A study from East China Normal University explores how Large Language Models (LLMs) can revolutionize education by automating teaching tasks. It highlights two key applications: generating customized materials and streamlining assessment. While LLMs reduce educators’ workload, human oversight remains crucial. The research suggests a collaborative model where teachers act as orchestrators and LLMs serve as assistants, ensuring AI integration enhances personalized education while maintaining instructional quality and adaptability.

Social-emotional ability serves as a critical human foundation for sustainable societal development. While researchers have focused on enhancing primary and secondary school students' social-emotional skills, the development of university students' social-emotional ability has been overlooked. This study examines the current state of college students' social-emotional abilities. It identifies that these skills are significantly influenced by various factors, including education level, gender, university type, geographic origin, family background, and teacher–student relationships, which are found to significantly affect college students' social-emotional ability.