Dev Conference by Neo4j
Session Track: AI
Session Time:
Session description
Higher education faculty are intrigued yet cautious about AI-generated materials. At the University of Delaware, our UD Study AiDE project highlights the advantages of these materials in academia. Using years of class recordings, we've developed a dynamic knowledge graph, which serves as the basis for generating course-specific, AI-driven learning aids tailored to students' needs via a large language model. Join us to explore the methodologies behind our knowledge graph and discuss our plans for expanding the project. We aim to empower faculty and students to query their own data, fostering more personalized and effective learning experiences.
Educational Software Developer, University of Delaware
Joe Naccarato is an Educational Software Developer at the University of Delaware. Joe has been programming or teaching programming since he left UD as an undergrad in 2000. Jevonia Harris is the Education Software Engineer Lead at UD. She is a jack of many trades and the master of some. She enjoys the challenge and joy that being a lifelong learner and creative person brings. From programming to faculty support to project management and everything in between, Jevonia supports the systems that support the University. In addition, Jevonia has had a guiding hand in many pilot projects that have now become staples in the University landscape.
Educational Software Engineer, University of Delaware
Jevonia supports the UD Capture suite of tools, which is responsible for managing thousands of recordings —per week— from UD classrooms, studios, and homes. From programming to faculty support to project management and everything in between, Jevonia supports the systems that support the University. In addition, Jevonia has had a guiding hand in many pilot projects that have now become staples in the University landscape.
