The School Faculty Development Sub-Center Hosts Lecture on "Teaching Resource Design and Practice Empowered by AI"

On the afternoon of June 19, 2025, the university's Faculty Development Center, in conjunction with the School of Languages and Communication Studies Faculty Development Sub-Center, successfully held a thematic lecture titled "Teaching Resource Design and Practice Empowered by AI". The lecture was delivered by Fan Shucheng, Director of the Experimental Center of the School and concurrently Secretary of the Administrative Party Branch. Over 30 teachers from across the university participated in the event.

At the beginning of the lecture, teacher Fan Shucheng systematically outlined the development stages of generative artificial intelligence, focusing on the transformative value of AI technology for teaching resource design. He introduced in detail the core functions of several mainstream AI tools (such as Tencent Yuanbao, DeepSeek, Doubao, Kimi, etc.), emphasizing their efficiency and innovativeness in teaching resource development, and guiding teachers to consider how to optimize teaching design through technological empowerment.

To deepen teachers' understanding of AI tools, Professor Fan Shucheng demonstrated the practical value of AI technology through live operation: using Tencent Yuanbao to export RTF format content to Word documents with one click; utilizing HTML format output combined with a self-built platform, html2web, to quickly build teaching webpages; generating structured mind maps using the MarkdownMap tool; and demonstrating the entire process of automatically generating a professional PPT with Kimi+. These cases vividly illustrated the practical application paths of AI in diversified teaching resource design.

Professor Fan Shucheng further proposed a practical framework for AI-empowered teaching resource design: teachers first need to clarify teaching objectives and select appropriate AI tools based on subject characteristics; then generate customized content (such as exercises, cases, interactive materials) through modular prompt design; finally, continuously optimize resource design based on teaching feedback. He particularly emphasized that AI tools must be student-centered, avoiding a disconnect between technology application and student learning situations, and highlighted the importance of reasonably setting boundaries for technology use through comparative analysis of real cases.

During the interactive seminar part, Professor Fan Shucheng organized teachers into groups to design AI teaching resource plans and provided on-site optimization guidance for different disciplinary scenarios. He mobilized teachers to actively discuss the challenges and difficulties in applying AI technology and jointly explore solutions. Several teachers shared that this lecture broke through the cognitive limitations of traditional resource design and equipped them with systematic methods to transform AI tools into practical teaching productivity.

This lecture provided teachers with new perspectives on cutting-edge educational technology empowering teaching and effectively enhanced their ability to construct informationalized teaching resources. The Sub-Center will continue to conduct a series of training sessions on intelligent educational technology to help teachers master digital teaching tools, build future-oriented digital teaching models, and collectively explore new educational paradigms in the era of artificial intelligence.