Ye Zhang

Dr. Ye Zhang earned her Ph.D. from the School of Information Science and Technology at Northeast Normal University. Her research focuses on educational data mining, with expertise in MOOC recommendation systems, exercise recommendation algorithms, and the diagnosis of aesthetic perception in art education. She has addressed key challenges such as mitigating data sparsity in online platforms, enhancing personalized learning through adaptive recommendations, and improving assessment frameworks for aesthetic understanding. Her research contributions have been recognized through publications in leading journals and conferences. Dr. Zhang’s interdisciplinary approach combines data-driven methods with pedagogical insights, enabling her to design scalable solutions that support both educators and learners. She has collaborated with academic and industry partners to further enhance educational technologies. Through these efforts, she continues to shape the field of data-driven education, promoting innovative practices in both online and traditional learning environments.