The School of Economics at Shenzhen MSU-BIT University shoulders the important mission of cultivating outstanding economic management talents. It has long adhered to the guiding principle of "nurturing roots, shaping souls, enlightening wisdom, and moistening hearts," and is committed to continuously improving faculty standards through teaching exchanges. Against the backdrop of profound socioeconomic transformations driven by artificial intelligence, the urgent challenge for higher education lies in how to innovate educational models and cultivate future-oriented, innovative talents. To further deepen and expand digital teaching capabilities, on December 6, the School of Economics at Shenzhen MSU-BIT University hosted the "AI Empowerment and Teaching Capacity Building" workshop for distinguished educators. The event aimed to address the new demands of talent cultivation in the digital economy era, focusing on innovative practices of integrating AI technology into education. Through sharing experiences in curriculum development, instructional design, and case studies, the workshop sought to enhance the faculty's digital teaching competencies.
The event was chaired by Professor Meng Fanchen, Chinese Director of the School of Economics. President Professor Li Hezhang and First Vice President Professor Sergey Ivanchenko delivered opening remarks. Experts and scholars from institutions such as Beijing Institute of Technology, Lomonosov Moscow State University, and South China University of Technology, along with all faculty members of the School of Economics at Shenzhen MSU-BIT University, participated in the exchange.
Li Hezhang fully affirmed the efforts made by the School of Economics in organizing this workshop. He emphasized that in the digital era, faculty members should enhance classroom teaching standards in three key aspects: first, integrating scholarly rigor with academic excellence to create classrooms with "potential energy"; second, innovatively applying advanced technologies to build "digitally and intelligently empowered" classrooms; and third, adhering to nurturing principles akin to "a strict father and a caring mother" to foster "resilient" classrooms.
In closing, he encouraged young faculty members to actively explore the deep integration of AI with curricula, moving beyond superficial technological applications and avoiding mechanistic communication, in order to truly awaken students' self-awareness and growth resilience.
Ivanchanko congratulated the successful hosting of the workshop and stated that the university would strongly support the organization of such teaching activities. He expressed his hope that the workshop would help young faculty members pass on the torch, hone their teaching skills, and serve as an important platform for deepening exchanges between Chinese and Russian educators while solidifying the foundation for talent cultivation.
This workshop brought together several distinguished educators who shared cutting-edge insights on teaching innovation from diverse perspectives. Zhao Ziqiang, a Beijing Young Teaching Excellence Award recipient and associate professor at Beijing Institute of Technology, took the course *Mechanical Principles* as an example to systematically explain how to empower first-class curriculum development through digital and intelligent technologies by integrating the five key stages of "learning, practicing, applying, creating, and competing."
Zhao Erdong, a National Curriculum Ideology and Politics Teaching Excellence Award winner and professor at Beijing Institute of Technology, vividly illustrated how to enhance classroom communication effectiveness by leveraging brain science principles to strategically engage students' instinctive, emotional, and logical brains, using real-life examples.
Ma Baolong, an Outstanding Case Teacher recognized by the Ministry of Education and professor at the School of Management, Beijing Institute of Technology, focused on case-based teaching, sharing how to bridge management theory and business practice by constructing a "Three-Real Case" teaching system, thereby improving teaching effectiveness and feeding insights back into corporate practice.
At the meeting, faculty representatives from the Chinese and Russian sides of the Economics Department shared cutting-edge concepts and practical experiences on topics such as AI integration in teaching, creating efficient classrooms, and immersive teaching.
The successful hosting of this Teaching Masters Workshop not only provided young faculty members with a valuable learning platform, effectively enhancing their digital teaching capabilities, but also reflected the Economics Department's years-long commitment to developing this distinctive event. Through years of accumulation, the workshop has evolved into a key vehicle for refining teaching teams and innovating pedagogical methods, significantly strengthening the department's faculty in their ability to educate in complex digital environments and laying a solid foundation for cultivating interdisciplinary talents who meet the demands of the times. Looking ahead, the Economics Department will systematically summarize past experiences to advance this event into a high-level, regularized, and institutionalized teaching brand, ensuring its enduring and profound impact in leading teaching reforms, strengthening Sino-Russian collaboration, and serving talent development.
