The rapid development of generative artificial intelligence (GenAI) is leading the education sector into a new transformative stage. Ubiquitous intelligent learning spaces, human-machine collaborative educational scenarios, technology-driven shifts in teaching models, transformations in learning methods, and technology-enabled reform of teaching assessment constitute the foundational conditions for GenAI to empower personalized learning. Data-supported precision teaching, human-machine collaborative personalized learning, and system-integrated intelligent assessment form the practical strategies for GenAI to empower personalized learning. GenAI promotes the reform of consistency in teaching, learning, and assessment, becoming a key driving force facilitating personalized learning.
Bo Chen (Thu,) studied this question.