Correspondents:SU Physics & Optoelectronics Office, WWNT and Suiguangming Education Division
Introduction:In November 2025, Shenzhen University's School of Physics and Optoelectronics completed its "AI-empowered smart course" project, won by WWNT Robotics (Guangzhou). Centered on the self-developed teaching agent, both sides built a full digital flagship course system for optoelectronics and AI graduates using AIGC and multimodal technology.
I. Deep school-enterprise alignment on the AI course plan
Early on, SU teaching leads and graduate faculty visited the WWNT/Suiguangming Shenzhen R&D center for technical negotiations and solution discussions.
The R&D team demoed Yanshu AI's full features, tailoring a plan for optics and computer vision courses; the university set three core needs (flagship courses, digital research courses, refined learning analytics) and four modules (slide beautification, video editing, knowledge graphs, in-class Q&A).
Photo 1: SU faculty and WWNT/Suiguangming R&D and curriculum leads in discussion, with a live Yanshu AI demo and requirements review
II. Yanshu AI deployment: transforming graduate courses
The project delivered the Yanshu AI course-production module covering the full digital chain:
Smart material processing
The agent auto-beautifies PPTs, edits videos, and generates synced subtitles, greatly reducing repetitive work; it also builds visual knowledge graphs from keywords.
Optoelectronics-specific RAG knowledge base
A local knowledge base for optics, sensor fusion, and machine vision integrates years of courseware, lab guides, and literature, enabling real-time Q&A.
Learning analytics visualization
Auto-captures interaction, exercise, and video-watch data to generate class/individual analytics, helping teachers pinpoint weaknesses and adjust pacing.
University feedback:Faculty said Yanshu AI automates repetitive teaching work, freeing time for lab guidance and research innovation.
Photo 2: Yanshu AI backend showing knowledge graphs, learning analytics, and subtitle generation
III. Value: a model for blended STEM teaching
The project brings multiple improvements to SU graduate teaching:
- Efficiency:AI replaces 80%+ repetitive course production and grading, reducing faculty burden;
- Resource accumulation:A unified digital resource library for reusable, iterable content;
- Quality:Online preview + offline labs form a closed loop suited to graduate research;
- Demonstration:A replicable AI flagship course template to be extended to undergraduate courses.
Project leads said:Yanshu AI is the software core of the "hardware + curriculum + digital platform" solution, seamlessly integrating the AI training kit, humanoid robots, and dexterous hands for unified management.
Photo 3: SU teaching team and project group at delivery, with Yanshu AI license and teaching resources handed over
IV. Long-term collaboration plan
Both sides reached a long-term cooperation intent with three follow-ups:
- Extend digital transformation to undergraduate AI and optoelectronics courses;
- Co-build an AI optoelectronics lab with the training kit for vision and optical detection;
- Jointly apply for new-engineering and digital teaching reform grants.
Conclusion
This project is a model of industry-education integration in graduate digital teaching. WWNT and Suiguangming will keep iterating Yanshu AI to provide integrated digital course + smart training solutions nationwide.