The Second Session of the “Gathering Intelligence and Integrating Digitalization, Sharpening Tools First “ Training Activity Was Successfully Held

On the afternoon of March 18th, the second session of the "Intelligent Finance Course System Construction and Implementation Empowered by AI" series of training activities launched by the Experimental Teaching Center of BNUBD was successfully held in the main building 1632. This event focused on cutting-edge intelligent financial technologies, and invited Zhang Yuxin, General Manager of the R&D Department of Beijing Dongfang Zhengbao Technology Co., Ltd., to share practical experience, aiming to promote the deep integration of accounting education and digital transformation. Jiang Jie, Associate Dean of the School, presided over the event, and more than ten teachers participated.

In this lecture, Zhang Yuxin mainly focused on three aspects: AI empowering finance courses, smart course construction, virtual simulation, and virtual teaching and research room construction. In terms of AI empowering financial courses, Zhang Yuxin deeply analyzed the application of AI in financial courses and detailed the methods of using AI technology to build a large accounting industry model. The practical path for promoting the construction of smart courses is elaborated around knowledge graphs and AI scenarios. In addition, Zhang Yuxin also shared his exploration experience in the fields of virtual simulation and virtual teaching and research rooms.

In the process of exploring the construction of intelligent accounting courses, Zhang Yuxin used "big data financial analysis" and "big data financial decision-making" as examples to explain the specific path of integrating AI technology into financial teaching. The attending teachers had in-depth discussions on key issues such as "balancing AI and teacher roles" and "how to organically integrate model training with curriculum design". Teachers pointed out that only by closely integrating Python or AI technology with diverse case scenarios can ideal teaching effects be achieved, and emphasized that AI technology should be oriented towards enhancing students' core abilities while lowering the threshold for applying AI technology. Zhang Yuxin responded positively to the questions and suggestions raised by teachers, expressing the hope that in the future, through joint research between schools and enterprises, data barriers can be broken down, and case studies and teaching designs can be continuously optimized.

Through this training activity, teachers gained a deep understanding of how to combine AI technology with traditional accounting and finance courses, and were inspired to build an intelligent finance curriculum system, adding new impetus to AI enabled education and teaching.

Contributed by Experimental Teaching Center

Edited by Shen Yan

Reviewed by Jiang Jie