In an era when artificial intelligence (AI) is touted as a disruptor of education, a series of landmark studies from the Shanghai Institute of Artificial Intelligence for Education, East China Normal University (ECNU), captures a more human-focused course. Published in a special issue of ECNU Review of Education, these four research projects, grounded in empirical data, deploys AI not to replace the human elements of teaching and learning, but to fundamentally understand and enhance them.

Large language models (LLMs) play a key role in advancing intelligent healthcare. While LLMs are increasingly applied in medical fields such as disease screening, diagnostic assistance, and health management, there are no evidence-based guidelines for assessing their effectiveness in healthcare. Now, researchers have developed a consensus that provides a systematic and evidence-based evaluation framework to assess effectiveness of LLMs in medical applications. The framework includes scientific evaluation metrics and procedures, providing guidance for model evaluators.

Researchers have successfully constructed Bayesian Neural Network models to describe fragment yields in photon-induced fission reactions of thorium isotopes, ranging from ²¹⁶Th to ²³²Th. The models not only accurately reproduce experimental data but also reveal the systematic evolution of fission mechanisms from asymmetric to symmetric fission along the thorium isotopic chain, providing crucial theoretical support for nuclear data libraries and advanced reactor design.

Researchers have conducted the comprehensive review of recent advances in multimodal natural interaction techniques for Extended Reality (XR) headsets, revealing significant trends in spatial computing technologies. This timely review analyzes how recent breakthroughs in artificial intelligence (AI) and large language models (LLMs) are transforming how users interact with virtual environments, offering valuable insights for the future development of more natural, efficient, and immersive XR experiences.