficient alternatives to traditional subjective evaluations. The ultimate goal is to create more effective and personalized learning experiences.