Peking University
Financial AI teaching assistant
Peking University deployed its financial AI teaching assistant in more than 10 courses
Problem
Economics and finance teaching required students to work with specialist models and data. The university wanted AI support for course questions and independent study.
Approach
The Financial Engineering Laboratory built a teaching assistant using its accumulated research models and data. The system combined subject knowledge bases with multiple models and agents. It provided course question answering, programming help and self-tests in courses including Machine Learning and Asset Pricing.
Results
Takeaway
Course coverage established deployment across several teaching settings. The university did not report measured improvements in learning outcomes.
Categories
- Size
- Large enterprise
- Industry
- Education
- Business function
- Internal work and knowledge management
- Innovation type
- Product and service innovation
- AI technology
- Generative AIAI agents
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Peking University reported using its internally developed financial teaching assistant in more than 10 courses. Students could retrieve information, ask questions, obtain programming help and complete course self-tests.
Full details are in the original sources.