School of Languages and Communication Studies Teacher Development Sub-center Holds Lecture on "AI-Empowered Teaching Resource Design and Practice"

[2025-06-23]

On the afternoon of June 19, 2025, the Beijing Jiaotong University Teacher Development Center, in collaboration with the Teacher Development Sub-center of the School of Languages and Communication Studies, organized a thematic lecture on "Teaching Resource Design and Practice Empowered by AI". The lecture was delivered by Fan Shucheng, Director of the Experimental Center and Secretary of the Administrative Party Branch of the School of Languages and Communication Studies, with participation from over 30 faculty members across the university.

Fan Shucheng began by systematically reviewing the development stages of generative artificial intelligence, focusing specifically on its innovative value in teaching resource design. He introduced the core functions of several mainstream AI tools—including Tencent Yuanbao, DeepSeek, Doubao, and KIMI—emphasizing their efficiency and innovativeness in teaching resource development while guiding participants to explore how technology can enhance instructional design.

To deepen understanding, Fan demonstrated practical applications through live operations: exporting RTF content to Word documents with one click via Tencent Yuanbao; rapidly constructing teaching webpages using HTML output combined with the self-built platform html2web; generating structured mind maps with MarkdownMap; and demonstrating the full process of automated PowerPoint creation using Kimi+. These examples vividly illustrated practical pathways for implementing AI in diverse teaching resource designs.

Fan further proposed a practical framework for AI-empowered teaching resource design: instructors should first clarify teaching objectives and select appropriate AI tools based on disciplinary characteristics; generate customized content such as exercises, case studies, and interactive materials through modular prompt design; and continuously optimize resources based on teaching feedback. He stressed that AI tools must remain student-centered to prevent disconnection from actual learning contexts, underscoring the importance of setting appropriate technological boundaries through comparative real-case analyses.

During the interactive session, Fan facilitated group activities where teachers designed AI-enhanced teaching resource plans, receiving on-site guidance tailored to different disciplinary scenarios. Participants actively discussed challenges in AI application and collectively explored solutions. Multiple faculty members noted that the lecture expanded their perspective beyond traditional resource design approaches and equipped them with systematic methodologies to transform AI tools into practical teaching productivity.

The lecture provided educators with new perspectives on empowering teaching through cutting-edge educational technology, effectively enhancing their capacity for developing informatized teaching resources. The Sub-center will continue organizing training series on intelligent educational technologies to help faculty master digital teaching tools, build future-oriented digital teaching models, and collectively explore new forms of education in the AI era.