On May 16, Central China Normal University (CCNU) unveiled Panlong, the first self-developed & AI-powered mathematics tutoring system designed to transform personalized learning in primary and secondary schools, at the Hubei Mobile AI Achievements Launch Conference.
Primary and secondary mathematics education currently faces three principal challenges: low efficiency in generating teaching resources for teachers, insufficient student participation in class, and single learning assessment approach, all of which hinder personalized instruction. "Panlong is specifically designed to address these real-world challenges," said Zhong Rui, the project team leader and anassociate professor from the School of Computer Science at CCNU.
The project was jointly developed by the R&D team of CCNU's School of Computer Science, the School of Mathematics and Statistics and The First Affiliated Middle School of CCNU. Powered by multimodal large-language model technology, it has built a vast mathematics teaching corpus. The platform can automatically generate high-quality mathematical materials, provide intelligent diagnostics of student learning profiles, deliver personalized learning, and offer data-driven decision support for teachers, reaching an industry-leading level in mathematical problem-solving.
At the launch conference, President Peng Shuangjie noted that Panlong represents both a landmark achievement in the university's contribution to China's digital-education strategy and a valuable pilot for AI-driven reform in teacher training and basic education. He called for close partnership with China Mobile - leveraging its cloud-network, big-data, and AI technical capabilities - to pool resources, broaden disciplinary applications, and deepen industry-academia collaboration. These efforts will help to create more typical scenarios with demonstration and leading effects, thus exploring new models for digital empowerment of teacher professional growth, and providing a solid foundation for cultivating high-quality educational talents adapted to the intelligent era.
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