Predicting Multi-Type Talented Students in Secondary School Using Semi-Supervised Machine Learning

Xinzhe Zheng, Zhen-Qun Yang, Jiannong Cao +1

Talent identification plays a critical role in promoting student development. However, traditional approaches often rely on manual processes or focus narrowly on academic achieveme…