Researchers propose AUSS, a multi-agent AI system that automates personalized learning, grading, and dropout prediction in schools — achieving 92% accuracy on course recommendations

Researchers at arXiv published a framework called AUSS (Agentic Unified Student Support System) that uses multiple AI agents (autonomous decision-making systems) working together to handle three layers of education: helping individual students learn better, automating teacher tasks like grading, and giving school administrators data to spot at-risk students before they drop out.