Undergraduate Physic

Undergraduate physics education is undergoing a transformation driven by advancements in artificial intelligence and data science. Research focuses on developing AI-powered tools, such as large language models and physics-specific text embedding models (e.g., PhysBERT), to personalize learning, improve problem-solving skills, and enhance understanding of complex concepts. These efforts aim to better equip students with data analysis skills and a deeper conceptual grasp of physics, ultimately preparing them for a data-driven scientific landscape. The integration of data science into the curriculum is also a key area of focus, with communities of practice sharing best practices and addressing challenges in this rapidly evolving field.