Exploring the Infinite Possibilities of Mathematics and AI: Student Workshop on AI Successfully Held at the SMP

In the context of the rapid development of artificial intelligence (AI), AI is gradually transforming traditional learning and teaching methods. As a foundational discipline, mathematics is also being revitalised by the advancements in AI.

On 12 March, the School of Mathematics and Physics (SMP) at Xi’an Jiaotong-Liverpool University (XJTLU) successfully hosted a student workshop titled "Exploring Mathematics with Artificial Intelligence." The event attracted over 50 faculty members and students, showcasing the strong interest of the XJTLU community in the intersection of AI and mathematics.

The seminar was organised by Dr Yi Hong and Dr Jinsong Xu from SMP. Eight groups of students shared their experiences in using large language models such as ChatGPT and DeepSeek to solve and explore mathematical problems. Their presentations demonstrated how these tools can help understand complex mathematical concepts, generate innovative solutions, and enhance learning efficiency.

Highlights of Student Presentations:

Wang Hongwei presented on AI-Driven Python Code Generation for Solving Specific Mathematics Problems, demonstrating how AI models can automatically generate Python code to efficiently solve specific mathematical problems, offering new insights into the integration of programming and mathematics.

Yukun Chen and Peishan Li shared their work on Optimising Research Writing Outcomes via Artificial Intelligence Integration, highlighting the application of AI in optimising academic research writing.

Zhang Yuxi's team presented a detailed report on Deepseek Localisation Research, showcasing their findings on the localisation of DeepSeek.

Bingyu Ban's team compared various AI models in their presentation Exploration of Different AI Models in Math Learning, providing practical references for selecting models in mathematical problem-solving.

Xiang Li and Taoran Xu analysed the application value of AI-assisted Python programming in mathematical modelling through specific case studies in their presentation Report on Python AI Coding.

Lei Yan and Jiakang Zhao systematically summarised a general framework and methodology for solving complex mathematical problems using AI in their presentation Report on Solving Problems with AI.

Chufei Su and Chenxi Yao proposed new directions for optimising mathematical problem-solving tools through a comparative analysis of complex functions and operations using Natural Language Processing (NLP) systems in their presentation Comparative Analysis of NLP Systems based on Complex Function and Operations Research for Mathematics Problem Solving.

AI Empowers Mathematics Learning: Efficiency and Inspiration

Wang Hongwei shared, "The greatest advantage of AI is saving time. Our learning time is limited, and AI can help us quickly access vast resources from the internet, providing multiple perspectives and problem-solving ideas. Although not always entirely accurate, it at least offers some inspiration and direction."

Promoting the Deep Integration of AI and Education

This seminar not only provided students with a platform to showcase their learning achievements but also sparked in-depth discussions on the future of mathematics education in the era of artificial intelligence. The event aligns closely with XJTLU's vision of integrating AI into its curriculum, offering valuable insights for advancing the university's educational goals.

Through this event, SMP demonstrated its active exploration of the intersection between AI and mathematics, while also providing new ideas for the innovation of future educational models.

By Zhen Ma

Edited by Qinru Liu