JapanEducation2025 – ongoingNiigata University
Dify-based course recommendations for academic advising
Niigata reported that at least 85% of surveyed students found courses matching their interests
Problem
Students designing interdisciplinary minors had to search syllabus entries individually to find suitable courses.
Approach
Niigata University developed a recommendation system with students and Rakweb using Dify. Generative AI searched syllabus information by meaning and explained its recommendations. Operation began in May 2025, with an initial classroom trial involving 186 students.
Results
Takeaway
The satisfaction result covered 70 survey respondents. It did not establish improved learning outcomes for the full class.
Categories
- Industry
- Education
- Business function
- Customer service
- Innovation type
- Product and service innovation
- AI technology
- Generative AIRecommendation and personalization
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
The university described the system's development and initial classroom use. It reported positive course-discovery feedback from at least 85% of 70 respondents in a class of 186.
Full details are in the original sources.
