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Course Advisor System Using AI

Description

Identifying courses within the Duke registration system that align with student learning interests and/or career ambitions is difficult for Duke students. A team of students will leverage AI-based semantic search and recommendation methods to develop a tool for students to more easily identify courses that match their interests and career aspirations. The Code+ team will collaborate with Duke’s Center for Research and Engineering of AI Technology in Education (CREATE) and the University Registrar to build a prototype tool.

Watch the team's final presentation on YouTube.

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Course Advisor System Using AI: From left to right: Esther Cheng, Van Huy Nguyen (top), Jack Munson, Adam Noor (top), and Ellora Devulapally

 

Team

Members

Leaders

Project Facilitators

Sponsors

National Science Foundation Grants 2201525 (NCShare Science DMZ) and 2201105 (NCShare Compute as a Service)


Categories

2024