Aurora is a neuro-symbolic AI agent designed to provide academic advising in higher education, addressing advisor-to-student ratio issues by offering policy-compliant recommendations efficiently. Its key components include a normalized database schema, symbolic reasoning engine, and large language model for natural explanations, making it faster and more accurate than existing solutions while ensuring scalability and explainability for content creators focused on educational technology.
Read the full article at arXiv cs.AI (Artificial Intelligence)
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Ali NematiWritten by Ali
