In recent years, significant advancements in educational technology, particularly the rise of online learning platforms, have transformed the way students engage with educational content. This study developed an intelligent digital human-based teaching system that leverages the capabilities of large language models to provide personalized, interactive, and real-time support.

A synthesis of four studies showcasing how to use artificial intelligence technologies to design collaborative learning scenarios that have implications.

Recently, a study led by Professor Qiran Zhao from the College of Economics and Management, China Agricultural University, for the first time incorporated physical fitness tests into the evaluation system. By analyzing the implementation effect of China’s Nutrition Improvement Program (NIP) for rural compulsory education students, the study provides a new perspective for optimizing SFPs worldwide, especially in African countries. The related article has been published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2025611).